Download evidence/signals.json from gemmozero/phoenix-objects: direct link, hf CLI and curl.
- Browser
- Download file 18.6 kB
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https://huggingface.co/datasets/gemmozero/phoenix-objects/resolve/main/evidence/signals.json
- Command line
-
hf download hf://datasets/gemmozero/phoenix-objects/evidence/signals.json
-
curl -L -o signals.json https://huggingface.co/datasets/gemmozero/phoenix-objects/resolve/main/evidence/signals.json
18.6 kB
| { | |
| "organ": "LEGION-MOTOR-CORTEX", | |
| "updated": "2026-10-03T05:35:01.169251+00:00", | |
| "measured": true, | |
| "signal_count": 51, | |
| "action_classes": { | |
| "routing": 5, | |
| "build_specs": 5, | |
| "feed": 51 | |
| }, | |
| "signals": [ | |
| { | |
| "signal_type": "regulatory_capture_index", | |
| "entity": "nvidia", | |
| "metric_a": "lobby_usd", | |
| "value_a": 3200000.0, | |
| "metric_b": "incidents_2024", | |
| "value_b": 99.0, | |
| "insight": "NVIDIA: $3.2M lobby vs 99 incidents \u2192 capture ratio 0.32", | |
| "strength": 0.0032, | |
| "date": "2026-10-01", | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "regulatory_capture_index", | |
| "entity": "microsoft", | |
| "metric_a": "lobby_usd", | |
| "value_a": 9200000.0, | |
| "metric_b": "incidents_2024", | |
| "value_b": 86.0, | |
| "insight": "Microsoft: $9.2M lobby vs 86 incidents \u2192 capture ratio 1.07", | |
| "strength": 0.010700000000000001, | |
| "date": "2026-10-01", | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "regulatory_capture_index", | |
| "entity": "meta", | |
| "metric_a": "lobby_usd", | |
| "value_a": 9800000.0, | |
| "metric_b": "incidents_2024", | |
| "value_b": 125.0, | |
| "insight": "Meta: $9.8M lobby vs 125 incidents \u2192 capture ratio 0.78", | |
| "strength": 0.0078000000000000005, | |
| "date": "2026-10-01", | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "regulatory_capture_index", | |
| "entity": "google", | |
| "metric_a": "lobby_usd", | |
| "value_a": 12600000.0, | |
| "metric_b": "incidents_2024", | |
| "value_b": 170.0, | |
| "insight": "Google: $12.6M lobby vs 170 incidents \u2192 capture ratio 0.74", | |
| "strength": 0.0074, | |
| "date": "2026-10-01", | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "regulatory_capture_index", | |
| "entity": "amazon", | |
| "metric_a": "lobby_usd", | |
| "value_a": 21200000.0, | |
| "metric_b": "incidents_2024", | |
| "value_b": 34.0, | |
| "insight": "Amazon: $21.2M lobby vs 34 incidents \u2192 capture ratio 6.24", | |
| "strength": 0.062400000000000004, | |
| "date": "2026-10-01", | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "CY", | |
| "metric_a": "12.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "CY: EMERGING \u2014 sovereignty composite 12.0/100 (measured: sovereignty.db)", | |
| "strength": 0.12, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "AU", | |
| "metric_a": "40.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "AU: EMERGING \u2014 sovereignty composite 40.0/100 (measured: sovereignty.db)", | |
| "strength": 0.4, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "CA", | |
| "metric_a": "55.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "CA: COMPETITIVE \u2014 sovereignty composite 55.0/100 (measured: sovereignty.db)", | |
| "strength": 0.55, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "IL", | |
| "metric_a": "52.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "IL: COMPETITIVE \u2014 sovereignty composite 52.0/100 (measured: sovereignty.db)", | |
| "strength": 0.52, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "AE", | |
| "metric_a": "38.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "AE: EMERGING \u2014 sovereignty composite 38.0/100 (measured: sovereignty.db)", | |
