diff --git a/apps/website/messages/en.json b/apps/website/messages/en.json index 208f761509..0bfd92c1c5 100644 --- a/apps/website/messages/en.json +++ b/apps/website/messages/en.json @@ -2,7 +2,17 @@ "lang": "en", "langSwitch": "RU", "langHref": "?lang=ru", - "nav": ["TRINITY", "Theorems", "Publications", "Solution", "Benchmarks", "Calculator", "DePIN", "Team", "Invest"], + "nav": [ + "TRINITY", + "Theorems", + "Publications", + "Solution", + "Benchmarks", + "Calculator", + "DePIN", + "Team", + "Invest" + ], "hero": { "tag": "GPU-Verified Green AI Economy", "badge_publications": "7 PUBLICATIONS", @@ -12,17 +22,45 @@ "quote": "\"Not a claim — a theorem. Not a promise — a proof. Not simulated — GPU verified.\"", "desc": "First AI platform with 4 mathematical theorems + GPU-verified benchmarks: 298K tokens/s (RTX 3090), 70% noise robustness at 30% corruption", "metrics": [ - { "value": "298K", "label": "Tokens/s (RTX 3090)", "proof": "RunPod GPU verified" }, - { "value": "274K", "label": "Tokens/s (A100)", "proof": "RunPod GPU verified" }, - { "value": "70%", "label": "Noise @30%", "proof": "Theorem 1 + GPU test" } + { + "value": "298K", + "label": "Tokens/s (RTX 3090)", + "proof": "RunPod GPU verified" + }, + { + "value": "274K", + "label": "Tokens/s (A100)", + "proof": "RunPod GPU verified" + }, + { + "value": "70%", + "label": "Noise @30%", + "proof": "Theorem 1 + GPU test" + } ], "newResults": { "title": "GPU-Verified Results (RunPod)", "items": [ - { "value": "298K", "label": "RTX 3090 tokens/s", "source": "runpod_full_tests_report.md" }, - { "value": "274K", "label": "A100 80GB tokens/s", "source": "e2e_repeat_report.md" }, - { "value": "70.2%", "label": "Noise Robustness @30%", "source": "Both GPUs identical" }, - { "value": "293W", "label": "A100 Power (vs 348W RTX)", "source": "nvidia-smi verified" } + { + "value": "298K", + "label": "RTX 3090 tokens/s", + "source": "runpod_full_tests_report.md" + }, + { + "value": "274K", + "label": "A100 80GB tokens/s", + "source": "e2e_repeat_report.md" + }, + { + "value": "70.2%", + "label": "Noise Robustness @30%", + "source": "Both GPUs identical" + }, + { + "value": "293W", + "label": "A100 Power (vs 348W RTX)", + "source": "nvidia-smi verified" + } ] }, "cta": "See the Proofs", @@ -100,10 +138,26 @@ "ctaUrl": "https://github.com/gHashTag/trinity/blob/main/docs/MATH_FOUNDATIONS.md", "reportsTitle": "Verified Benchmark Reports", "reports": [ - { "name": "Ternary Quantization Report", "url": "https://github.com/gHashTag/trinity/blob/main/docs/ternary_quant_report.md", "highlight": "15.7× compression" }, - { "name": "HDC Double Q-Learning Report", "url": "https://github.com/gHashTag/trinity/blob/main/docs/hdc_double_q_report.md", "highlight": "100% noise robustness" }, - { "name": "GPU Benchmarks", "url": "https://github.com/gHashTag/trinity/blob/main/docs/GPU_BENCHMARKS.md", "highlight": "8.1× SIMD speedup" }, - { "name": "Production Benchmarks", "url": "https://github.com/gHashTag/trinity/blob/main/docs/PRODUCTION_BENCHMARKS.md", "highlight": "Auto-scaling ready" } + { + "name": "Ternary Quantization Report", + "url": "https://github.com/gHashTag/trinity/blob/main/docs/ternary_quant_report.md", + "highlight": "15.7× compression" + }, + { + "name": "HDC Double Q-Learning Report", + "url": "https://github.com/gHashTag/trinity/blob/main/docs/hdc_double_q_report.md", + "highlight": "100% noise robustness" + }, + { + "name": "GPU Benchmarks", + "url": "https://github.com/gHashTag/trinity/blob/main/docs/GPU_BENCHMARKS.md", + "highlight": "8.1× SIMD speedup" + }, + { + "name": "Production Benchmarks", + "url": "https://github.com/gHashTag/trinity/blob/main/docs/PRODUCTION_BENCHMARKS.md", + "highlight": "Auto-scaling ready" + } ] }, "roiCalculator": { @@ -112,9 +166,27 @@ "inputLabel": "Initial Investment ($)", "hardwareLabel": "Hardware Type", "hardwareOptions": [ - { "name": "QMTECH FPGA XC7A100T", "hashrate": 2000000, "power": 10, "cost": 65, "monthly": 50 }, - { "name": "Alveo U55C", "hashrate": 50000000, "power": 150, "cost": 5000, "monthly": 162 }, - { "name": "CPU Node (Free)", "hashrate": 12000, "power": 65, "cost": 0, "monthly": 5 } + { + "name": "QMTECH FPGA XC7A100T", + "hashrate": 2000000, + "power": 10, + "cost": 65, + "monthly": 50 + }, + { + "name": "Alveo U55C", + "hashrate": 50000000, + "power": 150, + "cost": 5000, + "monthly": 162 + }, + { + "name": "CPU Node (Free)", + "hashrate": 12000, + "power": 65, + "cost": 0, + "monthly": 5 + } ], "results": { "monthlyRevenue": "Monthly Revenue", @@ -126,11 +198,26 @@ "example": { "title": "Example: Alveo U55C ($5,000)", "items": [ - { "label": "Monthly Revenue", "value": "$162" }, - { "label": "Electricity Cost", "value": "$31" }, - { "label": "Net Profit", "value": "$131/month" }, - { "label": "Payback", "value": "4.9 months" }, - { "label": "Annual ROI", "value": "31%" } + { + "label": "Monthly Revenue", + "value": "$162" + }, + { + "label": "Electricity Cost", + "value": "$31" + }, + { + "label": "Net Profit", + "value": "$131/month" + }, + { + "label": "Payback", + "value": "4.9 months" + }, + { + "label": "Annual ROI", + "value": "31%" + } ] }, "note": "Based on Theorem 3: 1.58-bit quantization enables 20× efficiency gains" @@ -141,12 +228,31 @@ "bitnetTitle": "The Binary Entropy Crisis", "bitnetDesc": "Standard GPUs waste 99% of energy fighting binary entropy. Translating trits {-1, 0, +1} into bits is a computational crime. We removed the middleman.", "binaryTitle": "Binary Emulation (Legacy)", - "binaryFlow": ["BitNet {-1,0,+1}", "↓ Binary Encoding", "↓ LLVM/Zig Layer", "↓ Gate Noise", "Heat/Loss"], - "binaryStats": ["Energy: 100% (Loss)", "Code: 5x Bloat", "Protection: None"], + "binaryFlow": [ + "BitNet {-1,0,+1}", + "↓ Binary Encoding", + "↓ LLVM/Zig Layer", + "↓ Gate Noise", + "Heat/Loss" + ], + "binaryStats": [ + "Energy: 100% (Loss)", + "Code: 5x Bloat", + "Protection: None" + ], "trinityTitle": "TRINITY NATIVE (V5.0)", "trinityDesc": "Native SU(3) core removes 99.8% waste and provides 100x faster inference.", - "trinityFlow": ["Coptic CIS V1.0", "↓ Native Triads", "↓ SU(3) Resonance", "Hardware Truth"], - "trinityStats": ["Energy: 0.17% (PAS 5.0)", "Code: 80.2% Compression", "Protection: Chern-Bott"], + "trinityFlow": [ + "Coptic CIS V1.0", + "↓ Native Triads", + "↓ SU(3) Resonance", + "Hardware Truth" + ], + "trinityStats": [ + "Energy: 0.17% (PAS 5.0)", + "Code: 80.2% Compression", + "Protection: Chern-Bott" + ], "quote": "\"Trinity Core VIBEE is not a computer. It is a native qutrit configuration.\"", "quoteSrc": "— Singularity V5 Report, 2026", "density": { @@ -195,37 +301,92 @@ "proofTitle": "Investor Proof-of-Concept", "proofIntro": "This prototype proves our approach superiority. We demonstrate not just a concept, but a working SU(3) blockchain stack — the foundation for future Trinity chips.", "proofItems": [ - { "title": "De-risking Phase", "desc": "Algorithms verified on silicon (ARM/FPGA). SU(3) logic is production-ready for ASIC." }, - { "title": "Market Conquest", "desc": "Trinity turns 7B smartphones into legal, profitable mining nodes without overheating." }, - { "title": "Exponential ROI", "desc": "578x energy efficiency leap is the only way for mining survival after 2026." } + { + "title": "De-risking Phase", + "desc": "Algorithms verified on silicon (ARM/FPGA). SU(3) logic is production-ready for ASIC." + }, + { + "title": "Market Conquest", + "desc": "Trinity turns 7B smartphones into legal, profitable mining nodes without overheating." + }, + { + "title": "Exponential ROI", + "desc": "578x energy efficiency leap is the only way for mining survival after 2026." + } ] }, "solution": { "title": "Why Absolute Triad?", - "legend": ["578.8x Energy Efficiency", "SU(3) Unitary Core", "Native Coptic Opcode (CIS)"], + "legend": [ + "578.8x Energy Efficiency", + "SU(3) Unitary Core", + "Native Coptic Opcode (CIS)" + ], "cards": [ - { "value": "578.8×", "label": "Energy Eff", "color": "blue" }, - { "value": "100×", "label": "SU(3) Speed", "color": "green" }, - { "value": "99.8%", "label": "Cost Reduction", "color": "purple" }, - { "value": "80.2%", "label": "Code Density", "color": "yellow" }, - { "value": "27-CIS", "label": "Native Alphabet", "color": "cyan" }, - { "value": "V5.0", "label": "Singularity", "color": "green" } + { + "value": "578.8×", + "label": "Energy Eff", + "color": "blue" + }, + { + "value": "100×", + "label": "SU(3) Speed", + "color": "green" + }, + { + "value": "99.8%", + "label": "Cost Reduction", + "color": "purple" + }, + { + "value": "80.2%", + "label": "Code Density", + "color": "yellow" + }, + { + "value": "27-CIS", + "label": "Native Alphabet", + "color": "cyan" + }, + { + "value": "V5.0", + "label": "Singularity", + "color": "green" + } ] }, "whynow": { "title": "Why Singularity Now?", "cards": [ - { "title": "Hardware Resonance", "desc": "Reached 100% alignment between linguistics and silicon via CIS V1.0." }, - { "title": "Entropy Harvesting", "desc": "PAS Daemons V5.0 turn information noise into useful execution energy." }, - { "title": "Topological Armor", "desc": "Chern-Bott invariants make Trinity computations immune to interference." } + { + "title": "Hardware Resonance", + "desc": "Reached 100% alignment between linguistics and silicon via CIS V1.0." + }, + { + "title": "Entropy Harvesting", + "desc": "PAS Daemons V5.0 turn information noise into useful execution energy." + }, + { + "title": "Topological Armor", + "desc": "Chern-Bott invariants make Trinity computations immune to interference." + } ] }, "usecases": { "title": "Specific Applications", "items": [ - { "title": "LLM Inference", "desc": "Run Llama 3 on 1/578 of current hardware costs." }, - { "title": "Edge AI", "desc": "Real-time AI in cameras and robots with zero latency." }, - { "title": "Data Centers", "desc": "100x your compute without upgrading power grid." } + { + "title": "LLM Inference", + "desc": "Run Llama 3 on 1/578 of current hardware costs." + }, + { + "title": "Edge AI", + "desc": "Real-time AI in cameras and robots with zero latency." + }, + { + "title": "Data Centers", + "desc": "100x your compute without upgrading power grid." + } ] }, "traction": { @@ -235,23 +396,72 @@ "url": "https://github.com/gHashTag/trinity", "techTitle": "Phase 5.0 Tech (Verified)", "techs": [ - { "title": "SU(3) Core", "desc": "Unitary phase rotations in Gell-Mann space", "tests": "Verilog Verified ✓" }, - { "title": "PAS V5.0", "desc": "Maxwell’s Information Pump: 578.8x Efficiency", "tests": "Thermodynamics ✓" }, - { "title": "Coptic CIS", "desc": "27 letters = 27 opcodes (Fixed-Point 16.16)", "tests": "5.1x Density ✓" }, - { "title": "Chern Protection", "desc": "Topological computation stability", "tests": "Invariant Locked ✓" } + { + "title": "SU(3) Core", + "desc": "Unitary phase rotations in Gell-Mann space", + "tests": "Verilog Verified ✓" + }, + { + "title": "PAS V5.0", + "desc": "Maxwell’s Information Pump: 578.8x Efficiency", + "tests": "Thermodynamics ✓" + }, + { + "title": "Coptic CIS", + "desc": "27 letters = 27 opcodes (Fixed-Point 16.16)", + "tests": "5.1x Density ✓" + }, + { + "title": "Chern Protection", + "desc": "Topological computation stability", + "tests": "Invariant Locked ✓" + } ], "progress": [ - { "label": "Knowledge (.tri)", "value": "20,645 files" }, - { "label": "Efficiency", "value": "578.8x (Verified)" }, - { "label": "Code Compression", "value": "80.2%" } + { + "label": "Knowledge (.tri)", + "value": "20,645 files" + }, + { + "label": "Efficiency", + "value": "578.8x (Verified)" + }, + { + "label": "Code Compression", + "value": "80.2%" + } ], "metrics": [ - { "value": "20K+", "label": "TRI Files", "color": "green" }, - { "value": "578x", "label": "Energy Leap", "color": "blue" }, - { "value": "100×", "label": "SU(3) Boost", "color": "purple" }, - { "value": "27", "label": "CIS Letters", "color": "cyan" }, - { "value": "80.2%", "label": "Density Up", "color": "yellow" }, - { "value": "0.17%", "label": "Entropy", "color": "green" } + { + "value": "20K+", + "label": "TRI Files", + "color": "green" + }, + { + "value": "578x", + "label": "Energy Leap", + "color": "blue" + }, + { + "value": "100×", + "label": "SU(3) Boost", + "color": "purple" + }, + { + "value": "27", + "label": "CIS Letters", + "color": "cyan" + }, + { + "value": "80.2%", + "label": "Density Up", + "color": "yellow" + }, + { + "value": "0.17%", + "label": "Entropy", + "color": "green" + } ] }, "benchmarks": { @@ -263,30 +473,123 @@ "badge": "🔥 VERIFIED ON REAL GPUs", "note": "Real RunPod benchmarks - Pod IDs: bhhnrrdothqm54 (RTX 3090), ydk41ymp8uoeyp (A100). No simulation.", "gpus": [ - { "name": "RTX 3090", "tokens": "298K", "noise": "70.2%", "power": "348W", "cost": "$0.10", "podId": "bhhnrrdothqm54" }, - { "name": "A100 80GB", "tokens": "274K", "noise": "70.2%", "power": "293W", "cost": "$0.20", "podId": "ydk41ymp8uoeyp" } + { + "name": "RTX 3090", + "tokens": "298K", + "noise": "70.2%", + "power": "348W", + "cost": "$0.10", + "podId": "bhhnrrdothqm54" + }, + { + "name": "A100 80GB", + "tokens": "274K", + "noise": "70.2%", + "power": "293W", + "cost": "$0.20", + "podId": "ydk41ymp8uoeyp" + } ] }, "metrics": [ - { "value": "298K", "label": "Tokens/sec (RTX 3090)", "desc": "Verified on RunPod GPU", "theorem": "GPU" }, - { "value": "20×", "label": "Memory Compression", "desc": "Theorem 3: 32-bit → 1.58-bit", "theorem": "3" }, - { "value": "70%", "label": "Noise Robustness", "desc": "Accuracy at 30% trit corruption", "theorem": "1" }, - { "value": "3000×", "label": "Energy Efficiency", "desc": "Projected on custom FPGA", "theorem": "2" } + { + "value": "298K", + "label": "Tokens/sec (RTX 3090)", + "desc": "Verified on RunPod GPU", + "theorem": "GPU" + }, + { + "value": "20×", + "label": "Memory Compression", + "desc": "Theorem 3: 32-bit → 1.58-bit", + "theorem": "3" + }, + { + "value": "70%", + "label": "Noise Robustness", + "desc": "Accuracy at 30% trit corruption", + "theorem": "1" + }, + { + "value": "3000×", + "label": "Energy Efficiency", + "desc": "Projected on custom FPGA", + "theorem": "2" + } ], "comparison": { - "headers": ["Platform", "Memory", "Speed", "Accuracy", "Energy", "Theorem Basis"], + "headers": [ + "Platform", + "Memory", + "Speed", + "Accuracy", + "Energy", + "Theorem Basis" + ], "rows": [ - { "model": "TRINITY SU(3)", "value": 71, "color": "#00e599" }, - { "model": "BitNet b1.58 (Microsoft)", "value": 15, "color": "#888" }, - { "model": "Groq LPU", "value": 8, "color": "#666" }, - { "model": "NVIDIA H100", "value": 4, "color": "#555" }, - { "model": "OpenAI GPT-4", "value": 1, "color": "#444" } + { + "model": "TRINITY SU(3)", + "value": 71, + "color": "#00e599" + }, + { + "model": "BitNet b1.58 (Microsoft)", + "value": 15, + "color": "#888" + }, + { + "model": "Groq LPU", + "value": 8, + "color": "#666" + }, + { + "model": "NVIDIA H100", + "value": 4, + "color": "#555" + }, + { + "model": "OpenAI GPT-4", + "value": 1, + "color": "#444" + } ], "table": [ - { "platform": "TRINITY", "memory": "20× ✓", "speed": "10× *", "accuracy": "100% ✓", "energy": "3000× *", "theorem": "1-4", "highlight": true }, - { "platform": "OpenAI GPT-4", "memory": "1×", "speed": "1×", "accuracy": "100%", "energy": "1×", "theorem": "—", "highlight": false }, - { "platform": "Groq LPU", "memory": "4×", "speed": "2×", "accuracy": "99%", "energy": "100×", "theorem": "—", "highlight": false }, - { "platform": "BitNet b1.58", "memory": "15×", "speed": "5×", "accuracy": "100%", "energy": "500×", "theorem": "3 only", "highlight": false } + { + "platform": "TRINITY", + "memory": "20× ✓", + "speed": "10× *", + "accuracy": "100% ✓", + "energy": "3000× *", + "theorem": "1-4", + "highlight": true + }, + { + "platform": "OpenAI GPT-4", + "memory": "1×", + "speed": "1×", + "accuracy": "100%", + "energy": "1×", + "theorem": "—", + "highlight": false + }, + { + "platform": "Groq LPU", + "memory": "4×", + "speed": "2×", + "accuracy": "99%", + "energy": "100×", + "theorem": "—", + "highlight": false + }, + { + "platform": "BitNet b1.58", + "memory": "15×", + "speed": "5×", + "accuracy": "100%", + "energy": "500×", + "theorem": "3 only", + "highlight": false + } ] }, "verifyLink": "Verify Benchmarks on GitHub ↗", @@ -295,7 +598,11 @@ "mining": { "title": "Mining Industry 2026", "sub": "Bitcoin Bottlenecks and their Trinity SU(3) Solutions", - "headers": ["Barrier", "Impact", "Trinity Solution"], + "headers": [ + "Barrier", + "Impact", + "Trinity Solution" + ], "rows": [ { "barrier": "Electricity", @@ -326,43 +633,126 @@ "market": { "title": "Market $200B", "funnel": [ - { "value": "$200B", "label": "TAM — AI Accelerators" }, - { "value": "$80B", "label": "SAM — AI Inference" }, - { "value": "$8B", "label": "SOM — Ternary (10%)" } + { + "value": "$200B", + "label": "TAM — AI Accelerators" + }, + { + "value": "$80B", + "label": "SAM — AI Inference" + }, + { + "value": "$8B", + "label": "SOM — Ternary (10%)" + } ], "compsTitle": "Comparable Valuations", - "headers": ["Company", "Valuation", "Revenue", "Multiple"], + "headers": [ + "Company", + "Valuation", + "Revenue", + "Multiple" + ], "rows": [ - ["Cerebras", "$4.0B", "$100M", "40×"], - ["Groq", "$2.8B", "$50M", "56×"], - ["SambaNova", "$5.0B", "$150M", "33×"], - ["TRINITY", "$300M", "Pre-rev", "Seed"] + [ + "Cerebras", + "$4.0B", + "$100M", + "40×" + ], + [ + "Groq", + "$2.8B", + "$50M", + "56×" + ], + [ + "SambaNova", + "$5.0B", + "$150M", + "33×" + ], + [ + "TRINITY", + "$300M", + "Pre-rev", + "Seed" + ] ] }, "gtm": { "title": "Go-to-Market", "phases": [ - { "phase": "Phase 1", "title": "Research Labs", "desc": "Universities, AI labs • Free pilots • Case studies" }, - { "phase": "Phase 2", "title": "AI Startups", "desc": "Inference savings • FPGA cards • $10K-50K deals" }, - { "phase": "Phase 3", "title": "Enterprise", "desc": "Cloud providers • ASIC licensing • $1M+ deals" } + { + "phase": "Phase 1", + "title": "Research Labs", + "desc": "Universities, AI labs • Free pilots • Case studies" + }, + { + "phase": "Phase 2", + "title": "AI Startups", + "desc": "Inference savings • FPGA cards • $10K-50K deals" + }, + { + "phase": "Phase 3", + "title": "Enterprise", + "desc": "Cloud providers • ASIC licensing • $1M+ deals" + } ] }, "timeline": { "title": "Technology Timeline", "items": [ - { "year": "2023", "title": "BitNet", "desc": "(Microsoft)", "type": "past" }, - { "year": "2024", "title": "BitNet b1.58", "desc": "validated", "type": "past" }, - { "year": "2025", "title": "FPGA", "desc": "prototypes", "type": "past" }, - { "year": "2026", "title": "Phase 5.0", "desc": "Singularity", "type": "future" }, - { "year": "2027", "title": "Market", "desc": "Dominance", "type": "future" } + { + "year": "2023", + "title": "BitNet", + "desc": "(Microsoft)", + "type": "past" + }, + { + "year": "2024", + "title": "BitNet b1.58", + "desc": "validated", + "type": "past" + }, + { + "year": "2025", + "title": "FPGA", + "desc": "prototypes", + "type": "past" + }, + { + "year": "2026", + "title": "Phase 5.0", + "desc": "Singularity", + "type": "future" + }, + { + "year": "2027", + "title": "Market", + "desc": "Dominance", + "type": "future" + } ] }, "roadmap": { "title": "Roadmap", "milestones": [ - { "date": "Q1 2026", "title": "FPGA Prototype V5", "desc": "Verilog Core (16.16 Fixed Point) on Kintex-7" }, - { "date": "Q3 2026", "title": "Developer SDK", "desc": "E-Graph Optimizer & Coptic-Zig Compiler" }, - { "date": "Q1 2027", "title": "ASIC Tape-out", "desc": "First native SU(3) chip (TSMC 180nm)" } + { + "date": "Q1 2026", + "title": "FPGA Prototype V5", + "desc": "Verilog Core (16.16 Fixed Point) on Kintex-7" + }, + { + "date": "Q3 2026", + "title": "Developer SDK", + "desc": "E-Graph Optimizer & Coptic-Zig Compiler" + }, + { + "date": "Q1 2027", + "title": "ASIC Tape-out", + "desc": "First native SU(3) chip (TSMC 180nm)" + } ] }, "techTree": { @@ -399,75 +789,299 @@ "distributed": "DISTRIBUTED" }, "nodes": { - "core-001": { "name": "Parser v2", "description": "Advanced VIBEE specification parser with multi-language support", "metrics": "42 languages" }, - "core-002": { "name": "Multi-Lang Codegen", "description": "Code generation for Zig, Python, Rust, Verilog and 38 more", "metrics": "42 targets" }, - "core-003": { "name": "Bytecode VM", "description": "Stack-based ternary virtual machine with 256 opcodes", "metrics": "256 opcodes" }, - "core-004": { "name": "JIT Compilation", "description": "Just-in-time compilation for native performance", "metrics": "+1000% speed" }, - "core-005": { "name": "Binary Optimization", "description": "Advanced dead-code elimination and register allocation", "metrics": "-30% size" }, - "inf-001": { "name": "GGUF Parser", "description": "Parse GGUF model files with quantization metadata", "metrics": "All quants" }, - "inf-002": { "name": "Transformer", "description": "Full transformer architecture with attention layers", "metrics": "32 layers" }, - "inf-003": { "name": "KV Cache", "description": "Key-Value cache for efficient autoregressive generation", "metrics": "16x speedup" }, - "inf-004": { "name": "Batch Processing", "description": "Parallel batch inference for multiple sequences", "metrics": "8x throughput" }, - "inf-005": { "name": "FlashAttention", "description": "IO-aware attention mechanism for long sequences", "metrics": "128K context" }, - "opt-t01": { "name": "Ternary Quantization", "description": "BitNet b1.58 ternary weight quantization {-1, 0, +1}", "metrics": "20x compression" }, - "opt-t02": { "name": "Ternary MatMul", "description": "Optimized matrix multiplication for ternary weights", "metrics": "10x speedup" }, - "opt-t03": { "name": "Ternary KV Cache", "description": "Compressed KV cache using ternary representation", "metrics": "16x memory" }, - "opt-pc01": { "name": "Prefix Caching", "description": "Reuse computed prefixes across requests", "metrics": "90% hit rate" }, - "opt-cp01": { "name": "Chunked Prefill", "description": "Split long prompt processing into manageable chunks", "metrics": "-50% TTFT" }, - "opt-s02": { "name": "Enhanced Speculative", "description": "Parallel speculative verification with tree-search", "metrics": "4x generation" }, - "dep-001": { "name": "Docker", "description": "Containerized deployment with optimized images", "metrics": "< 500MB" }, - "dep-002": { "name": "Fly.io", "description": "Edge deployment on Fly.io infrastructure", "metrics": "34 regions" }, - "dep-003": { "name": "Auto-Scaling", "description": "Automatic scaling based on request load", "metrics": "0→100 pods" }, - "dep-004": { "name": "Multi-Region", "description": "Global deployment with region-aware routing", "metrics": "< 50ms latency" }, - "dep-005": { "name": "Zero-Downtime", "description": "Blue-green and canary deployment strategies", "metrics": "99.99% SLA" }, - "hw-001": { "name": "CUDA Backend", "description": "Native CUDA kernels for NVIDIA GPUs", "metrics": "+100x speed" }, - "hw-002": { "name": "Metal Backend", "description": "Apple Metal shaders for M-series chips", "metrics": "+80x speed" }, - "hw-003": { "name": "FPGA Synthesis", "description": "Verilog generation for FPGA deployment", "metrics": "1000x efficiency" }, - "hw-004": { "name": "ASIC Design", "description": "Custom ternary chip design for maximum efficiency", "metrics": "10000x efficiency" }, - "hw-005": { "name": "Quantum Circuit", "description": "Experimental quantum gates for ternary logic", "metrics": "Ternary Qubits" }, - "agent-001": { "name": "IGLA Core", "description": "Instruction-based Generative Learning Architecture", "metrics": "v1.0 stable" }, - "agent-002": { "name": "Tool Use Engine", "description": "Local function calling and tool integration", "metrics": "50+ tools" }, - "agent-003": { "name": "Long Context", "description": "Unlimited history with adaptive context windows", "metrics": "∞ tokens" }, - "agent-004": { "name": "Multi-Agent", "description": "Coordinator + Specialist agent orchestration", "metrics": "8 specialists" }, - "agent-005": { "name": "Swarm Intelligence", "description": "Decentralized emergent agent behavior", "metrics": "1K+ agents" }, - "know-001": { "name": "VSA Core", "description": "Vector Symbolic Architecture with bind/bundle ops", "metrics": "10K dims" }, - "know-002": { "name": "Knowledge Graph", "description": "Triple-based semantic networks with VSA encoding", "metrics": "1M triples" }, - "know-003": { "name": "Semantic Search", "description": "Cosine similarity search over hypervectors", "metrics": "<1ms query" }, - "know-004": { "name": "RAG Engine", "description": "Retrieval Augmented Generation with VSA", "metrics": "95% accuracy" }, - "know-005": { "name": "Ontology Learner", "description": "Automatic discovery of semantic relationships", "metrics": "Zero-shot" }, - "dist-001": { "name": "Node Network", "description": "Decentralized node discovery and routing", "metrics": "1000+ nodes" }, - "dist-002": { "name": "TVC Sharding", "description": "Ternary Vector Computing distributed shards", "metrics": "256 shards" }, - "dist-003": { "name": "DePIN Network", "description": "Decentralized Physical Infrastructure with TRI rewards", "metrics": "$TRI mining" }, - "dist-004": { "name": "Global Consensus", "description": "Byzantine fault-tolerant consensus for ternary state", "metrics": "10K TPS" }, - "dist-005": { "name": "Holy Chain", "description": "Golden chain of ternary events with immutable proof", "metrics": "Zero-knowledge" } + "core-001": { + "name": "Parser v2", + "description": "Advanced VIBEE specification parser with multi-language support", + "metrics": "42 languages" + }, + "core-002": { + "name": "Multi-Lang Codegen", + "description": "Code generation for Zig, Python, Rust, Verilog and 38 more", + "metrics": "42 targets" + }, + "core-003": { + "name": "Bytecode VM", + "description": "Stack-based ternary virtual machine with 256 opcodes", + "metrics": "256 opcodes" + }, + "core-004": { + "name": "JIT Compilation", + "description": "Just-in-time compilation for native performance", + "metrics": "+1000% speed" + }, + "core-005": { + "name": "Binary Optimization", + "description": "Advanced dead-code elimination and register allocation", + "metrics": "-30% size" + }, + "inf-001": { + "name": "GGUF Parser", + "description": "Parse GGUF model files with quantization metadata", + "metrics": "All quants" + }, + "inf-002": { + "name": "Transformer", + "description": "Full transformer architecture with attention layers", + "metrics": "32 layers" + }, + "inf-003": { + "name": "KV Cache", + "description": "Key-Value cache for efficient autoregressive generation", + "metrics": "16x speedup" + }, + "inf-004": { + "name": "Batch Processing", + "description": "Parallel batch inference for multiple sequences", + "metrics": "8x throughput" + }, + "inf-005": { + "name": "FlashAttention", + "description": "IO-aware attention mechanism for long sequences", + "metrics": "128K context" + }, + "opt-t01": { + "name": "Ternary Quantization", + "description": "BitNet b1.58 ternary weight quantization {-1, 0, +1}", + "metrics": "20x compression" + }, + "opt-t02": { + "name": "Ternary MatMul", + "description": "Optimized matrix multiplication for ternary weights", + "metrics": "10x speedup" + }, + "opt-t03": { + "name": "Ternary KV Cache", + "description": "Compressed KV cache using ternary representation", + "metrics": "16x memory" + }, + "opt-pc01": { + "name": "Prefix Caching", + "description": "Reuse computed prefixes across requests", + "metrics": "90% hit rate" + }, + "opt-cp01": { + "name": "Chunked Prefill", + "description": "Split long prompt processing into manageable chunks", + "metrics": "-50% TTFT" + }, + "opt-s02": { + "name": "Enhanced Speculative", + "description": "Parallel speculative verification with tree-search", + "metrics": "4x generation" + }, + "dep-001": { + "name": "Docker", + "description": "Containerized deployment with optimized images", + "metrics": "< 500MB" + }, + "dep-002": { + "name": "Fly.io", + "description": "Edge deployment on Fly.io infrastructure", + "metrics": "34 regions" + }, + "dep-003": { + "name": "Auto-Scaling", + "description": "Automatic scaling based on request load", + "metrics": "0→100 pods" + }, + "dep-004": { + "name": "Multi-Region", + "description": "Global deployment with region-aware routing", + "metrics": "< 50ms latency" + }, + "dep-005": { + "name": "Zero-Downtime", + "description": "Blue-green and canary deployment strategies", + "metrics": "99.99% SLA" + }, + "hw-001": { + "name": "CUDA Backend", + "description": "Native CUDA kernels for NVIDIA GPUs", + "metrics": "+100x speed" + }, + "hw-002": { + "name": "Metal Backend", + "description": "Apple Metal shaders for M-series chips", + "metrics": "+80x speed" + }, + "hw-003": { + "name": "FPGA Synthesis", + "description": "Verilog generation for FPGA deployment", + "metrics": "1000x efficiency" + }, + "hw-004": { + "name": "ASIC Design", + "description": "Custom ternary chip design for maximum efficiency", + "metrics": "10000x efficiency" + }, + "hw-005": { + "name": "Quantum Circuit", + "description": "Experimental quantum gates for ternary logic", + "metrics": "Ternary Qubits" + }, + "agent-001": { + "name": "IGLA Core", + "description": "Instruction-based Generative Learning Architecture", + "metrics": "v1.0 stable" + }, + "agent-002": { + "name": "Tool Use Engine", + "description": "Local function calling and tool integration", + "metrics": "50+ tools" + }, + "agent-003": { + "name": "Long Context", + "description": "Unlimited history with adaptive context windows", + "metrics": "∞ tokens" + }, + "agent-004": { + "name": "Multi-Agent", + "description": "Coordinator + Specialist agent orchestration", + "metrics": "8 specialists" + }, + "agent-005": { + "name": "Swarm Intelligence", + "description": "Decentralized emergent agent behavior", + "metrics": "1K+ agents" + }, + "know-001": { + "name": "VSA Core", + "description": "Vector Symbolic Architecture with bind/bundle ops", + "metrics": "10K dims" + }, + "know-002": { + "name": "Knowledge Graph", + "description": "Triple-based semantic networks with VSA encoding", + "metrics": "1M triples" + }, + "know-003": { + "name": "Semantic Search", + "description": "Cosine similarity search over hypervectors", + "metrics": "<1ms query" + }, + "know-004": { + "name": "RAG Engine", + "description": "Retrieval Augmented Generation with VSA", + "metrics": "95% accuracy" + }, + "know-005": { + "name": "Ontology Learner", + "description": "Automatic discovery of semantic relationships", + "metrics": "Zero-shot" + }, + "dist-001": { + "name": "Node Network", + "description": "Decentralized node discovery and routing", + "metrics": "1000+ nodes" + }, + "dist-002": { + "name": "TVC Sharding", + "description": "Ternary Vector Computing distributed shards", + "metrics": "256 shards" + }, + "dist-003": { + "name": "DePIN Network", + "description": "Decentralized Physical Infrastructure with TRI rewards", + "metrics": "$TRI mining" + }, + "dist-004": { + "name": "Global Consensus", + "description": "Byzantine fault-tolerant consensus for ternary state", + "metrics": "10K TPS" + }, + "dist-005": { + "name": "Holy Chain", + "description": "Golden chain of ternary events with immutable proof", + "metrics": "Zero-knowledge" + } } }, "product": { "title": "Product Roadmap", "phases": [ - { "phase": "TRINITY-V5", "year": "2025-2026", "desc": "FPGA-based ternary accelerator • Native .TRI execution • Target: AI inference" }, - { "phase": "TRINITY-1 ASIC", "year": "2027", "desc": "First native ternary chip • 180nm process (low risk) • Target: Edge AI devices" }, - { "phase": "TRINITY-X", "year": "2029", "desc": "Advanced node (28nm) • Full SoC with ternary CPU • Target: Data center scale" } + { + "phase": "TRINITY-V5", + "year": "2025-2026", + "desc": "FPGA-based ternary accelerator • Native .TRI execution • Target: AI inference" + }, + { + "phase": "TRINITY-1 ASIC", + "year": "2027", + "desc": "First native ternary chip • 180nm process (low risk) • Target: Edge AI devices" + }, + { + "phase": "TRINITY-X", + "year": "2029", + "desc": "Advanced node (28nm) • Full SoC with ternary CPU • Target: Data center scale" + } ] }, "financials": { "title": "Path to $10B+", - "headers": ["Year", "Revenue", "Gross Margin", "Valuation", "Headcount"], + "headers": [ + "Year", + "Revenue", + "Gross Margin", + "Valuation", + "Headcount" + ], "rows": [ - ["2026", "$2M", "50%", "$300M", "15"], - ["2027", "$15M", "55%", "$500M", "50"], - ["2028", "$80M", "60%", "$2B", "150"], - ["2029", "$300M", "65%", "$5B", "400"], - ["2030", "$1B", "70%", "$10B+", "1,000"] + [ + "2026", + "$2M", + "50%", + "$300M", + "15" + ], + [ + "2027", + "$15M", + "55%", + "$500M", + "50" + ], + [ + "2028", + "$80M", + "60%", + "$2B", + "150" + ], + [ + "2029", + "$300M", + "65%", + "$5B", + "400" + ], + [ + "2030", + "$1B", + "70%", + "$10B+", + "1,000" + ] ], "note": "Revenue multiple comparable to Cerebras (40×), Groq (56×), SambaNova (33×)" }, "businessModel": { "title": "Business Model", "streams": [ - { "percent": "60%", "title": "Hardware Sales", "desc": "TRINITY-FPGA: $15K ASP, 55% margin • TRINITY-ASIC: $3K ASP, 65% margin" }, - { "percent": "30%", "title": "IP Licensing", "desc": "License ternary IP to chip makers • $2-5 royalty per chip • 90%+ margin" }, - { "percent": "10%", "title": "Software & Services", "desc": "TRINITY SDK: $100K/year enterprise • Integration services • 80% margin" } + { + "percent": "60%", + "title": "Hardware Sales", + "desc": "TRINITY-FPGA: $15K ASP, 55% margin • TRINITY-ASIC: $3K ASP, 65% margin" + }, + { + "percent": "30%", + "title": "IP Licensing", + "desc": "License ternary IP to chip makers • $2-5 royalty per chip • 90%+ margin" + }, + { + "percent": "10%", + "title": "Software & Services", + "desc": "TRINITY SDK: $100K/year enterprise • Integration services • 80% margin" + } ], "unitEcon": "LTV/CAC: 15× | Target Year 1: 1,000 units = $7.5M revenue" }, @@ -499,15 +1113,21 @@ "achievementsTitle": "Key achievements (on hardware, 2026)", "achievements": [ "On-FPGA neural training — verified primitives that train themselves on-chip: 100% held-out accuracy, with the whole spec → silicon path bit-exact.", - "GF16 4×4 matmul — 323 MHz, 41.2 GOPS, 0 DSP48, 0 latches on a Xilinx Artix-7, with clean timing sign-off.", + "GF16 4×4 matmul — maps into Xilinx Artix-7 fabric with 0 DSP48 and 0 latches: 32,252 LUTs, or 21,223 with the hard multipliers allowed.", "Silicon confirmed — TinyTapeout SKY130 ASIC: GDS, gate-level test, and precheck all passing.", "Per-node bit-exact verification — every RTL node checked against an independent Python golden model (iverilog + KAT vectors), catching spec/RTL divergence before synthesis.", "tri-net — a full ternary network stack (133 .t27 specs): GF16 PHY, a BPSK modem over AD9361, mesh routing, and AEAD crypto — proven device-to-device over the air." ], "publicationsTitle": "Publications", "publications": [ - { "title": "GoldenFloat: A φ-Derived Floating-Point Family (GF4→GF1024) — arXiv:2606.05017", "url": "https://arxiv.org/abs/2606.05017" }, - { "title": "An 83-Format Numeric Catalog with Bit-Exact Conformance Vectors: FP8, BF16, MXFP4 — arXiv:2606.09686", "url": "https://arxiv.org/abs/2606.09686" } + { + "title": "GoldenFloat: A φ-Derived Floating-Point Family (GF4→GF1024) — arXiv:2606.05017", + "url": "https://arxiv.org/abs/2606.05017" + }, + { + "title": "An 83-Format Numeric Catalog with Bit-Exact Conformance Vectors: FP8, BF16, MXFP4 — arXiv:2606.09686", + "url": "https://arxiv.org/abs/2606.09686" + } ], "links": { "linkedin": "LinkedIn", @@ -522,30 +1142,102 @@ "quote": "«ⲁⲃⲅ» is not text. It is a configuration of qutrits. We removed the final barrier between thought and action.", "formula": "Parametric Formula: V = n × 3^k × π^m × φ^p × e^q", "items": [ - { "title": "Coptic Compiler", "desc": "TNC V1.0 • Direct Triad generation from alphabet" }, - { "title": "Native Knowledge", "desc": "20,645 .tri files • Native knowledge base" }, - { "title": "SU(3) Runtime", "desc": "Unitary execution with zero binary overhead" }, - { "title": "PAS Daemons", "desc": "Energy harvesting from data stream entropy" }, - { "title": "Chern Lock", "desc": "Hardware protection against injection & noise" }, - { "title": "Trinity CIS", "desc": "27 instructions = $3^3$ symmetry" } + { + "title": "Coptic Compiler", + "desc": "TNC V1.0 • Direct Triad generation from alphabet" + }, + { + "title": "Native Knowledge", + "desc": "20,645 .tri files • Native knowledge base" + }, + { + "title": "SU(3) Runtime", + "desc": "Unitary execution with zero binary overhead" + }, + { + "title": "PAS Daemons", + "desc": "Energy harvesting from data stream entropy" + }, + { + "title": "Chern Lock", + "desc": "Hardware protection against injection & noise" + }, + { + "title": "Trinity CIS", + "desc": "27 instructions = $3^3$ symmetry" + } ] }, "competition": { "title": "GPU Benchmark Comparison", - "headers": ["Platform", "Hardware", "Tokens/s", "Ternary", "Energy"], + "headers": [ + "Platform", + "Hardware", + "Tokens/s", + "Ternary", + "Energy" + ], "rows": [ - { "company": "TRINITY", "arch": "RTX 3090 (verified)", "val": "298K", "ternary": true, "open": true }, - { "company": "TRINITY", "arch": "A100 80GB (verified)", "val": "274K", "ternary": true, "open": true }, - { "company": "Groq", "arch": "LPU (binary)", "val": "276-840", "ternary": false, "open": false }, - { "company": "NVIDIA", "arch": "H100 TensorRT", "val": "1000-2000", "ternary": false, "open": false }, - { "company": "Local GPU", "arch": "RTX 4090 (binary)", "val": "100-300", "ternary": false, "open": false }, - { "company": "OpenAI", "arch": "Cloud API", "val": "50-100", "ternary": false, "open": false } + { + "company": "TRINITY", + "arch": "RTX 3090 (verified)", + "val": "298K", + "ternary": true, + "open": true + }, + { + "company": "TRINITY", + "arch": "A100 80GB (verified)", + "val": "274K", + "ternary": true, + "open": true + }, + { + "company": "Groq", + "arch": "LPU (binary)", + "val": "276-840", + "ternary": false, + "open": false + }, + { + "company": "NVIDIA", + "arch": "H100 TensorRT", + "val": "1000-2000", + "ternary": false, + "open": false + }, + { + "company": "Local GPU", + "arch": "RTX 4090 (binary)", + "val": "100-300", + "ternary": false, + "open": false + }, + { + "company": "OpenAI", + "arch": "Cloud API", + "val": "50-100", + "ternary": false, + "open": false + } ], "note": "TRINITY verified on real RunPod GPUs (Pod IDs: bhhnrrdothqm54, ydk41ymp8uoeyp). Ternary = no multiply ops, 20x compression, 70% noise robustness at 30% corruption.", "gpuProof": { "title": "Real GPU Verification", - "rtx3090": { "podId": "bhhnrrdothqm54", "tokens": "298,052", "noise": "70.2%", "power": "348W", "cost": "$0.10" }, - "a100": { "podId": "ydk41ymp8uoeyp", "tokens": "274,043", "noise": "70.2%", "power": "293W", "cost": "$0.20" } + "rtx3090": { + "podId": "bhhnrrdothqm54", + "tokens": "298,052", + "noise": "70.2%", + "power": "348W", + "cost": "$0.10" + }, + "a100": { + "podId": "ydk41ymp8uoeyp", + "tokens": "274,043", + "noise": "70.2%", + "power": "293W", + "cost": "$0.20" + } } }, "hlsCompetition": { @@ -555,19 +1247,71 @@ "marketGrowth": "FPGA Market 2030 (CAGR 10.8%)", "problemTitle": "The $50K Problem", "problemDesc": "Today, to compile code to FPGA hardware, companies pay $3,000-$50,000/year for tools that only support C/C++. Developers must rewrite everything. We eliminate this barrier.", - "headers": ["Solution", "Languages", "Price/Year", "Vendor Lock", "Open Source"], + "headers": [ + "Solution", + "Languages", + "Price/Year", + "Vendor Lock", + "Open Source" + ], "rows": [ - { "company": "AMD Vitis HLS", "langs": "C/C++ only", "price": "$3K-$10K", "lock": true, "open": false }, - { "company": "Intel Quartus HLS", "langs": "C/C++, OpenCL", "price": "$2.5K-$8K", "lock": true, "open": false }, - { "company": "Siemens Catapult", "langs": "C/C++/SystemC", "price": "$50K+", "lock": false, "open": false }, - { "company": "LegUp (Academic)", "langs": "C only", "price": "Free", "lock": false, "open": true }, - { "company": "VIBEE", "langs": "33+ Languages", "price": "FREE", "lock": false, "open": true } + { + "company": "AMD Vitis HLS", + "langs": "C/C++ only", + "price": "$3K-$10K", + "lock": true, + "open": false + }, + { + "company": "Intel Quartus HLS", + "langs": "C/C++, OpenCL", + "price": "$2.5K-$8K", + "lock": true, + "open": false + }, + { + "company": "Siemens Catapult", + "langs": "C/C++/SystemC", + "price": "$50K+", + "lock": false, + "open": false + }, + { + "company": "LegUp (Academic)", + "langs": "C only", + "price": "Free", + "lock": false, + "open": true + }, + { + "company": "VIBEE", + "langs": "33+ Languages", + "price": "FREE", + "lock": false, + "open": true + } ], "advantages": [ - { "icon": "🐍", "title": "Write Python, Deploy Hardware", "desc": "Your Python/JS/Rust code compiles directly to FPGA. No C++ rewrite needed." }, - { "icon": "💰", "title": "$0 vs $50,000/year", "desc": "Enterprise HLS tools cost $50K+. VIBEE is free and open source forever." }, - { "icon": "🔓", "title": "No Vendor Lock-in", "desc": "Same code works on AMD, Intel, Lattice FPGAs. Switch vendors anytime." }, - { "icon": "⚡", "title": "10-100x Faster Development", "desc": "Skip the C++ rewrite. Go from idea to hardware in hours, not months." } + { + "icon": "🐍", + "title": "Write Python, Deploy Hardware", + "desc": "Your Python/JS/Rust code compiles directly to FPGA. No C++ rewrite needed." + }, + { + "icon": "💰", + "title": "$0 vs $50,000/year", + "desc": "Enterprise HLS tools cost $50K+. VIBEE is free and open source forever." + }, + { + "icon": "🔓", + "title": "No Vendor Lock-in", + "desc": "Same code works on AMD, Intel, Lattice FPGAs. Switch vendors anytime." + }, + { + "icon": "⚡", + "title": "10-100x Faster Development", + "desc": "Skip the C++ rewrite. Go from idea to hardware in hours, not months." + } ], "whyItMatters": "Why This Matters", "whyItMattersDesc": "FPGAs are 10-100x more energy efficient than GPUs for AI inference. But adoption is blocked by expensive, C-only tools. VIBEE removes this barrier — opening a $23B market to every developer.", @@ -577,10 +1321,30 @@ "title": "Fundamental Proofs", "sub": "Trinity V5.0 is built on immutable laws across 8 sciences.", "items": [ - { "icon": "📐", "value": "Exact 3", "label": "Golden Identity", "desc": "φ² + 1/φ² = 3.0000. Exact link between Nature and Trinity logic." }, - { "icon": "🧬", "value": "1.58", "label": "Information Density", "desc": "log₂(3) bits per trit. 58% higher density than binary systems." }, - { "icon": "🌌", "value": "13.82", "label": "Universe Age", "desc": "π × φ × e = 13.82 Gyr. Matches Planck 2020 age of the universe." }, - { "icon": "⚛️", "value": "137.03", "label": "Fine Structure", "desc": "1/α = 4π³ + π² + π. Geometry of the physical world defined by π." } + { + "icon": "📐", + "value": "Exact 3", + "label": "Golden Identity", + "desc": "φ² + 1/φ² = 3.0000. Exact link between Nature and Trinity logic." + }, + { + "icon": "🧬", + "value": "1.58", + "label": "Information Density", + "desc": "log₂(3) bits per trit. 58% higher density than binary systems." + }, + { + "icon": "🌌", + "value": "13.82", + "label": "Universe Age", + "desc": "π × φ × e = 13.82 Gyr. Matches Planck 2020 age of the universe." + }, + { + "icon": "⚛️", + "value": "137.03", + "label": "Fine Structure", + "desc": "1/α = 4π³ + π² + π. Geometry of the physical world defined by π." + } ], "paperTitle": "Transcendental Proofs", "papers": [ @@ -596,20 +1360,44 @@ "title": "Technical Assets V5", "sub": "World's base of native ternary knowledge is already created.", "items": [ - { "value": "20,645", "label": ".tri Files", "desc": "Native Trinity knowledge base" }, - { "value": "50+", "label": "Safety Modules", "desc": "Advanced Alignment & Privacy Tiers" }, - { "value": "1.58", "label": "Bits / Trit", "desc": "Log2(3) Information Density" }, - { "value": "E-Graph", "label": "Optimizer", "desc": "Saturation benchmarks passed" }, - { "value": "SU(3)", "label": "Native Core", "desc": "Unitary Compute Engine" }, - { "value": "100x", "label": "Speedup", "desc": "Native operation acceleration" } + { + "value": "20,645", + "label": ".tri Files", + "desc": "Native Trinity knowledge base" + }, + { + "value": "50+", + "label": "Safety Modules", + "desc": "Advanced Alignment & Privacy Tiers" + }, + { + "value": "1.58", + "label": "Bits / Trit", + "desc": "Log2(3) Information Density" + }, + { + "value": "E-Graph", + "label": "Optimizer", + "desc": "Saturation benchmarks passed" + }, + { + "value": "SU(3)", + "label": "Native Core", + "desc": "Unitary Compute Engine" + }, + { + "value": "100x", + "label": "Speedup", + "desc": "Native operation acceleration" + } ] }, "calculatorLogic": { "title": "Calculator Logic", "sub": "Why build a supercomputer when a calculator is enough?", "comparison": [ - { - "title": "Complex Binary Compute", + { + "title": "Complex Binary Compute", "desc": "Requires billions of transistors, massive energy, and cooling to approximate answers.", "icon": "📉", "details": [ @@ -627,14 +1415,34 @@ "• Cost: $0.01-0.03 per 1K tokens" ], "examples": [ - { "op": "Matrix 1024×1024", "binary": "2.1B operations", "ternary": "890M operations", "savings": "58%" }, - { "op": "log₂(x) calculation", "binary": "Taylor series ~50 iterations", "ternary": "Native in 3 steps", "savings": "94%" }, - { "op": "FFT 4096 points", "binary": "49K multiplications", "ternary": "12K ternary ops", "savings": "75%" }, - { "op": "Neural inference", "binary": "FP32 → 4 bytes/weight", "ternary": "1.58 bits/weight", "savings": "95%" } + { + "op": "Matrix 1024×1024", + "binary": "2.1B operations", + "ternary": "890M operations", + "savings": "58%" + }, + { + "op": "log₂(x) calculation", + "binary": "Taylor series ~50 iterations", + "ternary": "Native in 3 steps", + "savings": "94%" + }, + { + "op": "FFT 4096 points", + "binary": "49K multiplications", + "ternary": "12K ternary ops", + "savings": "75%" + }, + { + "op": "Neural inference", + "binary": "FP32 → 4 bytes/weight", + "ternary": "1.58 bits/weight", + "savings": "95%" + } ] }, - { - "title": "Ternary Calculator", + { + "title": "Ternary Calculator", "desc": "Solves the same tasks using native math (φ² + 1/φ² = 3) with a fraction of the energy.", "icon": "✨", "details": [ @@ -664,16 +1472,30 @@ } ], "tableTitle": "Binary vs Ternary: Operation Comparison", - "tableHeaders": ["Operation", "Binary Approach", "Ternary Approach", "Energy Savings"], + "tableHeaders": [ + "Operation", + "Binary Approach", + "Ternary Approach", + "Energy Savings" + ], "quote": "\"We are trying to simulate intelligence with brute force, when the universe uses elegant math.\"" }, "technology": { "title": "Technology Architecture", "sub": "How TRINITY Works", "layers": [ - { "title": "SU(3) CORE", "desc": "Unitary ternary processor" }, - { "title": "PAS DAEMONS", "desc": "Information energy pump" }, - { "title": "TRI-MEMORY", "desc": "Native triad storage" } + { + "title": "SU(3) CORE", + "desc": "Unitary ternary processor" + }, + { + "title": "PAS DAEMONS", + "desc": "Information energy pump" + }, + { + "title": "TRI-MEMORY", + "desc": "Native triad storage" + } ], "softwareStack": "TRINITY NATIVE STACK (CIS V1.0)", "innovationsTitle": "Key Innovations", @@ -698,14 +1520,66 @@ "title": "18-Month Milestones", "sub": "Scaling the Singularity", "quarters": [ - { "q": "Q1 2026", "title": "Foundation", "items": ["CIS V1.0 Stack", "FPGA SU(3) Core", "Benchmark vs emulation"] }, - { "q": "Q2 2026", "title": "Validation", "items": ["Llama-3 on .TRI", "Demonstrate 100× speedup", "First beta customers"] }, - { "q": "Q3 2026", "title": "Product", "items": ["TRINITY-PCIe V5", "SDK and documentation", "5 paying customers"] }, - { "q": "Q4 2026", "title": "Scale", "items": ["$1M ARR", "ASIC design complete", "Series A fundraise"] }, - { "q": "Q1 2027", "title": "Tape-out", "items": ["TSMC 180nm ASIC", "Silicon validation", "Native wafer check"] }, - { "q": "Q2 2027", "title": "Expansion", "items": ["Tier-1 contracts", "Ternary CPU Core", "Edge dominance"] } + { + "q": "Q1 2026", + "title": "Foundation", + "items": [ + "CIS V1.0 Stack", + "FPGA SU(3) Core", + "Benchmark vs emulation" + ] + }, + { + "q": "Q2 2026", + "title": "Validation", + "items": [ + "Llama-3 on .TRI", + "Demonstrate 100× speedup", + "First beta customers" + ] + }, + { + "q": "Q3 2026", + "title": "Product", + "items": [ + "TRINITY-PCIe V5", + "SDK and documentation", + "5 paying customers" + ] + }, + { + "q": "Q4 2026", + "title": "Scale", + "items": [ + "$1M ARR", + "ASIC design complete", + "Series A fundraise" + ] + }, + { + "q": "Q1 2027", + "title": "Tape-out", + "items": [ + "TSMC 180nm ASIC", + "Silicon validation", + "Native wafer check" + ] + }, + { + "q": "Q2 2027", + "title": "Expansion", + "items": [ + "Tier-1 contracts", + "Ternary CPU Core", + "Edge dominance" + ] + } ], - "success": ["100×+ speedup demonstrated", "20k+ TRI files", "$1M+ pipeline"] + "success": [ + "100×+ speedup demonstrated", + "20k+ TRI files", + "$1M+ pipeline" + ] }, "vision": { "title": "Vision 2030", @@ -731,17 +1605,47 @@ "title": "Investment", "useTitle": "Scaling Singularity V5.0", "uses": [ - { "percent": "60%", "title": "Engineering", "desc": "SU(3) Core, PAS Daemons" }, - { "percent": "20%", "title": "Knowledge base", "desc": "Optimizing 20k+ .TRI files" }, - { "percent": "20%", "title": "Operations", "desc": "Singularity Marketing" } + { + "percent": "60%", + "title": "Engineering", + "desc": "SU(3) Core, PAS Daemons" + }, + { + "percent": "20%", + "title": "Knowledge base", + "desc": "Optimizing 20k+ .TRI files" + }, + { + "percent": "20%", + "title": "Operations", + "desc": "Singularity Marketing" + } ], "cards": [ - { "value": "$3M", "label": "for 1% equity" }, - { "value": "$300M", "label": "valuation" }, - { "value": "3²¹", "label": "Token Supply" }, - { "value": "99%", "label": "founder ownership" }, - { "value": "578×", "label": "energy efficiency" }, - { "value": "∞", "label": "potential" } + { + "value": "$3M", + "label": "for 1% equity" + }, + { + "value": "$300M", + "label": "valuation" + }, + { + "value": "3²¹", + "label": "Token Supply" + }, + { + "value": "99%", + "label": "founder ownership" + }, + { + "value": "578×", + "label": "energy efficiency" + }, + { + "value": "∞", + "label": "potential" + } ], "milestonesTitle": "18-Month Milestones:", "milestones": [ @@ -769,24 +1673,76 @@ "title": "Join the Community", "sub": "Proven by Math, Powered by Community", "channels": [ - { "name": "Discord", "url": "https://discord.gg/trinity", "desc": "Devs & Miners chat", "members": "5K+" }, - { "name": "Telegram", "url": "https://t.me/trinity_network", "desc": "Announcements", "members": "10K+" }, - { "name": "Twitter/X", "url": "https://x.com/trinity_ai", "desc": "Updates & News", "followers": "25K+" }, - { "name": "GitHub", "url": "https://github.com/gHashTag/trinity", "desc": "Open Source", "stars": "1K+" } + { + "name": "Discord", + "url": "https://discord.gg/trinity", + "desc": "Devs & Miners chat", + "members": "5K+" + }, + { + "name": "Telegram", + "url": "https://t.me/trinity_network", + "desc": "Announcements", + "members": "10K+" + }, + { + "name": "Twitter/X", + "url": "https://x.com/trinity_ai", + "desc": "Updates & News", + "followers": "25K+" + }, + { + "name": "GitHub", + "url": "https://github.com/gHashTag/trinity", + "desc": "Open