| "strength": 0.38, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "SG", | |
| "metric_a": "48.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "SG: EMERGING \u2014 sovereignty composite 48.0/100 (measured: sovereignty.db)", | |
| "strength": 0.48, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "IN", | |
| "metric_a": "42.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "IN: EMERGING \u2014 sovereignty composite 42.0/100 (measured: sovereignty.db)", | |
| "strength": 0.42, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "KR", | |
| "metric_a": "58.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "KR: COMPETITIVE \u2014 sovereignty composite 58.0/100 (measured: sovereignty.db)", | |
| "strength": 0.58, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "JP", | |
| "metric_a": "55.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "JP: COMPETITIVE \u2014 sovereignty composite 55.0/100 (measured: sovereignty.db)", | |
| "strength": 0.55, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "DE", | |
| "metric_a": "49.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "DE: EMERGING \u2014 sovereignty composite 49.0/100 (measured: sovereignty.db)", | |
| "strength": 0.49, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "FR", | |
| "metric_a": "52.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "FR: COMPETITIVE \u2014 sovereignty composite 52.0/100 (measured: sovereignty.db)", | |
| "strength": 0.52, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "GB", | |
| "metric_a": "58.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "GB: COMPETITIVE \u2014 sovereignty composite 58.0/100 (measured: sovereignty.db)", | |
| "strength": 0.58, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "EU", | |
| "metric_a": "45.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "EU: EMERGING \u2014 sovereignty composite 45.0/100 (measured: sovereignty.db)", | |
| "strength": 0.45, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "CN", | |
| "metric_a": "82.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "CN: DOMINANT \u2014 sovereignty composite 82.0/100 (measured: sovereignty.db)", | |
| "strength": 0.82, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "geopolitical_ai_map", | |
| "entity": "US", | |
| "metric_a": "78.0", | |
| "value_a": null, | |
| "metric_b": "0.0", | |
| "value_b": null, | |
| "insight": "US: DOMINANT \u2014 sovereignty composite 78.0/100 (measured: sovereignty.db)", | |
| "strength": 0.78, | |
| "date": null, | |
| "status": null | |
| }, | |
| { | |
| "signal_type": "energy_carbon_synapse", | |
| "entity": "green_stack", | |
| "metric_a": "energy_price_mwh", | |
| "value_a": 37.1, | |
| "metric_b": "co2_per_1k_g", | |
| "value_b": 0.0008, | |
| "insight": "GREEN INFERENCE: Groq Llama 3.1 70B (LPU) (0.0008g CO2/1k tokens, 45.0% renewable) in US-Midwest ($37.1/MWh) = optimal green stack", | |
| "strength": 0.79, | |
| "date": "2026-09-27", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "incidents_regulation_synapse", | |
| "entity": "GB", | |
| "metric_a": "incidents_90d", | |
| "value_a": 1245.0, | |
| "metric_b": "days_to_deadline", | |
| "value_b": 95.0, | |
| "insight": "COMPLIANCE COST: 1245 incidents/90d + 95d to UK AI Safety Institute \u2014 guidelines deadline \u2192 immediate action required for Frontier AI developers", | |
| "strength": 1.0, | |
| "date": "2026-09-27", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "incidents_regulation_synapse", | |
| "entity": "EU", | |
| "metric_a": "incidents_90d", | |
| "value_a": 1245.0, | |
| "metric_b": "days_to_deadline", | |
| "value_b": -56.0, | |