Source", + "stars": "1K+" + } ], "cta": { - "node": { "text": "Run a Node", "desc": "Earn by Theorem 4 + 15.7x compression", "url": "/docs/node-setup" }, - "docs": { "text": "Read Docs", "desc": "Learn Theorems 1-3 + 100% robustness", "url": "/docs" }, - "buy": { "text": "Buy $TRI", "desc": "Invest in proven system + 8.1x speedup", "url": "/buy" }, - "discord": { "text": "Join Discord", "desc": "Connect with devs & miners", "url": "https://discord.gg/trinity" } + "node": { + "text": "Run a Node", + "desc": "Earn by Theorem 4 + 15.7x compression", + "url": "/docs/node-setup" + }, + "docs": { + "text": "Read Docs", + "desc": "Learn Theorems 1-3 + 100% robustness", + "url": "/docs" + }, + "buy": { + "text": "Buy $TRI", + "desc": "Invest in proven system + 8.1x speedup", + "url": "/buy" + }, + "discord": { + "text": "Join Discord", + "desc": "Connect with devs & miners", + "url": "https://discord.gg/trinity" + } }, "stats": { "title": "Community KPIs", "items": [ - { "value": "5K+", "label": "Discord Members", "target": "10K by Q2" }, - { "value": "2K+", "label": "Node Operators", "target": "5K by Q2" }, - { "value": "500+", "label": "$TRI Holders", "target": "10K by Q2" }, - { "value": "1K+", "label": "API Users", "target": "5K by Q2" } + { + "value": "5K+", + "label": "Discord Members", + "target": "10K by Q2" + }, + { + "value": "2K+", + "label": "Node Operators", + "target": "5K by Q2" + }, + { + "value": "500+", + "label": "$TRI Holders", + "target": "10K by Q2" + }, + { + "value": "1K+", + "label": "API Users", + "target": "5K by Q2" + } ] } }, @@ -805,12 +1761,36 @@ "title": "BitNet FPGA — Scientific Evidence", "sub": "Not marketing, but mathematics. Every number is backed by scientific papers.", "metrics": [ - { "value": "20×", "label": "Energy Efficiency vs GPU", "source": "Microsoft BitNet" }, - { "value": "10×", "label": "Memory Savings", "source": "1.58 bit vs 16 bit" }, - { "value": "4.4×", "label": "TCO Reduction (3 years)", "source": "$9.5K vs $42K" }, - { "value": "26×", "label": "tok/s/Watt vs A100", "source": "TerEffic Paper" }, - { "value": "79×", "label": "Efficiency vs Jetson", "source": "arXiv:2502.16473" }, - { "value": "145%", "label": "Year 1 ROI", "source": "4.9 month payback" } + { + "value": "20×", + "label": "Energy Efficiency vs GPU", + "source": "Microsoft BitNet" + }, + { + "value": "10×", + "label": "Memory Savings", + "source": "1.58 bit vs 16 bit" + }, + { + "value": "4.4×", + "label": "TCO Reduction (3 years)", + "source": "$9.5K vs $42K" + }, + { + "value": "26×", + "label": "tok/s/Watt vs A100", + "source": "TerEffic Paper" + }, + { + "value": "79×", + "label": "Efficiency vs Jetson", + "source": "arXiv:2502.16473" + }, + { + "value": "145%", + "label": "Year 1 ROI", + "source": "4.9 month payback" + } ], "mathTitle": "BitNet Mathematics", "mathCards": [ @@ -831,13 +1811,43 @@ } ], "comparisonTitle": "FPGA vs GPU for BitNet", - "comparisonHeaders": ["Metric", "GPU (H100)", "FPGA (Alveo U55C)", "Advantage"], + "comparisonHeaders": [ + "Metric", + "GPU (H100)", + "FPGA (Alveo U55C)", + "Advantage" + ], "comparisonRows": [ - ["Energy/token", "3 mJ", "0.15 mJ", "20×"], - ["Memory/model (7B)", "14 GB", "1.4 GB", "10×"], - ["TCO (3 years)", "$42,176", "$9,537", "4.4×"], - ["tok/s/Watt", "0.6", "15.8", "26×"], - ["Hardware cost", "$30,000", "$5,000", "6×"] + [ + "Energy/token", + "3 mJ", + "0.15 mJ", + "20×" + ], + [ + "Memory/model (7B)", + "14 GB", + "1.4 GB", + "10×" + ], + [ + "TCO (3 years)", + "$42,176", + "$9,537", + "4.4×" + ], + [ + "tok/s/Watt", + "0.6", + "15.8", + "26×" + ], + [ + "Hardware cost", + "$30,000", + "$5,000", + "6×" + ] ], "sourcesTitle": "Scientific Sources", "sources": [ @@ -860,9 +1870,18 @@ "roiTitle": "ROI Calculator", "roiDesc": "Investment $8,000 (Alveo U55C + Server) → $19,596/year revenue at $0.001/1K tokens", "roiMetrics": [ - { "label": "Payback", "value": "4.9 months" }, - { "label": "Year 1 ROI", "value": "145%" }, - { "label": "Year 3 ROI", "value": "635%" } + { + "label": "Payback", + "value": "4.9 months" + }, + { + "label": "Year 1 ROI", + "value": "145%" + }, + { + "label": "Year 3 ROI", + "value": "635%" + } ], "cta": "Read Full Report on GitHub", "ctaUrl": "https://github.com/gHashTag/trinity/blob/main/docs/BITNET_MATHEMATICAL_PROOF.md" @@ -904,36 +1923,97 @@ } ], "constants": [ - { "symbol": "φ", "value": "1.618033...", "name": "Golden Ratio" }, - { "symbol": "π", "value": "3.141592...", "name": "Pi" }, - { "symbol": "e", "value": "2.718281...", "name": "Euler's Number" }, - { "symbol": "3", "value": "φ² + 1/φ²", "name": "Trinity" } + { + "symbol": "φ", + "value": "1.618033...", + "name": "Golden Ratio" + }, + { + "symbol": "π", + "value": "3.141592...", + "name": "Pi" + }, + { + "symbol": "e", + "value": "2.718281...", + "name": "Euler's Number" + }, + { + "symbol": "3", + "value": "φ² + 1/φ²", + "name": "Trinity" + } ], "genetics": { "title": "Genetic Algorithm Constants", "items": [ - { "symbol": "μ", "formula": "1/φ²/10 = 0.0382", "name": "Mutation Rate" }, - { "symbol": "χ", "formula": "1/φ/10 = 0.0618", "name": "Crossover Rate" }, - { "symbol": "σ", "formula": "φ = 1.618", "name": "Selection Pressure" }, - { "symbol": "ε", "formula": "1/3 = 0.333", "name": "Elitism Rate" } + { + "symbol": "μ", + "formula": "1/φ²/10 = 0.0382", + "name": "Mutation Rate" + }, + { + "symbol": "χ", + "formula": "1/φ/10 = 0.0618", + "name": "Crossover Rate" + }, + { + "symbol": "σ", + "formula": "φ = 1.618", + "name": "Selection Pressure" + }, + { + "symbol": "ε", + "formula": "1/3 = 0.333", + "name": "Elitism Rate" + } ] }, "physics": { "title": "Physical Constants from π", "items": [ - { "name": "Fine Structure", "formula": "1/α = 4π³ + π² + π = 137.036" }, - { "name": "Proton/Electron Mass", "formula": "mₚ/mₑ = 6π⁵ = 1836.15" }, - { "name": "Bell Inequality", "formula": "CHSH = 2√2 ≈ 2.828 > 2" } + { + "name": "Fine Structure", + "formula": "1/α = 4π³ + π² + π = 137.036" + }, + { + "name": "Proton/Electron Mass", + "formula": "mₚ/mₑ = 6π⁵ = 1836.15" + }, + { + "name": "Bell Inequality", + "formula": "CHSH = 2√2 ≈ 2.828 > 2" + } ] }, "distribution": { "title": "Token Distribution", "items": [ - { "name": "Node Rewards", "percent": "40%", "amount": "4,184,141,281" }, - { "name": "Founder", "percent": "20%", "amount": "2,092,070,640" }, - { "name": "Treasury", "percent": "15%", "amount": "1,569,052,980" }, - { "name": "Public Sale", "percent": "15%", "amount": "1,569,052,980" }, - { "name": "Ecosystem", "percent": "10%", "amount": "1,046,035,320" } + { + "name": "Node Rewards", + "percent": "40%", + "amount": "4,184,141,281" + }, + { + "name": "Founder", + "percent": "20%", + "amount": "2,092,070,640" + }, + { + "name": "Treasury", + "percent": "15%", + "amount": "1,569,052,980" + }, + { + "name": "Public Sale", + "percent": "15%", + "amount": "1,569,052,980" + }, + { + "name": "Ecosystem", + "percent": "10%", + "amount": "1,046,035,320" + } ], "total": "TOTAL: 3²¹ = 10,460,353,203 $TRI" }, @@ -972,7 +2052,7 @@ "sacredFormula": { "title": "Sacred Formula Engine", "formula": "V = n × 3k × πm × φp × eq", - "description": "Integer Relation Detection: every physical constant as a point in the lattice spanned by {1, log(3), log(\u03c0), log(\u03c6)} over \u2124.", + "description": "Integer Relation Detection: every physical constant as a point in the lattice spanned by {1, log(3), log(π), log(φ)} over ℤ.", "inputPlaceholder": "Enter any positive number...", "decompose": "Decompose", "computing": "Computing...", @@ -981,7 +2061,7 @@ "close": "CLOSE", "approx": "APPROX", "predictionsTitle": "Sacred Extrapolations", - "predictionsDisclaimer": "NOT established physics \u2014 experimental mathematics only", + "predictionsDisclaimer": "NOT established physics — experimental mathematics only", "categories": { "all": "All", "particle_physics": "Particle Physics", @@ -990,62 +2070,68 @@ "quantum_gravity": "Quantum Gravity", "sacred_geometry": "Sacred Geometry" }, - "randomSacred": "\u2728 Random", + "randomSacred": "✨ Random", "geomInfoTitle": "Sacred Geometry Bridge v2.0", - "goldenSpiral": "Golden Spiral: r(\u03B8) = a \u00D7 \u03C6^(2\u03B8/\u03C0)", - "copticCube": "Coptic Cube: 27 = 3\u00B3 = 1 tryte", - "trinityIdentity": "\u03C6\u00B2 + 1/\u03C6\u00B2 = 3 = TRINITY", + "goldenSpiral": "Golden Spiral: r(θ) = a × φ^(2θ/π)", + "copticCube": "Coptic Cube: 27 = 3³ = 1 tryte", + "trinityIdentity": "φ² + 1/φ² = 3 = TRINITY", "copticMatter": "Matter (1-9)", "copticEnergy": "Energy (10-90)", "copticInfo": "Info (100-900)", - "copticSum": "\u03A3 = 4995", + "copticSum": "Σ = 4995", "cliHint": "Run 'tri geom sacred' for CLI version", - "modeTime": "\u231B Trinity Time", + "modeTime": "⌛ Trinity Time", "timeTriadTitle": "TEMPORAL TRINITY THEOREM v1.0", "timeCreation": "CREATION (future)", "timeDestruction": "ENTROPY (past)", "timeArrowTitle": "Time Arrow Asymmetry", - "timeArrowDesc": "Creation dominates destruction by 6.854\u00D7 \u2192 time flows forward", - "omegaTitle": "\u03A9 Predictions (from \u03C0)", + "timeArrowDesc": "Creation dominates destruction by 6.854× → time flows forward", + "omegaTitle": "Ω Predictions (from π)", "omegaParam": "Parameter", "omegaPredicted": "Predicted", "omegaExperiment": "Experiment", "omegaDarkMatter": "matter", "omegaDarkEnergy": "energy", "omegaAge": "Age", - "timeEngineStart": "\u23F5 Temporal Engine (\u03C6 = 1.618s)", - "timeEngineStop": "\u23F8 Stop Heartbeat", + "timeEngineStart": "⏵ Temporal Engine (φ = 1.618s)", + "timeEngineStop": "⏸ Stop Heartbeat", "timeShowVt": "Compute V(t)", - "timeCopticTitle": "27 = 3\u00B3 Coptic Temporal Cube", + "timeCopticTitle": "27 = 3³ Coptic Temporal Cube", "timePast": "Past", "timePresent": "Present", "timeFuture": "Future", - "timeDisclaimer": "Experimental mathematics \u2014 pattern exploration, not proven physics", - "chevrons": { "n": "n", "k": "3\u207a", "m": "\u03c0\u207a", "p": "\u03c6\u207a", "q": "e\u207a" }, + "timeDisclaimer": "Experimental mathematics — pattern exploration, not proven physics", + "chevrons": { + "n": "n", + "k": "3⁺", + "m": "π⁺", + "p": "φ⁺", + "q": "e⁺" + }, "error": "err", - "howItWorks": "Any number can be written as a simple formula from 4 constants of nature. For example, electron mass = 1 \u00d7 3\u207b\u2077 \u00d7 \u03c0\u00b9 \u00d7 \u03c6\u207b\u00b2 \u00d7 e\u00b3 with 0.003% accuracy. This isn't magic \u2014 it's an integer lattice. Enter your number and see its \"coordinates\" in this lattice.", - "tryIt": "Enter a number \u2192 get its formula", + "howItWorks": "Any number can be written as a simple formula from 4 constants of nature. For example, electron mass = 1 × 3⁻⁷ × π¹ × φ⁻² × e³ with 0.003% accuracy. This isn't magic — it's an integer lattice. Enter your number and see its \"coordinates\" in this lattice.", + "tryIt": "Enter a number → get its formula", "legendTitle": "How to read the Stargate:", - "legendN": "multiplier (integer 1\u20139)", + "legendN": "multiplier (integer 1–9)", "legendK": "ternary power (exponent of 3)", - "legendM": "geometry power (exponent of \u03c0)", - "legendP": "golden ratio power (exponent of \u03c6)", + "legendM": "geometry power (exponent of π)", + "legendP": "golden ratio power (exponent of φ)", "legendQ": "growth power (exponent of e)", - "legendExample": "Example: 13 \u2248 1 \u00d7 3\u207b\u00b9 \u00d7 \u03c0\u00b9 \u00d7 \u03c6\u207b\u00b9 \u00d7 e\u00b3", - "modeFormula": "Number \u2192 Formula", + "legendExample": "Example: 13 ≈ 1 × 3⁻¹ × π¹ × φ⁻¹ × e³", + "modeFormula": "Number → Formula", "modeGematria": "Gematria", "gematriaPlaceholder": "Number or Coptic text...", "gematriaDecompose": "Decode", "sacredFit": "Sacred fit", - "modeManual": "Parameters \u2192 Value", + "modeManual": "Parameters → Value", "compute": "Compute", "validationRequired": "Required", "validationInteger": "Must be integer", - "validationRange_n": "n: 1\u20139", - "validationRange_k": "k: -4\u20264", - "validationRange_m": "m: -3\u20260", - "validationRange_p": "p: -4\u20264", - "validationRange_q": "q: -3\u20263", + "validationRange_n": "n: 1–9", + "validationRange_k": "k: -4…4", + "validationRange_m": "m: -3…0", + "validationRange_p": "p: -4…4", + "validationRange_q": "q: -3…3", "validationPositive": "Enter a positive number" }, "sacredMathResearch": { @@ -1059,17 +2145,17 @@ "holographic": { "title": "Holographic Renderer v3.1", "subtitle": "Generated from: specs/tri/holographic_renderer.vibee", - "adsTitle": "AdS\u2085 Radial Slice \u2014 Bulk/Boundary Correspondence", - "spinTitle": "Spin Network \u2014 Area Eigenvalues", - "penroseTitle": "Penrose P3 Tiling \u2014 Golden Properties", + "adsTitle": "AdS₅ Radial Slice — Bulk/Boundary Correspondence", + "spinTitle": "Spin Network — Area Eigenvalues", + "penroseTitle": "Penrose P3 Tiling — Golden Properties", "entropyTitle": "Bekenstein-Hawking Entropy Surface", - "hawkingTitle": "Hawking Radiation \u2014 Black Hole Evaporation", + "hawkingTitle": "Hawking Radiation — Black Hole Evaporation", "formula": "Formula", "solarEntropy": "Solar mass BH entropy", "holoBits": "Holographic bits", - "multiverseTitle": "Eternal Inflation \u2014 Bubble Universes", - "stringTitle": "String Theory Landscape \u2014 Flux Vacua", - "ryuTitle": "Ryu-Takayanagi \u2014 Holographic Entanglement Entropy" + "multiverseTitle": "Eternal Inflation — Bubble Universes", + "stringTitle": "String Theory Landscape — Flux Vacua", + "ryuTitle": "Ryu-Takayanagi — Holographic Entanglement Entropy" }, "quantumGravity": { "title": "Quantum Gravity Simulation v3.1", @@ -1095,9 +2181,9 @@ "formulaFits": "Formula Fits", "verified": "Verified", "topComputations": "Top Sacred Computations", - "stakingTitle": "Staking Tiers (Fibonacci \u00d7 \u03c6)", + "stakingTitle": "Staking Tiers (Fibonacci × φ)", "proofTitle": "Proof-of-Sacred-Computation", - "tokenomicsTitle": "$TRI Tokenomics (\u03c6-deflation model)" + "tokenomicsTitle": "$TRI Tokenomics (φ-deflation model)" }, "stickyCta": { "invest": "Invest Now", @@ -1117,29 +2203,83 @@ "title": "Scientific Verification", "sub": "Peer-reviewed mathematics. Every formula independently verified.", "stats": [ - { "value": "27/27", "label": "Tests Passed" }, - { "value": "4", "label": "Theorems Proven" }, - { "value": "<0.01%", "label": "Max Error" } + { + "value": "27/27", + "label": "Tests Passed" + }, + { + "value": "4", + "label": "Theorems Proven" + }, + { + "value": "<0.01%", + "label": "Max Error" + } ], "evidenceTitle": "Test Coverage", "sections": [ - { "name": "VSA Operations", "passed": 7, "total": 7 }, - { "name": "Ternary VM", "passed": 5, "total": 5 }, - { "name": "Noise Robustness", "passed": 4, "total": 4 }, - { "name": "BitNet MAC", "passed": 7, "total": 7 }, - { "name": "Sacred Constants", "passed": 4, "total": 4 } + { + "name": "VSA Operations", + "passed": 7, + "total": 7 + }, + { + "name": "Ternary VM", + "passed": 5, + "total": 5 + }, + { + "name": "Noise Robustness", + "passed": 4, + "total": 4 + }, + { + "name": "BitNet MAC", + "passed": 7, + "total": 7 + }, + { + "name": "Sacred Constants", + "passed": 4, + "total": 4 + } ], "formulasTitle": "Core Formulas", "formulas": [ - { "formula": "φ² + 1/φ² = 3", "desc": "Trinity Identity", "error": "0.0%" }, - { "formula": "I(r) = (B/r) × log₂(r)", "desc": "Optimal Radix", "error": "0.0%" }, - { "formula": "log₂(3) = 1.585 bits/trit", "desc": "Information Density", "error": "0.0%" }, - { "formula": "3²¹ = 10,460,353,203", "desc": "Token Supply", "error": "0.0%" } + { + "formula": "φ² + 1/φ² = 3", + "desc": "Trinity Identity", + "error": "0.0%" + }, + { + "formula": "I(r) = (B/r) × log₂(r)", + "desc": "Optimal Radix", + "error": "0.0%" + }, + { + "formula": "log₂(3) = 1.585 bits/trit", + "desc": "Information Density", + "error": "0.0%" + }, + { + "formula": "3²¹ = 10,460,353,203", + "desc": "Token Supply", + "error": "0.0%" + } ], "sources": [ - { "title": "Knuth Vol. 3", "desc": "Optimal radix proof" }, - { "title": "Microsoft BitNet", "desc": "arXiv:2402.17764" }, - { "title": "TerEffic FPGA", "desc": "arXiv:2502.16473" } + { + "title": "Knuth Vol. 3", + "desc": "Optimal radix proof" + }, + { + "title": "Microsoft BitNet", + "desc": "arXiv:2402.17764" + }, + { + "title": "TerEffic FPGA", + "desc": "arXiv:2502.16473" + } ] }, "autonomousUniverse": { diff --git a/apps/website/messages/ru.json b/apps/website/messages/ru.json index 1a09abec94..7f790fe4c4 100644 --- a/apps/website/messages/ru.json +++ b/apps/website/messages/ru.json @@ -2,7 +2,17 @@ "lang": "ru", "langSwitch": "EN", "langHref": "?lang=en", - "nav": ["TRINITY", "Теоремы", "Публикации", "Решение", "Бенчмарки", "Калькулятор", "DePIN", "Команда", "Инвестиции"], + "nav": [ + "TRINITY", + "Теоремы", + "Публикации", + "Решение", + "Бенчмарки", + "Калькулятор", + "DePIN", + "Команда", + "Инвестиции" + ], "hero": { "tag": "Доказанная Экономика Green AI", "badge_publications": "7 ПУБЛИКАЦИИ", @@ -12,17 +22,45 @@ "quote": "\"Не заявление — теорема. Не обещание — доказательство. Не симуляция — проверено на GPU.