| "insight": "COMPLIANCE COST: 1245 incidents/90d + -56d to EU AI Act \u2014 High-risk systems deadline \u2192 immediate action required for Medical,legal,HR,critical infrastructure", | |
| "strength": 1.0, | |
| "date": "2026-09-27", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "incidents_regulation_synapse", | |
| "entity": "EU", | |
| "metric_a": "incidents_90d", | |
| "value_a": 1245.0, | |
| "metric_b": "days_to_deadline", | |
| "value_b": -345.0, | |
| "insight": "COMPLIANCE COST: 1245 incidents/90d + -345d to NIS2 Directive \u2014 AI systems deadline \u2192 immediate action required for AI in critical infrastructure", | |
| "strength": 1.0, | |
| "date": "2026-09-27", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "incidents_regulation_synapse", | |
| "entity": "EU", | |
| "metric_a": "incidents_90d", | |
| "value_a": 1245.0, | |
| "metric_b": "days_to_deadline", | |
| "value_b": -421.0, | |
| "insight": "COMPLIANCE COST: 1245 incidents/90d + -421d to EU AI Act \u2014 GPAI obligations deadline \u2192 immediate action required for OpenAI,Anthropic,Google,Meta", | |
| "strength": 1.0, | |
| "date": "2026-09-27", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "incidents_regulation_synapse", | |
| "entity": "US", | |
| "metric_a": "incidents_90d", | |
| "value_a": 1245.0, | |
| "metric_b": "days_to_deadline", | |
| "value_b": -620.0, | |
| "insight": "COMPLIANCE COST: 1245 incidents/90d + -620d to US EO 14110 \u2014 Agency reports deadline \u2192 immediate action required for US federal agencies using AI", | |
| "strength": 1.0, | |
| "date": "2026-09-27", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "sovereign_pricing_synapse", | |
| "entity": "GB", | |
| "metric_a": "sovereignty_score", | |
| "value_a": 58.0, | |
| "metric_b": "avg_compute_price", | |
| "value_b": 1.3622, | |
| "insight": "ROUTING SIGNAL: GB sovereignty=58.0/100 \u2014 route sensitive workloads to sovereign-high jurisdictions, standard at avg $1.362/hr", | |
| "strength": 0.58, | |
| "date": "2026-09-27", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "sovereign_pricing_synapse", | |
| "entity": "US", | |
| "metric_a": "sovereignty_score", | |
| "value_a": 78.0, | |
| "metric_b": "avg_compute_price", | |
| "value_b": 1.3622, | |
| "insight": "ROUTING SIGNAL: US sovereignty=78.0/100 \u2014 route sensitive workloads to sovereign-high jurisdictions, standard at avg $1.362/hr", | |
| "strength": 0.78, | |
| "date": "2026-09-27", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "sovereign_pricing_synapse", | |
| "entity": "CN", | |
| "metric_a": "sovereignty_score", | |
| "value_a": 82.0, | |
| "metric_b": "avg_compute_price", | |
| "value_b": 1.3622, | |
| "insight": "ROUTING SIGNAL: CN sovereignty=82.0/100 \u2014 route sensitive workloads to sovereign-high jurisdictions, standard at avg $1.362/hr", | |
| "strength": 0.82, | |
| "date": "2026-09-27", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "risk_energy_synapse", | |
| "entity": "global", | |
| "metric_a": "critical_incidents_30d", | |
| "value_a": 2.0, | |
| "metric_b": "cheapest_energy_mwh", | |
| "value_b": 37.1, | |
| "insight": "INFRA MIGRATION SIGNAL: 2 critical incidents + cheapest energy in US-Midwest ($37.1/MWh) \u2192 migrate compute to US-Midwest for cost+safety optimization", | |
| "strength": 0.82, | |
| "date": "2026-09-27", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "emotional_ai_market", | |
| "entity": "grief_fashion", | |
| "metric_a": "death_ai_projected_2030", | |
| "value_a": 1500000000.0, | |
| "metric_b": "fashion_ai_funding", | |
| "value_b": 91000000.0, | |