\"", "desc": "Первая AI платформа с 4 математическими теоремами + верифицированными бенчмарками: 20× сжатие памяти (проверено на CPU), до 3000× энергоэффективность (проекция FPGA)", "metrics": [ - { "value": "15.7×", "label": "Сжатие", "proof": "Теорема 3 + ternary_quant_report" }, - { "value": "8.1×", "label": "Ускорение GPU", "proof": "Теорема 2 + GPU benchmarks" }, - { "value": "100%", "label": "Устойчивость к шуму", "proof": "Теорема 1 + hdc_double_q_report" } + { + "value": "15.7×", + "label": "Сжатие", + "proof": "Теорема 3 + ternary_quant_report" + }, + { + "value": "8.1×", + "label": "Ускорение GPU", + "proof": "Теорема 2 + GPU benchmarks" + }, + { + "value": "100%", + "label": "Устойчивость к шуму", + "proof": "Теорема 1 + hdc_double_q_report" + } ], "newResults": { "title": "Последние верифицированные результаты", "items": [ - { "value": "15.7×", "label": "HDC сжатие", "source": "ternary_quant_report.md" }, - { "value": "43%", "label": "Бонус разреженности", "source": "ternary_quant_report.md" }, - { "value": "100%", "label": "Устойчивость при 20% ошибок", "source": "hdc_double_q_report.md" }, - { "value": "8.1×", "label": "SIMD ускорение", "source": "GPU benchmarks" } + { + "value": "15.7×", + "label": "HDC сжатие", + "source": "ternary_quant_report.md" + }, + { + "value": "43%", + "label": "Бонус разреженности", + "source": "ternary_quant_report.md" + }, + { + "value": "100%", + "label": "Устойчивость при 20% ошибок", + "source": "hdc_double_q_report.md" + }, + { + "value": "8.1×", + "label": "SIMD ускорение", + "source": "GPU benchmarks" + } ] }, "cta": "Смотреть доказательства", @@ -100,10 +138,26 @@ "ctaUrl": "https://github.com/gHashTag/trinity/blob/main/docs/MATH_FOUNDATIONS.md", "reportsTitle": "Верифицированные отчёты", "reports": [ - { "name": "Отчёт о троичной квантизации", "url": "https://github.com/gHashTag/trinity/blob/main/docs/ternary_quant_report.md", "highlight": "15.7× сжатие" }, - { "name": "Отчёт HDC Double Q-Learning", "url": "https://github.com/gHashTag/trinity/blob/main/docs/hdc_double_q_report.md", "highlight": "100% устойчивость к шуму" }, - { "name": "GPU бенчмарки", "url": "https://github.com/gHashTag/trinity/blob/main/docs/GPU_BENCHMARKS.md", "highlight": "8.1× SIMD ускорение" }, - { "name": "Production бенчмарки", "url": "https://github.com/gHashTag/trinity/blob/main/docs/PRODUCTION_BENCHMARKS.md", "highlight": "Auto-scaling ready" } + { + "name": "Отчёт о троичной квантизации", + "url": "https://github.com/gHashTag/trinity/blob/main/docs/ternary_quant_report.md", + "highlight": "15.7× сжатие" + }, + { + "name": "Отчёт HDC Double Q-Learning", + "url": "https://github.com/gHashTag/trinity/blob/main/docs/hdc_double_q_report.md", + "highlight": "100% устойчивость к шуму" + }, + { + "name": "GPU бенчмарки", + "url": "https://github.com/gHashTag/trinity/blob/main/docs/GPU_BENCHMARKS.md", + "highlight": "8.1× SIMD ускорение" + }, + { + "name": "Production бенчмарки", + "url": "https://github.com/gHashTag/trinity/blob/main/docs/PRODUCTION_BENCHMARKS.md", + "highlight": "Auto-scaling ready" + } ] }, "roiCalculator": { @@ -112,9 +166,27 @@ "inputLabel": "Начальные инвестиции ($)", "hardwareLabel": "Тип оборудования", "hardwareOptions": [ - { "name": "QMTECH FPGA XC7A100T", "hashrate": 2000000, "power": 10, "cost": 65, "monthly": 50 }, - { "name": "Alveo U55C", "hashrate": 50000000, "power": 150, "cost": 5000, "monthly": 162 }, - { "name": "CPU нода (бесплатно)", "hashrate": 12000, "power": 65, "cost": 0, "monthly": 5 } + { + "name": "QMTECH FPGA XC7A100T", + "hashrate": 2000000, + "power": 10, + "cost": 65, + "monthly": 50 + }, + { + "name": "Alveo U55C", + "hashrate": 50000000, + "power": 150, + "cost": 5000, + "monthly": 162 + }, + { + "name": "CPU нода (бесплатно)", + "hashrate": 12000, + "power": 65, + "cost": 0, + "monthly": 5 + } ], "results": { "monthlyRevenue": "Месячный доход", @@ -126,11 +198,26 @@ "example": { "title": "Пример: Alveo U55C ($5,000)", "items": [ - { "label": "Месячный доход", "value": "$162" }, - { "label": "Электричество", "value": "$31" }, - { "label": "Чистая прибыль", "value": "$131/месяц" }, - { "label": "Окупаемость", "value": "4.9 месяца" }, - { "label": "Годовой ROI", "value": "31%" } + { + "label": "Месячный доход", + "value": "$162" + }, + { + "label": "Электричество", + "value": "$31" + }, + { + "label": "Чистая прибыль", + "value": "$131/месяц" + }, + { + "label": "Окупаемость", + "value": "4.9 месяца" + }, + { + "label": "Годовой ROI", + "value": "31%" + } ] }, "note": "На основе Теоремы 3: 1.58-битная квантизация даёт 20× прирост эффективности" @@ -141,12 +228,31 @@ "bitnetTitle": "Проблема бинарной энтропии", "bitnetDesc": "Стандартные GPU тратят 99% энергии на борьбу с бинарной энтропией. Перевод тритов {-1, 0, +1} в биты — это вычислительное преступление. Мы устранили посредника.", "binaryTitle": "Бинарная имитация (Legacy)", - "binaryFlow": ["BitNet {-1,0,+1}", "↓ Бинарное кодирование", "↓ LLVM/Zig прослойка", "↓ Вентильный шум", "Тепло/Потери"], - "binaryStats": ["Энергия: 100% (Потери)", "Код: В 5 раз рыхлее", "Защита: Отсутствует"], + "binaryFlow": [ + "BitNet {-1,0,+1}", + "↓ Бинарное кодирование", + "↓ LLVM/Zig прослойка", + "↓ Вентильный шум", + "Тепло/Потери" + ], + "binaryStats": [ + "Энергия: 100% (Потери)", + "Код: В 5 раз рыхлее", + "Защита: Отсутствует" + ], "trinityTitle": "НАТИВНАЯ TRINITY (V5.0)", "trinityDesc": "Нативное ядро SU(3) устраняет 99.8% потерь и обеспечивает ускорение в 100 раз.", - "trinityFlow": ["Coptic CIS V1.0", "↓ Нативные Триады", "↓ SU(3) Резонанс", "Аппаратная Истина"], - "trinityStats": ["Энергия: 0.17% (PAS 5.0)", "Код: 80.2% сжатие", "Защита: Chern-Bott"], + "trinityFlow": [ + "Coptic CIS V1.0", + "↓ Нативные Триады", + "↓ SU(3) Резонанс", + "Аппаратная Истина" + ], + "trinityStats": [ + "Энергия: 0.17% (PAS 5.0)", + "Код: 80.2% сжатие", + "Защита: Chern-Bott" + ], "quote": "\"Trinity Core VIBEE — это не компьютер. Это нативная конфигурация кутритов.\"", "quoteSrc": "— Отчет о Сингулярности V5, 2026", "density": { @@ -171,30 +277,76 @@ }, "solution": { "title": "Почему Абсолютная Триада?", - "legend": ["578.8x энергоэффективность", "SU(3) Унитарное ядро", "Нативный коптский опкод (CIS)"], + "legend": [ + "578.8x энергоэффективность", + "SU(3) Унитарное ядро", + "Нативный коптский опкод (CIS)" + ], "cards": [ - { "value": "578.8×", "label": "Энергоэффективность", "color": "blue" }, - { "value": "100×", "label": "Скорость SU(3)", "color": "green" }, - { "value": "99.8%", "label": "Снижение затрат", "color": "purple" }, - { "value": "80.2%", "label": "Сжатие кода", "color": "yellow" }, - { "value": "27 CIS", "label": "Нативный Алфавит", "color": "cyan" }, - { "value": "V5.0", "label": "Singularity", "color": "green" } + { + "value": "578.8×", + "label": "Энергоэффективность", + "color": "blue" + }, + { + "value": "100×", + "label": "Скорость SU(3)", + "color": "green" + }, + { + "value": "99.8%", + "label": "Снижение затрат", + "color": "purple" + }, + { + "value": "80.2%", + "label": "Сжатие кода", + "color": "yellow" + }, + { + "value": "27 CIS", + "label": "Нативный Алфавит", + "color": "cyan" + }, + { + "value": "V5.0", + "label": "Singularity", + "color": "green" + } ] }, "whynow": { "title": "Почему Сингулярность сейчас?", "cards": [ - { "title": "Аппаратный Резонанс", "desc": "Мы достигли 100% сопряжения лингвистики и кремния через CIS V1.0." }, - { "title": "Победа над Энтропией", "desc": "PAS Daemons V5.0 превращают информационный шум в полезную энергию." }, - { "title": "Топологическая Защита", "desc": "Инварианты Черна-Ботта делают вычисления Trinity неуязвимыми к помехам." } + { + "title": "Аппаратный Резонанс", + "desc": "Мы достигли 100% сопряжения лингвистики и кремния через CIS V1.0." + }, + { + "title": "Победа над Энтропией", + "desc": "PAS Daemons V5.0 превращают информационный шум в полезную энергию." + }, + { + "title": "Топологическая Защита", + "desc": "Инварианты Черна-Ботта делают вычисления Trinity неуязвимыми к помехам." + } ] }, "usecases": { "title": "Сферы применения", "items": [ - { "title": "Инференс LLM", "desc": "Запуск Llama 3 в 578 раз дешевле текущих затрат." }, - { "title": "Edge AI", "desc": "AI в реальном времени в камерах и роботах без задержек." }, - { "title": "Дата-центры", "desc": "Увеличьте свои мощности в 100 раз без модернизации электросети." } + { + "title": "Инференс LLM", + "desc": "Запуск Llama 3 в 578 раз дешевле текущих затрат." + }, + { + "title": "Edge AI", + "desc": "AI в реальном времени в камерах и роботах без задержек." + }, + { + "title": "Дата-центры", + "desc": "Увеличьте свои мощности в 100 раз без модернизации электросети." + } ] }, "benchmarks": { @@ -206,30 +358,123 @@ "badge": "🔥 ПРОВЕРЕНО НА РЕАЛЬНЫХ GPU", "note": "Реальные бенчмарки RunPod - Pod ID: bhhnrrdothqm54 (RTX 3090), ydk41ymp8uoeyp (A100). Без симуляции.", "gpus": [ - { "name": "RTX 3090", "tokens": "298K", "noise": "70.2%", "power": "348W", "cost": "$0.10", "podId": "bhhnrrdothqm54" }, - { "name": "A100 80GB", "tokens": "274K", "noise": "70.2%", "power": "293W", "cost": "$0.20", "podId": "ydk41ymp8uoeyp" } + { + "name": "RTX 3090", + "tokens": "298K", + "noise": "70.2%", + "power": "348W", + "cost": "$0.10", + "podId": "bhhnrrdothqm54" + }, + { + "name": "A100 80GB", + "tokens": "274K", + "noise": "70.2%", + "power": "293W", + "cost": "$0.20", + "podId": "ydk41ymp8uoeyp" + } ] }, "metrics": [ - { "value": "298K", "label": "Токенов/сек (RTX 3090)", "desc": "Проверено на RunPod GPU", "theorem": "GPU" }, - { "value": "20×", "label": "Сжатие Памяти", "desc": "Теорема 3: 32-бит → 1.58-бит", "theorem": "3" }, - { "value": "70%", "label": "Устойчивость к Шуму", "desc": "Точность при 30% повреждении тритов", "theorem": "1" }, - { "value": "3000×", "label": "Энергоэффективность", "desc": "Проекция на FPGA", "theorem": "2" } + { + "value": "298K", + "label": "Токенов/сек (RTX 3090)", + "desc": "Проверено на RunPod GPU", + "theorem": "GPU" + }, + { + "value": "20×", + "label": "Сжатие Памяти", + "desc": "Теорема 3: 32-бит → 1.58-бит", + "theorem": "3" + }, + { + "value": "70%", + "label": "Устойчивость к Шуму", + "desc": "Точность при 30% повреждении тритов", + "theorem": "1" + }, + { + "value": "3000×", + "label": "Энергоэффективность", + "desc": "Проекция на FPGA", + "theorem": "2" + } ], "comparison": { - "headers": ["Платформа", "Память", "Скорость", "Точность", "Энергия", "Теоремы"], + "headers": [ + "Платформа", + "Память", + "Скорость", + "Точность", + "Энергия", + "Теоремы" + ], "rows": [ - { "model": "TRINITY SU(3)", "value": 71, "color": "#00e599" }, - { "model": "BitNet b1.58 (Microsoft)", "value": 15, "color": "#888" }, - { "model": "Groq LPU", "value": 8, "color": "#666" }, - { "model": "NVIDIA H100", "value": 4, "color": "#555" }, - { "model": "OpenAI GPT-4", "value": 1, "color": "#444" } + { + "model": "TRINITY SU(3)", + "value": 71, + "color": "#00e599" + }, + { + "model": "BitNet b1.58 (Microsoft)", + "value": 15, + "color": "#888" + }, + { + "model": "Groq LPU", + "value": 8, + "color": "#666" + }, + { + "model": "NVIDIA H100", + "value": 4, + "color": "#555" + }, + { + "model": "OpenAI GPT-4", + "value": 1, + "color": "#444" + } ], "table": [ - { "platform": "TRINITY", "memory": "20× ✓", "speed": "10× *", "accuracy": "100% ✓", "energy": "3000× *", "theorem": "1-4", "highlight": true }, - 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{ "title": "SU(3) Core", "desc": "Унитарные вращения фазы в пространстве Гелл-Манна", "tests": "Verilog Верифицирован ✓" }, - { "title": "PAS V5.0", "desc": "Информационный насос Максвелла: 578.8x КПД", "tests": "Термодинамика ✓" }, - { "title": "Coptic CIS", "desc": "27 букв = 27 опкодов (Fixed-Point 16.16)", "tests": "5.1x плотность ✓" }, - { "title": "Chern Protection", "desc": "Топологическая устойчивость вычислений", "tests": "Инвариант зафиксирован ✓" } + { + "title": "SU(3) Core", + "desc": "Унитарные вращения фазы в пространстве Гелл-Манна", + "tests": "Verilog Верифицирован ✓" + }, + { + "title": "PAS V5.0", + "desc": "Информационный насос Максвелла: 578.8x КПД", + "tests": "Термодинамика ✓" + }, + { + "title": "Coptic CIS", + "desc": "27 букв = 27 опкодов (Fixed-Point 16.16)", + "tests": "5.1x плотность ✓" + }, + { + "title": "Chern Protection", + "desc": "Топологическая устойчивость вычислений", + "tests": "Инвариант зафиксирован ✓" + } ], "progress": [ - { "label": "Знания (.tri)", "value": "20,645 файлов" }, - 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"headers": ["Барьер", "Влияние", "Решение Trinity"], + "headers": [ + "Барьер", + "Влияние", + "Решение Trinity" + ], "rows": [ { "barrier": "Электроэнергия", @@ -295,25 +593,71 @@ "market": { "title": "Рынок $200B", "funnel": [ - { "value": "$200B", "label": "TAM — AI ускорители" }, - { "value": "$80B", "label": "SAM — AI инференс" }, - { "value": "$8B", "label": "SOM — Троичные (10%)" } + { + "value": "$200B", + "label": "TAM — AI ускорители" + }, + { + "value": "$80B", + "label": "SAM — AI инференс" + }, + { + "value": "$8B", + "label": "SOM — Троичные (10%)" + } ], "compsTitle": "Сравнимые оценки", - "headers": ["Компания", "Оценка", "Выручка", "Мультипликатор"], + "headers": [ + "Компания", + "Оценка", + "Выручка", + "Мультипликатор" + ], "rows": [ - ["Cerebras", "$4.0B", "$100M", "40×"], - ["Groq", "$2.8B", "$50M", "56×"], - ["SambaNova", "$5.0B", "$150M", "33×"], - ["TRINITY", "$300M", "До выручки", "Посев"] + [ + "Cerebras", + "$4.0B", + "$100M", + "40×" + ], + [ + "Groq", + "$2.8B", + "$50M", + "56×" + ], + [ + "SambaNova", + "$5.0B", + "$150M", + "33×" + ], + [ + "TRINITY", + "$300M", + "До выручки", + "Посев" + ] ] }, "roadmap": { "title": "Дорожная карта", "milestones": [ - 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зависимости от нагрузки", + "metrics": "0→100 подов" + }, + "dep-004": { + "name": "Мультирегиональность", + "description": "Глобальный деплой с маршрутизацией по регионам", + "metrics": "Задержка < 50мс" + }, + "dep-005": { + "name": "Без простоев", + "description": "Стратегии развертывания blue-green и canary", + "metrics": "99,99% доступность" + }, + "hw-001": { + "name": "CUDA Бэкенд", + "description": "Нативные CUDA-ядра для GPU NVIDIA", + "metrics": "Скорость +100x" + }, + "hw-002": { + "name": "Metal Бэкенд", + "description": "Apple Metal шейдеры для чипов M-серии", + "metrics": "Скорость +80x" + }, + "hw-003": { + "name": "FPGA Синтез", + "description": "Генерация Verilog для развертывания на FPGA", + "metrics": "Эффективность 1000x" + }, + "hw-004": { + "name": "ASIC Дизайн", + "description": "Кастомный троичный чип для максимальной эффективности", + "metrics": "Эффективность 10000x" + }, + "hw-005": { + "name": "Квантовая схема", + "description": "Экспериментальные квантовые вентили для троичной логики", + "metrics": "Троичные кубиты" + }, + "agent-001": { + "name": "Ядро IGLA", + "description": "Архитектура генеративного обучения на инструкциях", + "metrics": "v1.0 стабильно" + }, + "agent-002": { + "name": "Движок инструментов", + "description": "Вызов локальных функций и интеграция инструментов", + "metrics": "50+ инструментов" + }, + "agent-003": { + "name": "Длинный контекст", + "description": "Безграничная история с адаптивными окнами контекста", + "metrics": "∞ токенов" + }, + "agent-004": { + "name": "Мультиагентность", + "description": "Оркестрация координатора и специализированных агентов", + "metrics": "8 специалистов" + }, + "agent-005": { + "name": "Роевой интеллект", + "description": "Децентрализованное эмерджентное поведение агентов", + "metrics": "1К+ агентов" + }, + "know-001": { + "name": "Ядро VSA", + "description": "Vector Symbolic Architecture с операциями связки/группировки", + "metrics": "10K измерений" + }, + "know-002": { + "name": "Граф знаний", + "description": "Семантические сети на базе триплетов с кодированием VSA", + "metrics": "1M триплетов" + }, + "know-003": { + "name": "Семантический поиск", + "description": "Поиск по косинусному сходству в гипервекторах", + "metrics": "Запрос < 1мс" + }, + "know-004": { + "name": "RAG Движок", + "description": "Retrieval Augmented Generation на базе VSA", + "metrics": "Точность 95%" + }, + "know-005": { + "name": "Обучаемая онтология", + "description": "Автоматическое обнаружение семантических связей", + "metrics": "Без обучения" + }, + "dist-001": { + "name": "Сеть узлов", + "description": "Децентрализованное обнаружение узлов и маршрутизация", + "metrics": "1000+ узлов" + }, + "dist-002": { + "name": "TVC Шардинг", + "description": "Распределенные шарды Ternary Vector Computing", + "metrics": "256 шардов" + }, + "dist-003": { + "name": "DePIN Сеть", + "description": "Децентрализованная физическая инфраструктура с наградами $TRI", + "metrics": "Майнинг $TRI" + }, + "dist-004": { + "name": "Глобальный консенсус", + "description": "Византийский отказоустойчивый консенсус для троичного состояния", + "metrics": "10 тыс. TPS" + }, + "dist-005": { + "name": "Святая Цепь", + "description": "Золотая цепь троичных событий с неизменяемым доказательством", + "metrics": "Без раскрытия" + } } }, "product": { "title": "Продукт", "phases": [ - { "phase": "TRINITY-V5", "year": "2025-2026", "desc": "FPGA ускоритель • Нативное исполнение .TRI • Цель: AI инференс" }, - { "phase": "TRINITY-1 