| "insight": "Death AI ($1.5B 2030 projection) + Fashion AI ($91M funded) converge on emotional personalization \u2014 same user, same vulnerability, same AI stack", | |
| "strength": 0.72, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "sovereign_ai_vacuum", | |
| "entity": "RU", | |
| "metric_a": "brain_drain_risk", | |
| "value_a": 28000.0, | |
| "metric_b": "salary_ratio", | |
| "value_b": 12.3, | |
| "insight": "RU losing 28,000 AI researchers to AE+EU+US (salary ratio 12.3x) \u2014 creates sovereign AI vacuum \u2192 government investment likely within 2 years", | |
| "strength": 0.95, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "sovereign_ai_vacuum", | |
| "entity": "CN", | |
| "metric_a": "brain_drain_risk", | |
| "value_a": 45000.0, | |
| "metric_b": "salary_ratio", | |
| "value_b": 8.5, | |
| "insight": "CN losing 45,000 AI researchers to US+SG (salary ratio 8.5x) \u2014 creates sovereign AI vacuum \u2192 government investment likely within 2 years", | |
| "strength": 0.95, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "labor_displacement", | |
| "entity": "ai_economy", | |
| "metric_a": "jobs_destroyed_tracked", | |
| "value_a": 277200.0, | |
| "metric_b": "avg_ai_salary_yoy_growth", | |
| "value_b": 16.3, | |
| "insight": "AI destroys 277,200 tracked jobs while AI role salaries grow +16.3% YoY \u2014 bifurcation signal", | |
| "strength": 0.85, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "regulation_trigger", | |
| "entity": "deepfake", | |
| "metric_a": "cross_sector_use", | |
| "value_a": 4.0, | |
| "metric_b": "sectors_affected", | |
| "value_b": 4.0, | |
| "insight": "Deepfake technology now documented in 4 sectors simultaneously: music fraud + election interference + financial crime + identity fraud \u2192 regulatory action within 12 months near-certain (0.91 confidence)", | |
| "strength": 0.91, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "deepfake_convergence", | |
| "entity": "deepfake_ecosystem", | |
| "metric_a": "use_case", | |
| "value_a": 1.0, | |
| "metric_b": "method", | |
| "value_b": 1.0, | |
| "insight": "identity_fraud: Synthetic identity for KYC bypass via deepfake_image \u2014 same toolchain as music_fraud, election_interference, financial_crim", | |
| "strength": 0.8, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "deepfake_convergence", | |
| "entity": "deepfake_ecosystem", | |
| "metric_a": "use_case", | |
| "value_a": 1.0, | |
| "metric_b": "method", | |
| "value_b": 1.0, | |
| "insight": "financial_crime: HK CFO deepfake $25M fraud via deepfake_video \u2014 same toolchain as music_fraud, election_interference, identity_fraud", | |
| "strength": 0.95, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "deepfake_convergence", | |
| "entity": "deepfake_ecosystem", | |
| "metric_a": "use_case", | |
| "value_a": 1.0, | |
| "metric_b": "method", | |
| "value_b": 1.0, | |
| "insight": "election_interference: NH Primary 2024 deepfake robocalls via deepfake_voice \u2014 same toolchain as music_fraud, financial_crime, identity_fraud", | |
| "strength": 0.9, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "deepfake_convergence", | |
| "entity": "deepfake_ecosystem", | |
| "metric_a": "use_case", | |
| "value_a": 1.0, | |
| "metric_b": "method", | |
| "value_b": 1.0, | |
| "insight": "music_fraud: Suno/Udio deepfake music for streaming fraud via deepfake_audio \u2014 same toolchain as election_interference, financial_crime, identity_f", | |
| "strength": 0.7, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "talent_spread", | |
| "entity": "MLOps Engineer", | |
| "metric_a": "p50_usd", | |
| "value_a": 210000.0, | |
| "metric_b": "p90_usd", | |
| "value_b": 420000.0, | |
| "insight": "MLOps Engineer: p50 $210000 vs p90 $420000 \u2014 spread 100% = pressure on AI hiring costs", | |