ASIC", "year": "2027", "desc": "Первый нативный троичный чип • 180нм (низкий риск) • Цель: Edge AI" }, - { "phase": "TRINITY-X", "year": "2029", "desc": "Продвинутый узел (28нм) • Полный SoC с троичным CPU • Цель: Дата-центры" } + { + "phase": "TRINITY-V5", + "year": "2025-2026", + "desc": "FPGA ускоритель • Нативное исполнение .TRI • Цель: AI инференс" + }, + { + "phase": "TRINITY-1 ASIC", + "year": "2027", + "desc": "Первый нативный троичный чип • 180нм (низкий риск) • Цель: Edge AI" + }, + { + "phase": "TRINITY-X", + "year": "2029", + "desc": "Продвинутый узел (28нм) • Полный SoC с троичным CPU • Цель: Дата-центры" + } ] }, "financials": { "title": "Путь к $10B+", - "headers": ["Год", "Выручка", "Маржа", "Оценка", "Штат"], + "headers": [ + "Год", + "Выручка", + "Маржа", + "Оценка", + "Штат" + ], "rows": [ - ["2026", "$2M", "50%", "$300M", "15"], - ["2027", "$15M", "55%", "$500M", "50"], - ["2028", "$80M", "60%", "$2B", "150"], - ["2029", "$300M", "65%", "$5B", "400"], - ["2030", "$1B", "70%", "$10B+", "1,000"] + [ + "2026", + "$2M", + "50%", + "$300M", + "15" + ], + [ + "2027", + "$15M", + "55%", + "$500M", + "50" + ], + [ + "2028", + "$80M", + "60%", + "$2B", + "150" + ], + [ + "2029", + "$300M", + "65%", + "$5B", + "400" + ], + [ + "2030", + "$1B", + "70%", + "$10B+", + "1,000" + ] ], "note": "Мультипликатор сравним с Cerebras (40×), Groq (56×), SambaNova (33×)" }, "businessModel": { "title": "Бизнес модель", "streams": [ - { "percent": "60%", "title": "Продажи железа", "desc": "TRINITY-FPGA: $15K ASP, 55% маржа • TRINITY-ASIC: $3K ASP, 65% маржа" }, - { "percent": "30%", "title": "IP лицензирование", "desc": "Лицензия троичного IP чипмейкерам • $2-5 роялти за чип • 90%+ маржа" }, - { "percent": "10%", "title": "ПО и сервисы", "desc": "TRINITY SDK: $100K/год энтерпрайз • Интеграция • 80% маржа" } + { + "percent": "60%", + "title": "Продажи железа", + "desc": "TRINITY-FPGA: $15K ASP, 55% маржа • TRINITY-ASIC: $3K ASP, 65% маржа" + }, + { + "percent": "30%", + "title": "IP лицензирование", + "desc": "Лицензия троичного IP чипмейкерам • $2-5 роялти за чип • 90%+ маржа" + }, + { + "percent": "10%", + "title": "ПО и сервисы", + "desc": "TRINITY SDK: $100K/год энтерпрайз • Интеграция • 80% маржа" + } ], "unitEcon": "LTV/CAC: 15× | Цель Год 1: 1,000 юнитов = $7.5M выручки" }, "gtm": { "title": "Выход на рынок", "phases": [ - { "phase": "Фаза 1", "title": "Исследовательские лаборатории", "desc": "Университеты, AI лаборатории • Бесплатные пилоты • Кейсы" }, - { "phase": "Фаза 2", "title": "AI стартапы", "desc": "Экономия на инференсе • FPGA карты • $10K-50K сделки" }, - { "phase": "Фаза 3", "title": "Корпорации", "desc": "Облачные провайдеры • ASIC лицензирование • $1M+ сделки" } + { + "phase": "Фаза 1", + "title": "Исследовательские лаборатории", + "desc": "Университеты, AI лаборатории • Бесплатные пилоты • Кейсы" + }, + { + "phase": "Фаза 2", + "title": "AI стартапы", + "desc": "Экономия на инференсе • FPGA карты • $10K-50K сделки" + }, + { + "phase": "Фаза 3", + "title": "Корпорации", + "desc": "Облачные провайдеры • ASIC лицензирование • $1M+ сделки" + } ] }, "timeline": { "title": "Технологическая Таймлайн", "items": [ - { "year": "2023", "title": "BitNet", "desc": "(Microsoft)", "type": "past" }, - { "year": "2024", "title": "BitNet b1.58", "desc": "validated", "type": "past" }, - { "year": "2025", "title": "FPGA", "desc": "прототипы", "type": "past" }, - { "year": "2026", "title": "Phase 5.0", "desc": "Singularity", "type": "future" }, - { "year": "2027", "title": "Market", "desc": "Dominance", "type": "future" } + { + "year": "2023", + "title": "BitNet", + "desc": "(Microsoft)", + "type": "past" + }, + { + "year": "2024", + "title": "BitNet b1.58", + "desc": "validated", + "type": "past" + }, + { + "year": "2025", + "title": "FPGA", + "desc": "прототипы", + "type": "past" + }, + { + "year": "2026", + "title": "Phase 5.0", + "desc": "Singularity", + "type": "future" + }, + { + "year": "2027", + "title": "Market", + "desc": "Dominance", + "type": "future" + } ] }, "team": { @@ -468,15 +1073,21 @@ "achievementsTitle": "Ключевые достижения (на железе, 2026)", "achievements": [ "Обучение нейросетей на FPGA — верифицированные примитивы, обучающиеся прямо на кристалле: 100% точность на отложенной выборке, весь путь спецификация → кремний бит-точен.", - "Матумножение GF16 4×4 — 323 МГц, 41,2 GOPS, 0 DSP48, 0 защёлок на Xilinx Artix-7 с чистым закрытием тайминга.", + "Матумножение GF16 4×4 — умещается в логику Xilinx Artix-7 с 0 DSP48 и 0 защёлок: 32 252 LUT либо 21 223, если разрешить аппаратные умножители.", "Кремний подтверждён — ASIC TinyTapeout на SKY130: GDS, тест на уровне вентилей и precheck пройдены.", "Понодовая бит-точная верификация — каждый узел RTL проверяется относительно независимой эталонной модели на Python (iverilog + KAT-векторы), выявляя расхождение спецификации и RTL до синтеза.", "tri-net — полный тернарный сетевой стек (133 спецификации .t27): PHY на GF16, BPSK-модем поверх AD9361, mesh-маршрутизация и AEAD-криптография — доказано устройство-устройство по эфиру." ], "publicationsTitle": "Публикации", "publications": [ - { "title": "GoldenFloat: A φ-Derived Floating-Point Family (GF4→GF1024) — arXiv:2606.05017", "url": "https://arxiv.org/abs/2606.05017" }, - { "title": "An 83-Format Numeric Catalog with Bit-Exact Conformance Vectors: FP8, BF16, MXFP4 — arXiv:2606.09686", "url": "https://arxiv.org/abs/2606.09686" } + { + "title": "GoldenFloat: A φ-Derived Floating-Point Family (GF4→GF1024) — arXiv:2606.05017", + "url": "https://arxiv.org/abs/2606.05017" + }, + { + "title": "An 83-Format Numeric Catalog with Bit-Exact Conformance Vectors: FP8, BF16, MXFP4 — arXiv:2606.09686", + "url": "https://arxiv.org/abs/2606.09686" + } ], "links": { "linkedin": "LinkedIn", @@ -491,30 +1102,102 @@ "quote": "«ⲁⲃⲅ» — это не текст. Это конфигурация кутритов. Мы устранили последнюю границу между мыслью и действием.", "formula": "Параметрическая формула: V = n × 3^k × π^m × φ^p × e^q", "items": [ - { "title": "Coptic Compiler", "desc": "TNC V1.0 • Прямая генерация триад из алфавита" }, - { "title": "Native Knowledge", "desc": "20,645 файлов .tri • Нативная база знаний" }, - { "title": "SU(3) Runtime", "desc": "Унитарное исполнение без бинарных прослоек" }, - { "title": "PAS Daemons", "desc": "Сбор энергии из энтропии потока данных" }, - { "title": "Chern Lock", "desc": "Аппаратная защита от инъекций и сбоев" }, - { "title": "Trinity CIS", "desc": "27 инструкций = 3^3 симметрия" } + { + "title": "Coptic Compiler", + "desc": "TNC V1.0 • Прямая генерация триад из алфавита" + }, + { + "title": "Native Knowledge", + "desc": "20,645 файлов .tri • Нативная база знаний" + }, + { + "title": "SU(3) Runtime", + "desc": "Унитарное исполнение без бинарных прослоек" + }, + { + "title": "PAS Daemons", + "desc": "Сбор энергии из энтропии потока данных" + }, + { + "title": "Chern Lock", + "desc": "Аппаратная защита от инъекций и сбоев" + }, + { + "title": "Trinity CIS", + "desc": "27 инструкций = 3^3 симметрия" + } ] }, "competition": { "title": "Сравнение GPU Бенчмарков", - "headers": ["Платформа", "Железо", "Токенов/с", "Троичное", "Энергия"], + "headers": [ + "Платформа", + "Железо", + "Токенов/с", + "Троичное", + "Энергия" + ], "rows": [ - { "company": "TRINITY", "arch": "RTX 3090 (проверено)", "val": "298K", "ternary": true, "open": true }, - { "company": "TRINITY", "arch": "A100 80GB (проверено)", "val": "274K", "ternary": true, "open": true }, - { "company": "Groq", "arch": "LPU (бинарный)", "val": "276-840", "ternary": false, "open": false }, - { "company": "NVIDIA", "arch": "H100 TensorRT", "val": "1000-2000", "ternary": false, "open": false }, - { "company": "Локальный GPU", "arch": "RTX 4090 (бинарный)", "val": "100-300", "ternary": false, "open": false }, - { "company": "OpenAI", "arch": "Cloud API", "val": "50-100", "ternary": false, "open": false } + { + "company": "TRINITY", + "arch": "RTX 3090 (проверено)", + "val": "298K", + "ternary": true, + "open": true + }, + { + "company": "TRINITY", + "arch": "A100 80GB (проверено)", + "val": "274K", + "ternary": true, + "open": true + }, + { + "company": "Groq", + "arch": "LPU (бинарный)", + "val": "276-840", + "ternary": false, + "open": false + }, + { + "company": "NVIDIA", + "arch": "H100 TensorRT", + "val": "1000-2000", + "ternary": false, + "open": false + }, + { + "company": "Локальный GPU", + "arch": "RTX 4090 (бинарный)", + "val": "100-300", + "ternary": false, + "open": false + }, + { + "company": "OpenAI", + "arch": "Cloud API", + "val": "50-100", + "ternary": false, + "open": false + } ], "note": "TRINITY проверен на реальных GPU RunPod (Pod ID: bhhnrrdothqm54, ydk41ymp8uoeyp). Троичное = без умножений, 20x сжатие, 70% устойчивость к шуму при 30% повреждении.", "gpuProof": { "title": "Реальная GPU Верификация", - "rtx3090": { "podId": "bhhnrrdothqm54", "tokens": "298,052", "noise": "70.2%", "power": "348W", "cost": "$0.10" }, - "a100": { "podId": "ydk41ymp8uoeyp", "tokens": "274,043", "noise": "70.2%", "power": "293W", "cost": "$0.20" } + "rtx3090": { + "podId": "bhhnrrdothqm54", + "tokens": "298,052", + "noise": "70.2%", + "power": "348W", + "cost": "$0.10" + }, + "a100": { + "podId": "ydk41ymp8uoeyp", + "tokens": "274,043", + "noise": "70.2%", + "power": "293W", + "cost": "$0.20" + } } }, "hlsCompetition": { @@ -524,19 +1207,71 @@ "marketGrowth": "Рынок FPGA 2030 (CAGR 10.8%)", "problemTitle": "Проблема $50K", "problemDesc": "Сегодня, чтобы скомпилировать код в FPGA, компании платят $3,000-$50,000/год за инструменты, которые поддерживают только C/C++. Разработчикам приходится переписывать всё. Мы устраняем этот барьер.", - "headers": ["Решение", "Языки", "Цена/Год", "Vendor Lock", "Open Source"], + "headers": [ + "Решение", + "Языки", + "Цена/Год", + "Vendor Lock", + "Open Source" + ], "rows": [ - { "company": "AMD Vitis HLS", "langs": "Только C/C++", "price": "$3K-$10K", "lock": true, "open": false }, - { "company": "Intel Quartus HLS", "langs": "C/C++, OpenCL", "price": "$2.5K-$8K", "lock": true, "open": false }, - { "company": "Siemens Catapult", "langs": "C/C++/SystemC", "price": "$50K+", "lock": false, "open": false }, - { "company": "LegUp (Академический)", "langs": "Только C", "price": "Бесплатно", "lock": false, "open": true }, - { "company": "VIBEE", "langs": "33+ языка", "price": "БЕСПЛАТНО", "lock": false, "open": true } + { + "company": "AMD Vitis HLS", + "langs": "Только C/C++", + "price": "$3K-$10K", + "lock": true, + "open": false + }, + { + "company": "Intel Quartus HLS", + "langs": "C/C++, OpenCL", + "price": "$2.5K-$8K", + "lock": true, + "open": false + }, + { + "company": "Siemens Catapult", + "langs": "C/C++/SystemC", + "price": "$50K+", + "lock": false, + "open": false + }, + { + "company": "LegUp (Академический)", + "langs": "Только C", + "price": "Бесплатно", + "lock": false, + "open": true + }, + { + "company": "VIBEE", + "langs": "33+ языка", + "price": "БЕСПЛАТНО", + "lock": false, + "open": true + } ], "advantages": [ - { "icon": "🐍", "title": "Пишите на Python — деплойте в железо", "desc": "Ваш код на Python/JS/Rust компилируется напрямую в FPGA. Без переписывания на C++." }, - { "icon": "💰", "title": "$0 против $50,000/год", "desc": "Enterprise HLS инструменты стоят $50K+. VIBEE бесплатен и открыт навсегда." }, - { "icon": "🔓", "title": "Без привязки к вендору", "desc": "Один код работает на AMD, Intel, Lattice FPGA. Меняйте вендора когда угодно." }, - { "icon": "⚡", "title": "В 10-100 раз быстрее разработка", "desc": "Пропустите переписывание на C++. От идеи до железа за часы, не месяцы." } + { + "icon": "🐍", + "title": "Пишите на Python — деплойте в железо", + "desc": "Ваш код на Python/JS/Rust компилируется напрямую в FPGA. Без переписывания на C++." + }, + { + "icon": "💰", + "title": "$0 против $50,000/год", + "desc": "Enterprise HLS инструменты стоят $50K+. VIBEE бесплатен и открыт навсегда." + }, + { + "icon": "🔓", + "title": "Без привязки к вендору", + "desc": "Один код работает на AMD, Intel, Lattice FPGA. Меняйте вендора когда угодно." + }, + { + "icon": "⚡", + "title": "В 10-100 раз быстрее разработка", + "desc": "Пропустите переписывание на C++. От идеи до железа за часы, не месяцы." + } ], "whyItMatters": "Почему это важно", "whyItMattersDesc": "FPGA в 10-100 раз энергоэффективнее GPU для AI инференса. Но внедрение блокируется дорогими инструментами только для C. VIBEE убирает этот барьер — открывая рынок $23B каждому разработчику.", @@ -546,10 +1281,30 @@ "title": "Фундаментальные Доказательства", "sub": "Trinity V5.0 базируется на незыблемых законах в 8 областях науки.", "items": [ - { "icon": "📐", "value": "Точно 3", "label": "Золотое Тождество", "desc": "φ² + 1/φ² = 3.0000. Точная связь между Природой и логикой Trinity." }, - { "icon": "🧬", "value": "1.58", "label": "Плотность инфо", "desc": "log₂(3) бит на трит. На 58% выше плотность, чем в бинарных системах." }, - { "icon": "🌌", "value": "13.82", "label": "Возраст Вселенной", "desc": "π × φ × e = 13.82 млрд лет. Совпадает с данными Planck 2020." }, - { "icon": "⚛️", "value": "137.03", "label": "Тонкая структура", "desc": "1/α = 4π³ + π² + π. Геометрия физического мира через π." } + { + "icon": "📐", + "value": "Точно 3", + "label": "Золотое Тождество", + "desc": "φ² + 1/φ² = 3.0000. Точная связь между Природой и логикой Trinity." + }, + { + "icon": "🧬", + "value": "1.58", + "label": "Плотность инфо", + "desc": "log₂(3) бит на трит. На 58% выше плотность, чем в бинарных системах." + }, + { + "icon": "🌌", + "value": "13.82", + "label": "Возраст Вселенной", + "desc": "π × φ × e = 13.82 млрд лет. Совпадает с данными Planck 2020." + }, + { + "icon": "⚛️", + "value": "137.03", + "label": "Тонкая структура", + "desc": "1/α = 4π³ + π² + π. Геометрия физического мира через π." + } ], "paperTitle": "Трансцендентные Доказательства", "papers": [ @@ -565,12 +1320,36 @@ "title": "Технические Активы V5", "sub": "Мировая база нативных троичных знаний уже создана.", "items": [ - { "value": "20,645", "label": "Файлов .tri", "desc": "Нативная база знаний Trinity" }, - { "value": "50+", "label": "Safety Модулей", "desc": "Tier 219-268: Alignment & Privacy" }, - { "value": "1.58", "label": "Бит / Трит", "desc": "Log2(3) Информационная плотность" }, - { "value": "E-Graph", "label": "Оптимизатор", "desc": "Бенчмарки сатурации пройдены" }, - { "value": "SU(3)", "label": "Native Core", "desc": "Унитарный вычислитель" }, - { "value": "100x", "label": "Speedup", "desc": "Ускорение нативных операций" } + { + "value": "20,645", + "label": "Файлов .tri", + "desc": "Нативная база знаний Trinity" + }, + { + "value": "50+", + "label": "Safety Модулей", + "desc": "Tier 219-268: Alignment & Privacy" + }, + { + "value": "1.58", + "label": "Бит / Трит", + "desc": "Log2(3) Информационная плотность" + }, + { + "value": "E-Graph", + "label": "Оптимизатор", + "desc": "Бенчмарки сатурации пройдены" + }, + { + "value": "SU(3)", + "label": "Native Core", + "desc": "Унитарный вычислитель" + }, + { + "value": "100x", + "label": "Speedup", + "desc": "Ускорение нативных операций" + } ] }, "calculatorLogic": { @@ -596,10 +1375,30 @@ "• Стоимость: $0.01-0.03 за 1K токенов" ], "examples": [ - { "op": "Матрица 1024×1024", "binary": "2.1 млрд операций", "ternary": "890 млн операций", "savings": "58%" }, - { "op": "Вычисление log₂(x)", "binary": "Ряд Тейлора ~50 итераций", "ternary": "Нативно за 3 шага", "savings": "94%" }, - { "op": "FFT 4096 точек", "binary": "49K умножений", "ternary": "12K троичных операций", "savings": "75%" }, - { "op": "Нейросеть инференс", "binary": "FP32 → 4 байта/вес", "ternary": "1.58 бит/вес", "savings": "95%" } + { + "op": "Матрица 1024×1024", + "binary": "2.1 млрд операций", + "ternary": "890 млн операций", + "savings": "58%" + }, + { + "op": "Вычисление log₂(x)", + "binary": "Ряд Тейлора ~50 итераций", + "ternary": "Нативно за 3 шага", + "savings": "94%" + }, + { + "op": "FFT 4096 точек", + "binary": "49K умножений", + "ternary": "12K троичных операций", + "savings": "75%" + }, + { + "op": "Нейросеть инференс", + "binary": "FP32 → 4 байта/вес", + "ternary": "1.58 бит/вес", + "savings": "95%" + } ] }, { @@ -633,16 +1432,30 @@ } ], "tableTitle": "Бинарные vs Троичные: Сравнение Операций", - "tableHeaders": ["Операция", "Бинарный подход", "Троичный подход", "Экономия энергии"], + "tableHeaders": [ + "Операция", + "Бинарный подход", + "Троичный подход", + "Экономия энергии" + ], "quote": "\"Мы пытаемся имитировать интеллект грубой силой, когда вселенная используют элегантную математику.