| "strength": 1.0, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "talent_spread", | |
| "entity": "AI Product Manager", | |
| "metric_a": "p50_usd", | |
| "value_a": 240000.0, | |
| "metric_b": "p90_usd", | |
| "value_b": 500000.0, | |
| "insight": "AI Product Manager: p50 $240000 vs p90 $500000 \u2014 spread 108% = pressure on AI hiring costs", | |
| "strength": 1.0, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "talent_spread", | |
| "entity": "AI Safety Researcher", | |
| "metric_a": "p50_usd", | |
| "value_a": 380000.0, | |
| "metric_b": "p90_usd", | |
| "value_b": 750000.0, | |
| "insight": "AI Safety Researcher: p50 $380000 vs p90 $750000 \u2014 spread 97% = pressure on AI hiring costs", | |
| "strength": 0.97, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "talent_spread", | |
| "entity": "Software Engineer (AI)", | |
| "metric_a": "p50_usd", | |
| "value_a": 290000.0, | |
| "metric_b": "p90_usd", | |
| "value_b": 600000.0, | |
| "insight": "Software Engineer (AI): p50 $290000 vs p90 $600000 \u2014 spread 107% = pressure on AI hiring costs", | |
| "strength": 1.0, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "talent_spread", | |
| "entity": "ML Research Engineer", | |
| "metric_a": "p50_usd", | |
| "value_a": 420000.0, | |
| "metric_b": "p90_usd", | |
| "value_b": 950000.0, | |
| "insight": "ML Research Engineer: p50 $420000 vs p90 $950000 \u2014 spread 126% = pressure on AI hiring costs", | |
| "strength": 1.0, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "carbon_tax_risk", | |
| "entity": "OpenAI", | |
| "metric_a": "co2_per_1k_g", | |
| "value_a": 0.0012, | |
| "metric_b": "renewable_pct", | |
| "value_b": 100.0, | |
| "insight": "GPT-3.5 Turbo: 0.0012g CO2/1k tokens, 100.0% renewable \u2014 carbon exposure 0.0", | |
| "strength": 0.0, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "carbon_tax_risk", | |
| "entity": "Groq", | |
| "metric_a": "co2_per_1k_g", | |
| "value_a": 0.0008, | |
| "metric_b": "renewable_pct", | |
| "value_b": 45.0, | |
| "insight": "Llama 3.1 70B (LPU): 0.0008g CO2/1k tokens, 45.0% renewable \u2014 carbon exposure 0.04", | |
| "strength": 0.0004, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "carbon_tax_risk", | |
| "entity": "Mistral", | |
| "metric_a": "co2_per_1k_g", | |
| "value_a": 0.003, | |
| "metric_b": "renewable_pct", | |
| "value_b": 65.0, | |
| "insight": "Mistral Large: 0.003g CO2/1k tokens, 65.0% renewable \u2014 carbon exposure 0.1", | |
| "strength": 0.001, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "carbon_tax_risk", | |
| "entity": "Meta", | |
| "metric_a": "co2_per_1k_g", | |
| "value_a": 0.025, | |
| "metric_b": "renewable_pct", | |
| "value_b": 78.0, | |
| "insight": "Llama 3.1 405B: 0.025g CO2/1k tokens, 78.0% renewable \u2014 carbon exposure 0.55", | |
| "strength": 0.0055000000000000005, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "carbon_tax_risk", | |
| "entity": "Google", | |
| "metric_a": "co2_per_1k_g", | |
| "value_a": 0.0015, | |
| "metric_b": "renewable_pct", | |
| "value_b": 100.0, | |
| "insight": "Gemini 1.5 Pro: 0.0015g CO2/1k tokens, 100.0% renewable \u2014 carbon exposure 0.0", | |
| "strength": 0.0, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| }, | |
| { | |
| "signal_type": "carbon_tax_risk", | |
| "entity": "Anthropic", | |
| "metric_a": "co2_per_1k_g", | |
| "value_a": 0.0018, | |
| "metric_b": "renewable_pct", | |
| "value_b": 100.0, | |
| "insight": "Claude 3 Sonnet: 0.0018g CO2/1k tokens, 100.0% renewable \u2014 carbon exposure 0.0", | |
| "strength": 0.0, | |
| "date": "2026-09-25", | |
| "status": "DERIVED_SIGNAL" | |
| } | |
| ] | |
| } |