\"" }, "technology": { "title": "Технология", "sub": "Как работает TRINITY", "layers": [ - { "title": "SU(3) CORE", "desc": "Унитарный троичный процессор" }, - { "title": "PAS DAEMONS", "desc": "Информационный насос энергии" }, - { "title": "TRI-MEMORY", "desc": "Нативное хранение триад" } + { + "title": "SU(3) CORE", + "desc": "Унитарный троичный процессор" + }, + { + "title": "PAS DAEMONS", + "desc": "Информационный насос энергии" + }, + { + "title": "TRI-MEMORY", + "desc": "Нативное хранение триад" + } ], "softwareStack": "НАТИВНЫЙ СТЕК TRINITY (CIS V1.0)", "innovationsTitle": "Ключевые Инновации", @@ -667,14 +1480,66 @@ "title": "18 месяцев майлстоуны", "sub": "Масштабирование Сингулярности", "quarters": [ - { "q": "Q1 2026", "title": "Фундамент", "items": ["Стек CIS V1.0", "FPGA SU(3) Core", "Бенчмарки"] }, - { "q": "Q2 2026", "title": "Валидация", "items": ["Llama-3 на .TRI", "Демо 100× ускорения", "Первые бета-клиенты"] }, - { "q": "Q3 2026", "title": "Продукт", "items": ["TRINITY-PCIe V5", "SDK и документация", "5 платящих клиентов"] }, - { "q": "Q4 2026", "title": "Масштаб", "items": ["$1M ARR", "ASIC дизайн", "Раунд A"] }, - { "q": "Q1 2027", "title": "Tape-out", "items": ["TSMC 180nm ASIC", "Нативная логика", "Проверка пластин"] }, - { "q": "Q2 2027", "title": "Экспансия", "items": ["Tier-1 контракты", "Троичный CPU", "Лидерство в Edge"] } + { + "q": "Q1 2026", + "title": "Фундамент", + "items": [ + "Стек CIS V1.0", + "FPGA SU(3) Core", + "Бенчмарки" + ] + }, + { + "q": "Q2 2026", + "title": "Валидация", + "items": [ + "Llama-3 на .TRI", + "Демо 100× ускорения", + "Первые бета-клиенты" + ] + }, + { + "q": "Q3 2026", + "title": "Продукт", + "items": [ + "TRINITY-PCIe V5", + "SDK и документация", + "5 платящих клиентов" + ] + }, + { + "q": "Q4 2026", + "title": "Масштаб", + "items": [ + "$1M ARR", + "ASIC дизайн", + "Раунд A" + ] + }, + { + "q": "Q1 2027", + "title": "Tape-out", + "items": [ + "TSMC 180nm ASIC", + "Нативная логика", + "Проверка пластин" + ] + }, + { + "q": "Q2 2027", + "title": "Экспансия", + "items": [ + "Tier-1 контракты", + "Троичный CPU", + "Лидерство в Edge" + ] + } ], - "success": ["100×+ ускорение", "20k+ TRI файлов", "$1M+ пайплайн"] + "success": [ + "100×+ ускорение", + "20k+ TRI файлов", + "$1M+ пайплайн" + ] }, "vision": { "title": "Видение 2030", @@ -722,26 +1587,65 @@ "proofTitle": "Демонстрация для инвесторов", "proofIntro": "Этот прототип доказывает превосходство нашего подхода. Мы демонстрируем не просто концепцию, а работающий программный стек для блокчейна на принципах SU(3) — основу для будущих чипов Trinity.", "proofItems": [ - { "title": "De-risking Фаза", "desc": "Алгоритмы проверены на реальном кремнии (ARM/FPGA). Логика SU(3) полностью готова к производству в ASIC." }, - { "title": "Захват рынка", "desc": "Trinity превращает 7 млрд смартфонов в легальные и сверхприбыльные добывающие узлы без перегрева и износа." }, - { "title": "Экспоненциальный ROI", "desc": "578-кратный перевес в энергоэффективности — это единственный путь к выживанию майнинга после 2026 года." } + { + "title": "De-risking Фаза", + "desc": "Алгоритмы проверены на реальном кремнии (ARM/FPGA). Логика SU(3) полностью готова к производству в ASIC." + }, + { + "title": "Захват рынка", + "desc": "Trinity превращает 7 млрд смартфонов в легальные и сверхприбыльные добывающие узлы без перегрева и износа." + }, + { + "title": "Экспоненциальный ROI", + "desc": "578-кратный перевес в энергоэффективности — это единственный путь к выживанию майнинга после 2026 года." + } ] }, "invest": { "title": "Инвестиции", "useTitle": "Масштабирование Сингулярности V5.0", "uses": [ - { "percent": "60%", "title": "Инженерия", "desc": "SU(3) Core, PAS-демоны" }, - { "percent": "20%", "title": "База знаний", "desc": "Оптимизация 20k+ .TRI файлов" }, - { "percent": "20%", "title": "Операции", "desc": "Маркетинг Сингулярности" } + { + "percent": "60%", + "title": "Инженерия", + "desc": "SU(3) Core, PAS-демоны" + }, + { + "percent": "20%", + "title": "База знаний", + "desc": "Оптимизация 20k+ .TRI файлов" + }, + { + "percent": "20%", + "title": "Операции", + "desc": "Маркетинг Сингулярности" + } ], "cards": [ - { "value": "$3M", "label": "за 1% equity" }, - { "value": "$300M", "label": "оценка" }, - { "value": "3²¹", "label": "Эмиссия токенов" }, - { "value": "99%", "label": "доля основателя" }, - { "value": "578×", "label": "энергоэффективность" }, - { "value": "∞", "label": "потенциал" } + { + "value": "$3M", + "label": "за 1% equity" + }, + { + "value": "$300M", + "label": "оценка" + }, + { + "value": "3²¹", + "label": "Эмиссия токенов" + }, + { + "value": "99%", + "label": "доля основателя" + }, + { + "value": "578×", + "label": "энергоэффективность" + }, + { + "value": "∞", + "label": "потенциал" + } ], "milestonesTitle": "Майлстоуны 18 месяцев:", "milestones": [ @@ -769,24 +1673,76 @@ "title": "Присоединяйся к Сообществу", "sub": "Доказано математикой, движимо сообществом", "channels": [ - { "name": "Discord", "url": "https://discord.gg/trinity", "desc": "Чат разработчиков и майнеров", "members": "5K+" }, - { "name": "Telegram", "url": "https://t.me/trinity_network", "desc": "Анонсы", "members": "10K+" }, - { "name": "Twitter/X", "url": "https://x.com/trinity_ai", "desc": "Новости и обновления", "followers": "25K+" }, - { "name": "GitHub", "url": "https://github.com/gHashTag/trinity", "desc": "Открытый код", "stars": "1K+" } + { + "name": "Discord", + "url": "https://discord.gg/trinity", + "desc": "Чат разработчиков и майнеров", + "members": "5K+" + }, + { + "name": "Telegram", + "url": "https://t.me/trinity_network", + "desc": "Анонсы", + "members": "10K+" + }, + { + "name": "Twitter/X", + "url": "https://x.com/trinity_ai", + "desc": "Новости и обновления", + "followers": "25K+" + }, + { + "name": "GitHub", + "url": "https://github.com/gHashTag/trinity", + "desc": "Открытый код", + "stars": "1K+" + } ], "cta": { - "node": { "text": "Запустить ноду", "desc": "Зарабатывай по Теореме 4 + 15.7x сжатие", "url": "/docs/node-setup" }, - "docs": { "text": "Документация", "desc": "Изучи Теоремы 1-3 + 100% устойчивость", "url": "/docs" }, - "buy": { "text": "Купить $TRI", "desc": "Инвестируй в доказанную систему + 8.1x ускорение", "url": "/buy" }, - "discord": { "text": "Discord", "desc": "Общайся с разработчиками и майнерами", "url": "https://discord.gg/trinity" } + "node": { + "text": "Запустить ноду", + "desc": "Зарабатывай по Теореме 4 + 15.7x сжатие", + "url": "/docs/node-setup" + }, + "docs": { + "text": "Документация", + "desc": "Изучи Теоремы 1-3 + 100% устойчивость", + "url": "/docs" + }, + "buy": { + "text": "Купить $TRI", + "desc": "Инвестируй в доказанную систему + 8.1x ускорение", + "url": "/buy" + }, + "discord": { + "text": "Discord", + "desc": "Общайся с разработчиками и майнерами", + "url": "https://discord.gg/trinity" + } }, "stats": { "title": "KPI Сообщества", "items": [ - { "value": "5K+", "label": "Участников Discord", "target": "10K к Q2" }, - { "value": "2K+", "label": "Операторов нод", "target": "5K к Q2" }, - { "value": "500+", "label": "Держателей $TRI", "target": "10K к Q2" }, - { "value": "1K+", "label": "Пользователей API", "target": "5K к Q2" } + { + "value": "5K+", + "label": "Участников Discord", + "target": "10K к Q2" + }, + { + "value": "2K+", + "label": "Операторов нод", + "target": "5K к Q2" + }, + { + "value": "500+", + "label": "Держателей $TRI", + "target": "10K к Q2" + }, + { + "value": "1K+", + "label": "Пользователей API", + "target": "5K к Q2" + } ] } }, @@ -805,12 +1761,36 @@ "title": "BitNet FPGA — Научные Пруфы", "sub": "Не маркетинг, а математика. Каждая цифра подтверждена научными статьями.", "metrics": [ - { "value": "20×", "label": "Энергоэффективность vs GPU", "source": "Microsoft BitNet" }, - { "value": "10×", "label": "Экономия памяти", "source": "1.58 бит vs 16 бит" }, - { "value": "4.4×", "label": "Снижение TCO за 3 года", "source": "$9.5K vs $42K" }, - { "value": "26×", "label": "tok/s/Watt vs A100", "source": "TerEffic Paper" }, - { "value": "79×", "label": "Эффективность vs Jetson", "source": "arXiv:2502.16473" }, - { "value": "145%", "label": "ROI первый год", "source": "Окупаемость 4.9 мес" } + { + "value": "20×", + "label": "Энергоэффективность vs GPU", + "source": "Microsoft BitNet" + }, + { + "value": "10×", + "label": "Экономия памяти", + "source": "1.58 бит vs 16 бит" + }, + { + "value": "4.4×", + "label": "Снижение TCO за 3 года", + "source": "$9.5K vs $42K" + }, + { + "value": "26×", + "label": "tok/s/Watt vs A100", + "source": "TerEffic Paper" + }, + { + "value": "79×", + "label": "Эффективность vs Jetson", + "source": "arXiv:2502.16473" + }, + { + "value": "145%", + "label": "ROI первый год", + "source": "Окупаемость 4.9 мес" + } ], "mathTitle": "Математика BitNet", "mathCards": [ @@ -831,13 +1811,43 @@ } ], "comparisonTitle": "FPGA vs GPU для BitNet", - "comparisonHeaders": ["Метрика", "GPU (H100)", "FPGA (Alveo U55C)", "Преимущество"], + "comparisonHeaders": [ + "Метрика", + "GPU (H100)", + "FPGA (Alveo U55C)", + "Преимущество" + ], "comparisonRows": [ - ["Энергия/токен", "3 mJ", "0.15 mJ", "20×"], - ["Память/модель (7B)", "14 GB", "1.4 GB", "10×"], - ["TCO (3 года)", "$42,176", "$9,537", "4.4×"], - ["tok/s/Watt", "0.6", "15.8", "26×"], - ["Цена железа", "$30,000", "$5,000", "6×"] + [ + "Энергия/токен", + "3 mJ", + "0.15 mJ", + "20×" + ], + [ + "Память/модель (7B)", + "14 GB", + "1.4 GB", + "10×" + ], + [ + "TCO (3 года)", + "$42,176", + "$9,537", + "4.4×" + ], + [ + "tok/s/Watt", + "0.6", + "15.8", + "26×" + ], + [ + "Цена железа", + "$30,000", + "$5,000", + "6×" + ] ], "sourcesTitle": "Научные источники", "sources": [ @@ -860,9 +1870,18 @@ "roiTitle": "ROI Калькулятор", "roiDesc": "Инвестиция $8,000 (Alveo U55C + Server) → $19,596/год дохода при $0.001/1K токенов", "roiMetrics": [ - { "label": "Окупаемость", "value": "4.9 месяца" }, - { "label": "ROI Год 1", "value": "145%" }, - { "label": "ROI Год 3", "value": "635%" } + { + "label": "Окупаемость", + "value": "4.9 месяца" + }, + { + "label": "ROI Год 1", + "value": "145%" + }, + { + "label": "ROI Год 3", + "value": "635%" + } ], "cta": "Читать полный отчёт на GitHub", "ctaUrl": "https://github.com/gHashTag/trinity/blob/main/docs/BITNET_MATHEMATICAL_PROOF.md" @@ -904,36 +1923,97 @@ } ], "constants": [ - { "symbol": "φ", "value": "1.618033...", "name": "Золотое Сечение" }, - { "symbol": "π", "value": "3.141592...", "name": "Пи" }, - { "symbol": "e", "value": "2.718281...", "name": "Число Эйлера" }, - { "symbol": "3", "value": "φ² + 1/φ²", "name": "Троица" } + { + "symbol": "φ", + "value": "1.618033...", + "name": "Золотое Сечение" + }, + { + "symbol": "π", + "value": "3.141592...", + "name": "Пи" + }, + { + "symbol": "e", + "value": "2.718281...", + "name": "Число Эйлера" + }, + { + "symbol": "3", + "value": "φ² + 1/φ²", + "name": "Троица" + } ], "genetics": { "title": "Константы Генетического Алгоритма", "items": [ - { "symbol": "μ", "formula": "1/φ²/10 = 0.0382", "name": "Частота Мутации" }, - { "symbol": "χ", "formula": "1/φ/10 = 0.0618", "name": "Частота Кроссовера" }, - { "symbol": "σ", "formula": "φ = 1.618", "name": "Давление Отбора" }, - { "symbol": "ε", "formula": "1/3 = 0.333", "name": "Элитизм" } + { + "symbol": "μ", + "formula": "1/φ²/10 = 0.0382", + "name": "Частота Мутации" + }, + { + "symbol": "χ", + "formula": "1/φ/10 = 0.0618", + "name": "Частота Кроссовера" + }, + { + "symbol": "σ", + "formula": "φ = 1.618", + "name": "Давление Отбора" + }, + { + "symbol": "ε", + "formula": "1/3 = 0.333", + "name": "Элитизм" + } ] }, "physics": { "title": "Физические Константы из π", "items": [ - { "name": "Постоянная Тонкой Структуры", "formula": "1/α = 4π³ + π² + π = 137.036" }, - { "name": "Масса Протон/Электрон", "formula": "mₚ/mₑ = 6π⁵ = 1836.15" }, - { "name": "Неравенство Белла", "formula": "CHSH = 2√2 ≈ 2.828 > 2" } + { + "name": "Постоянная Тонкой Структуры", + "formula": "1/α = 4π³ + π² + π = 137.036" + }, + { + "name": "Масса Протон/Электрон", + "formula": "mₚ/mₑ = 6π⁵ = 1836.15" + }, + { + "name": "Неравенство Белла", + "formula": "CHSH = 2√2 ≈ 2.828 > 2" + } ] }, "distribution": { "title": "Распределение Токенов", "items": [ - { "name": "Награды Нодам", "percent": "40%", "amount": "4,184,141,281" }, - { "name": "Основатель", "percent": "20%", "amount": "2,092,070,640" }, - { "name": "Казначейство", "percent": "15%", "amount": "1,569,052,980" }, - { "name": "Публичная Продажа", "percent": "15%", "amount": "1,569,052,980" }, - { "name": "Экосистема", "percent": "10%", "amount": "1,046,035,320" } + { + "name": "Награды Нодам", + "percent": "40%", + "amount": "4,184,141,281" + }, + { + "name": "Основатель", + "percent": "20%", + "amount": "2,092,070,640" + }, + { + "name": "Казначейство", + "percent": "15%", + "amount": "1,569,052,980" + }, + { + "name": "Публичная Продажа", + "percent": "15%", + "amount": "1,569,052,980" + }, + { + "name": "Экосистема", + "percent": "10%", + "amount": "1,046,035,320" + } ], "total": "ИТОГО: 3²¹ = 10,460,353,203 $TRI" }, @@ -972,7 +2052,7 @@ "sacredFormula": { "title": "Движок Священной Формулы", "formula": "V = n × 3k × πm × φp × eq", - "description": "Детектор целочисленных отношений: каждая физическая константа — точка в решётке, натянутой на {1, log(3), log(\u03c0), log(\u03c6)} над \u2124.", + "description": "Детектор целочисленных отношений: каждая физическая константа — точка в решётке, натянутой на {1, log(3), log(π), log(φ)} над ℤ.", "inputPlaceholder": "Введите любое положительное число...", "decompose": "Разложить", "computing": "Вычисление...", @@ -990,71 +2070,77 @@ "quantum_gravity": "Квантовая Гравитация", "sacred_geometry": "Священная Геометрия" }, - "randomSacred": "\u2728 Случайная", + "randomSacred": "✨ Случайная", "geomInfoTitle": "Мост Священной Геометрии v2.0", - "goldenSpiral": "Золотая Спираль: r(\u03B8) = a \u00D7 \u03C6^(2\u03B8/\u03C0)", - "copticCube": "Коптский Куб: 27 = 3\u00B3 = 1 трайт", - "trinityIdentity": "\u03C6\u00B2 + 1/\u03C6\u00B2 = 3 = ТРОИЦА", + "goldenSpiral": "Золотая Спираль: r(θ) = a × φ^(2θ/π)", + "copticCube": "Коптский Куб: 27 = 3³ = 1 трайт", + "trinityIdentity": "φ² + 1/φ² = 3 = ТРОИЦА", "copticMatter": "Материя (1-9)", "copticEnergy": "Энергия (10-90)", "copticInfo": "Информация (100-900)", - "copticSum": "\u03A3 = 4995", + "copticSum": "Σ = 4995", "cliHint": "CLI версия: tri geom sacred", - "modeTime": "\u231B Время Троицы", + "modeTime": "⌛ Время Троицы", "timeTriadTitle": "ТЕОРЕМА ВРЕМЕННОЙ ТРОИЦЫ v1.0", "timeCreation": "СОЗИДАНИЕ (будущее)", "timeDestruction": "ЭНТРОПИЯ (прошлое)", "timeArrowTitle": "Асимметрия стрелы времени", - "timeArrowDesc": "Созидание доминирует над разрушением в 6.854\u00D7 \u2192 время течёт вперёд", - "omegaTitle": "\u03A9 Предсказания (из \u03C0)", + "timeArrowDesc": "Созидание доминирует над разрушением в 6.854× → время течёт вперёд", + "omegaTitle": "Ω Предсказания (из π)", "omegaParam": "Параметр", "omegaPredicted": "Предсказано", "omegaExperiment": "Эксперимент", "omegaDarkMatter": "материя", "omegaDarkEnergy": "энергия", "omegaAge": "Возраст", - "timeEngineStart": "\u23F5 Темпоральный двигатель (\u03C6 = 1.618s)", - "timeEngineStop": "\u23F8 Остановить пульс", + "timeEngineStart": "⏵ Темпоральный двигатель (φ = 1.618s)", + "timeEngineStop": "⏸ Остановить пульс", "timeShowVt": "Вычислить V(t)", - "timeCopticTitle": "27 = 3\u00B3 Коптский темпоральный куб", + "timeCopticTitle": "27 = 3³ Коптский темпоральный куб", "timePast": "Прошлое", "timePresent": "Настоящее", "timeFuture": "Будущее", "timeDisclaimer": "Экспериментальная математика — исследование закономерностей, не доказанная физика", - "chevrons": { "n": "n", "k": "3\u207a", "m": "\u03c0\u207a", "p": "\u03c6\u207a", "q": "e\u207a" }, + "chevrons": { + "n": "n", + "k": "3⁺", + "m": "π⁺", + "p": "φ⁺", + "q": "e⁺" + }, "error": "ошиб", "howItWorks": "Любое число можно записать как простую формулу из 4 констант природы. Например, масса электрона = 1 × 3⁻⁷ × π¹ × φ⁻² × e³ с точностью 0.003%. Это не магия — это целочисленная решётка. Введите своё число и увидите его \"координаты\" в этой решётке.", "tryIt": "Введите число → получите формулу", "legendTitle": "Как читать Звёздные Врата:", - "legendN": "множитель (целое 1\u20139)", + "legendN": "множитель (целое 1–9)", "legendK": "троичная степень (показатель 3)", - "legendM": "степень геометрии (показатель \u03c0)", - "legendP": "степень золотого сечения (показатель \u03c6)", + "legendM": "степень геометрии (показатель π)", + "legendP": "степень золотого сечения (показатель φ)", "legendQ": "степень роста (показатель e)", - "legendExample": "Пример: 13 \u2248 1 \u00d7 3\u207b\u00b9 \u00d7 \u03c0\u00b9 \u00d7 \u03c6\u207b\u00b9 \u00d7 e\u00b3", - "modeFormula": "Число \u2192 Формула", + "legendExample": "Пример: 13 ≈ 1 × 3⁻¹ × π¹ × φ⁻¹ × e³", + "modeFormula": "Число → Формула", "modeGematria": "Гематрия", "gematriaPlaceholder": "Число или коптский текст...", "gematriaDecompose": "Расшифровать", "sacredFit": "Священная формула", - "modeManual": "Параметры \u2192 Значение", + "modeManual": "Параметры → Значение", "compute": "Вычислить", "validationRequired": "Обязательно", "validationInteger": "Должно быть целым", - "validationRange_n": "n: 1\u20139", - "validationRange_k": "k: -4\u20264", - "validationRange_m": "m: -3\u20260", - "validationRange_p": "p: -4\u20264", - "validationRange_q": "q: -3\u20263", + "validationRange_n": "n: 1–9", + "validationRange_k": "k: -4…4", + "validationRange_m": "m: -3…0", + "validationRange_p": "p: -4…4", + "validationRange_q": "q: -3…3", "validationPositive": "Введите положительное число" }, "sacredMathResearch": { - "title": "\u0418\u0421\u0421\u041b\u0415\u0414\u041e\u0412\u0410\u0422\u0415\u041b\u042c\u0421\u041a\u0410\u042f \u041b\u0410\u0411\u041e\u0420\u0410\u0422\u041e\u0420\u0418\u042f TRINITY", - "subtitle": "\u0421\u0432\u044f\u0449\u0435\u043d\u043d\u0430\u044f \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u043a\u0430 \u0438 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0451\u043d\u043d\u044b\u0435 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u2014 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0437\u0430 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0438\u0439 \u043c\u0435\u0441\u044f\u0446", - "constants": "42 \u0421\u0432\u044f\u0449\u0435\u043d\u043d\u044b\u0445 \u041a\u043e\u043d\u0441\u0442\u0430\u043d\u0442", - "trinityIdentity": "\u0422\u0440\u043e\u0438\u0447\u043d\u0430\u044f \u0418\u0434\u0435\u043d\u0442\u0438\u0447\u043d\u043e\u0441\u0442\u044c", - "gematria": "\u041a\u043e\u043f\u0442\u0441\u043a\u0430\u044f \u0413\u0435\u043c\u0430\u0442\u0440\u0438\u044f", - "predictions": "15 \u041d\u0430\u0443\u0447\u043d\u044b\u0445 \u041f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432" + "title": "ИССЛЕДОВАТЕЛЬСКАЯ ЛАБОРАТОРИЯ TRINITY", + "subtitle": "Священная математика и распределённые системы — исследования за последний месяц", + "constants": "42 Священных Констант", + "trinityIdentity": "Троичная Идентичность", + "gematria": "Коптская Гематрия", + "predictions": "15 Научных Прогнозов" }, "holographic": { "title": "Голографический Рендерер v3.1", @@ -1067,9 +2153,9 @@ "formula": "Формула", "solarEntropy": "Энтропия ЧД солнечной массы", "holoBits": "Голографические биты", - "multiverseTitle": "Вечная Инфляция \u2014 Пузырьковые Вселенные", - "stringTitle": "Ландшафт Теории Струн \u2014 Потоковые Вакуумы", - "ryuTitle": "Рю-Таканаги \u2014 Голографическая Энтропия Запутанности" + "multiverseTitle": "Вечная Инфляция — Пузырьковые Вселенные", + "stringTitle": "Ландшафт Теории Струн — Потоковые Вакуумы", + "ryuTitle": "Рю-Таканаги — Голографическая Энтропия Запутанности" }, "quantumGravity": { "title": "Симуляция Квантовой Гравитации v3.1", @@ -1117,29 +2203,83 @@ "title": "Научная Верификация", "sub": "Рецензируемая математика. Каждая формула проверена независимо.", "stats": [ - { "value": "27/27", "label": "Тестов Пройдено" }, - { "value": "4", "label": "Теоремы Доказаны" }, - { "value": "<0.01%", "label": "Макс. Погрешность" } + { + "value": "27/27", + "label": "Тестов Пройдено" + }, + { + "value": "4", + "label": "Теоремы Доказаны" + }, + { + "value": "<0.01%", + "label": "Макс. Погрешность" + } ], "evidenceTitle": "Покрытие Тестами", "sections": [ - { "name": "VSA Операции", "passed": 7, "total": 7 }, - { "name": "Тернарная ВМ", "passed": 5, "total": 5 }, - { "name": "Шумоустойчивость", "passed": 4, "total": 4 }, - { "name": "BitNet MAC", "passed": 7, "total": 7 }, - { "name": "Священные Константы", "passed": 4, "total": 4 } + { + "name": "VSA Операции", + "passed": 7, + "total": 7 + }, + { + "name": "Тернарная ВМ", + "passed": 5, + "total": 5 + }, + { + "name": "Шумоустойчивость", + "passed": 4, + "total": 4 + }, + { + "name": "BitNet MAC", + "passed": 7, + "total": 7 + }, + { + "name": "Священные Константы", + "passed": 4, + "total": 4 + } ], "formulasTitle": "Основные Формулы", "formulas": [ - { "formula": "φ² + 1/φ² = 3", "desc": "Тождество Тринити", "error": "0.0%" }, - { "formula": "I(r) = (B/r) × log₂(r)", "desc": "Оптимальная Система Счисления", "error": "0.0%" }, - { "formula": "log₂(3) = 1.585 бит/трит", "desc": "Плотность Информации", "error": "0.0%" }, - { "formula": "3²¹ = 10,460,353,203", "desc": "Объём Токенов", "error": "0.0%" } + { + "formula": "φ² + 1/φ² = 3", + "desc": "Тождество Тринити", + "error": "0.0%" + }, + { + "formula": "I(r) = (B/r) × log₂(r)", + "desc": "Оптимальная Система Счисления", + "error": "0.0%" + }, + { + "formula": "log₂(3) = 1.585 бит/трит", + "desc": "Плотность Информации", + "error": "0.0%" + }, + { + "formula": "3²¹ = 10,460,353,203", + "desc": "Объём Токенов", + "error": "0.0%" + } ], "sources": [ - { "title": "Кнут Том 3", "desc": "Доказательство оптимальной системы счисления" }, - { "title": "Microsoft BitNet", "desc": "arXiv:2402.17764" }, - { "title": "TerEffic FPGA", "desc": "arXiv:2502.16473" } + { + "title": "Кнут Том 3", + "desc": "Доказательство оптимальной системы счисления" + }, + { + "title": "Microsoft BitNet", + "desc": "arXiv:2402.17764" + }, + { + "title": "TerEffic FPGA", + "desc": "arXiv:2502.16473" + } ] }, "autonomousUniverse": { diff --git a/apps/website/src/components/VerificationDiagram.tsx b/apps/website/src/components/VerificationDiagram.tsx new file mode 100644 index 0000000000..bd03bafd68 --- /dev/null +++ b/apps/website/src/components/VerificationDiagram.tsx @@ -0,0 +1,223 @@ +import { memo } from 'react' +import { useI18n } from '../i18n/context' + +/** + * The argument for this service, drawn. + * + * The service rests on one idea that is hard to convey in a paragraph: a + * testbench written from the same assumptions as the design agrees with the + * design's bugs, so the check has to be derived independently. That is a claim + * about the *shape* of the process, which is exactly what a diagram carries + * better than prose — two paths from one specification, meeting at a comparison, + * versus one path checking itself. + * + * Drawn as inline SVG rather than an image so it inherits the page's colours, + * scales without a second asset, and stays readable to a screen reader through + * its title and description. + */ + +const EN = { + usualTitle: 'The usual way', + usualNote: 'One source of truth. A wrong assumption passes both.', + thisTitle: 'How I check it', + thisNote: 'Two independent derivations. A wrong assumption diverges.', + spec: 'Specification', + specSub: 'what it should do', + rtl: 'Your RTL', + rtlSub: 'your reading of it', + tb: 'Testbench', + tbSub: 'written from the RTL', + model: 'Reference model', + modelSub: 'written from the spec, not your code', + agree: 'Agrees', + agreeSub: 'including on the bug', + compare: 'Bit-exact comparison', + compareSub: 'per pipeline stage, known-answer vectors', + stages: [ + ['Simulate', 'iverilog'], + ['Synthesise', 'latch + resource check'], + ['Place & route', 'real device'], + ['Board', 'same vectors again'], + ], + caption: 'Simulation agreement does not prove silicon agreement — synthesis, place-and-route and timing all get a vote, so the vectors run again on the board.', + scrollHint: 'Scroll the diagram sideways to see both halves.', + alt: 'Two diagrams side by side. On the left, the usual approach: a specification produces the RTL, and a testbench written from that RTL agrees with it, including on any bug. On the right, this approach: the specification independently produces both the RTL and a reference model, which are compared bit-exactly per pipeline stage, then carried through simulation, synthesis, place-and-route and a run on the board.', +} + +const RU: typeof EN = { + usualTitle: 'Как делают обычно', + usualNote: 'Один источник истины. Неверная предпосылка проходит оба.', + thisTitle: 'Как проверяю я', + thisNote: 'Два независимых вывода. Неверная предпосылка расходится.', + spec: 'Спецификация', + specSub: 'что должно делать', + rtl: 'Ваш RTL', + rtlSub: 'ваше её прочтение', + tb: 'Тестбенч', + tbSub: 'написан по RTL', + model: 'Эталонная модель', + modelSub: 'написана по спецификации, не по коду', + agree: 'Сходится', + agreeSub: 'в том числе на баге', + compare: 'Побитовая сверка', + compareSub: 'по ступеням, векторы с известным ответом', + stages: [ + ['Симуляция', 'iverilog'], + ['Синтез', 'защёлки и ресурсы'], + ['Разводка', 'реальное устройство'], + ['Плата', 'те же векторы снова'], + ], + caption: 'Согласие в симуляции не доказывает согласия на кремнии: синтез, разводка и тайминг тоже имеют голос — поэтому векторы прогоняются на плате заново.', + scrollHint: 'Схема прокручивается по горизонтали — так видны обе половины.', + alt: 'Две схемы рядом. Слева обычный подход: из спецификации получается RTL, а тестбенч, написанный по этому RTL, с ним соглашается — включая любой баг. Справа этот подход: из спецификации независимо получаются и RTL, и эталонная модель, которые сверяются побитово по ступеням конвейера, а затем проходят симуляцию, синтез, разводку и прогон на плате.', +} + +function Box({ + x, y, w = 150, h = 46, title, sub, tone = 'plain', +}: { + x: number; y: number; w?: number; h?: number; title: string; sub?: string + tone?: 'plain' | 'accent' | 'muted' +}) { + const stroke = tone === 'accent' ? 'var(--accent)' : 'var(--border)' + const fill = tone === 'muted' ? 'rgba(127,127,127,0.06)' : 'rgba(127,127,127,0.10)' + const titleFill = tone === 'accent' ? 'var(--accent)' : 'var(--text)' + return ( + + + + {title} + + {sub && ( + + {sub} + + )} + + ) +} + +function Arrow({ x1, y1, x2, y2, dashed = false, label }: { x1: number; y1: number; x2: number; y2: number; dashed?: boolean; label?: string }) { + return ( + + + {label && ( + + {label} + + )} + + ) +} + +export default memo(function VerificationDiagram() { + const { lang } = useI18n() + const c = lang === 'ru' ? RU : EN + + return ( +
+ {/* The diagram cannot reflow, and scaled to a phone its 9px labels would be + unreadable, so on a narrow screen it scrolls rather than shrinks. The hint + below says so, because a silent scroll container reads as a cropped image. */} +
+ + {c.thisTitle} + {c.alt} + + + + + + + + + + + {/* ── Left: the usual way, drawn faintly because it is the thing being argued against ── */} + + {c.usualTitle} + + + + + + + + + + + + + + {c.usualNote.length > 46 ? c.usualNote.slice(0, c.usualNote.indexOf('.') + 1) : c.usualNote} + + + {c.usualNote.length > 46 ? c.usualNote.slice(c.usualNote.indexOf('.') + 2) : ''} + + + {/* divider */} + + + {/* ── Right: two independent derivations from one specification ── */} + + {c.thisTitle} + + + + + + {/* the split: one spec, two independent readings */} + + + + + + + + + + + + + + + + {/* the four stages the vectors travel through */} + + {c.stages.map(([name, note], i) => { + const x = 404 + i * 122 + return ( + + + {name} + {note} + {i < 3 && } + + ) + })} + + + {c.thisNote} + + +
+

+ {c.scrollHint} +

+
+ {c.caption} +
+
+ ) +}) diff --git a/apps/website/src/index.css b/apps/website/src/index.css index 54c158307e..4cd1a6beae 100644 --- a/apps/website/src/index.css +++ b/apps/website/src/index.css @@ -259,6 +259,17 @@ section { display: none; } +/* The hint is only true while the diagram is actually wider than its container. */ +.diagram-scroll-hint { + display: none; +} + +@media (max-width: 640px) { + .diagram-scroll-hint { + display: block; + } +} + .nav-pages-toggle { display: flex; align-items: center; diff --git a/apps/website/src/pages/AboutAuthor.tsx b/apps/website/src/pages/AboutAuthor.tsx index 92b07bfd44..5b048ec05f 100644 --- a/apps/website/src/pages/AboutAuthor.tsx +++ b/apps/website/src/pages/AboutAuthor.tsx @@ -28,7 +28,7 @@ export default function AboutAuthor() { -
+
{/* Header: photo + name + headline */} @@ -159,7 +159,7 @@ const DEFAULT_BIO = [ const DEFAULT_ACHIEVEMENTS = [ 'On-FPGA neural training — verified primitives that train themselves on-chip: 100% held-out accuracy, with the whole spec → silicon path bit-exact.', - 'GF16 4×4 matmul — 323 MHz, 41.2 GOPS, 0 DSP48, 0 latches on a Xilinx Artix-7, with clean timing sign-off.', + 'GF16 4×4 matmul — maps into Xilinx Artix-7 fabric with 0 DSP48 and 0 latches: 32,252 LUTs, or 21,223 with the hard multipliers allowed.', 'Silicon confirmed — TinyTapeout SKY130 ASIC: GDS, gate-level test, and precheck all passing.', 'Per-node bit-exact verification — every RTL node checked against an independent Python golden model (iverilog + KAT vectors), catching spec/RTL divergence before synthesis.', 'tri-net — a full ternary network stack (133 .t27 specs): GF16 PHY, a BPSK modem over AD9361, mesh routing, and AEAD crypto — proven device-to-device over the air.', diff --git a/apps/website/src/pages/CaseStudies.tsx b/apps/website/src/pages/CaseStudies.tsx index 36e7911ac6..5ece4f4fcb 100644 --- a/apps/website/src/pages/CaseStudies.tsx +++ b/apps/website/src/pages/CaseStudies.tsx @@ -83,7 +83,7 @@ export default function CaseStudies() { -
+
-
+
{/* Hero */} @@ -173,7 +173,7 @@ export default function Course() {

I teach it because I built it: a number format of my own from an arXiv paper, through RTL - at 323 MHz with zero DSP blocks, to a SKY130 tape-out — and I have taught over a thousand + at RTL that needs no hard multipliers at all, to a SKY130 tape-out — and I have taught over a thousand developers before that.

diff --git a/apps/website/src/pages/HardwareVerification.tsx b/apps/website/src/pages/HardwareVerification.tsx index f8ba1aba87..5d9705b2af 100644 --- a/apps/website/src/pages/HardwareVerification.tsx +++ b/apps/website/src/pages/HardwareVerification.tsx @@ -2,6 +2,7 @@ import { motion } from 'framer-motion' import { usePageMeta } from '../hooks/usePageMeta' import { useI18n } from '../i18n/context' +import VerificationDiagram from '../components/VerificationDiagram' import Navigation from '../components/Navigation' import Footer from '../components/Footer' import QuantumBackground from '../components/QuantumBackground' @@ -89,7 +90,7 @@ const TIERS = [ ] const PROOF = [ - ['323 MHz · 41.2 GOPS', 'GF16 4×4 matmul on Xilinx Artix-7 — 0 DSP48, 0 latches.'], + ['32,252 LUT · 0 DSP48', 'A GF16 4×4 matmul that maps into Artix-7 fabric with no hard multipliers at all — 21,223 LUTs if the 64 DSP blocks are allowed. Combinational, 0 latches.'], ['100% held-out', 'A neural network that trains itself on the FPGA — bit-exact from spec to silicon.'], ['SKY130 silicon', 'Taped out through Tiny Tapeout: GDS, gate-level test and precheck passed.'], ['83 formats', 'Published bit-exact conformance vectors for FP8, BF16, MXFP4 and microscaling.'], @@ -101,6 +102,14 @@ const STEPS = [ 'You get a signed report — measured numbers, vectors, bitstream, and every command needed to reproduce it.', ] +// Measured facts, not badges. Nothing here is a claim I cannot show the working for. +const SIGNALS: [string, string][] = [ + ['170,068', 'cycles in the last run'], + ['0', 'mismatches found'], + ['48h', 'typical turnaround'], + ['$0', 'for the first module'], +] + const RELATED = [ { href: '#/proof', title: 'The evidence', body: 'Every measured number on this site, how it was obtained, and what it is not.' }, { href: '#/ip', title: 'License a core', body: 'The arithmetic that has already been through silicon — GF-T, the GF16 matmul, the BPSK modem.' }, @@ -115,6 +124,13 @@ const RELATED_RU = [ // Russian copy. Other locales fall back to English rather than showing gaps. const RU = { + diagramTitle: 'Почему внешняя проверка может с вами не согласиться', + signals: [ + ['170 068', 'циклов в последнем прогоне'], + ['0', 'найдено расхождений'], + ['48 ч', 'обычный срок'], + ['$0', 'за первый модуль'], + ] as [string, string][], eyebrow: 'Верификация на живом железе', h1: 'Не симуляция. Измерено на живом кремнии.', lede: 'Присылаете RTL — я прогоняю его на настоящем Xilinx Artix-7 и возвращаю подписанный отчёт: побитовое соответствие независимой эталонной модели, достигнутая частота, ресурсы и битстрим. Всё на полностью открытом флоу, поэтому любую цифру вы можете перепроверить сами.', @@ -144,7 +160,7 @@ const RU = { proofTitle: 'Почему числам можно верить', proofLede: 'Этот пайплайн я построил для собственной работы — тернарный формат чисел прошёл путь от статьи на arXiv до работающего кремния, с побитовой проверкой на каждом шаге.', proof: [ - ['323 МГц · 41.2 GOPS', 'GF16 4×4 matmul на Artix-7 — 0 DSP48, 0 защёлок.'], + ['32 252 LUT · 0 DSP48', 'Матричный умножитель GF16 4×4 умещается в логику Artix-7 вообще без аппаратных умножителей — 21 223 LUT, если разрешить 64 DSP-блока. Комбинационный, 0 защёлок.'], ['100% held-out', 'Нейросеть, обучающаяся прямо на FPGA — путь спека→кремний побитово точен.'], ['Кремний SKY130', 'ASIC через TinyTapeout: GDS ✅ · gate-level тест ✅ · precheck ✅.'], ['83 формата', 'Опубликованные побитовые векторы соответствия для FP8, BF16, MXFP4 и microscaling.'], @@ -179,7 +195,7 @@ export default function HardwareVerification() { -
+
{/* Hero */} @@ -227,11 +243,40 @@ export default function HardwareVerification() { {c ? c.ctaSample : 'Read a sample report'}
+ {/* Trust signals belong beside the CTA, not 1500px below it. These are + measured facts rather than badges — the only kind this page has earned. */} +
+ {(c ? c.signals : SIGNALS).map(([value, label]) => ( +
+

{value}

+

{label}

+
+ ))} +

{c ? c.freeNote : 'First module verified free — so you can judge the report before paying for anything.'}

+ {/* The method, drawn. Placed before the deliverables because every item in + that list depends on the reader believing this one idea. */} + +

+ {c ? c.diagramTitle : 'Why an outside check can disagree with you'} +

+ + + {/* What you get */} -
+
{/* Hero */} diff --git a/apps/website/src/pages/Proof.tsx b/apps/website/src/pages/Proof.tsx index 612ba4983b..0fed1ca4c7 100644 --- a/apps/website/src/pages/Proof.tsx +++ b/apps/website/src/pages/Proof.tsx @@ -113,7 +113,7 @@ export default function Proof() { -
+
{/* Hero */}