phoenix-objects / evidence /signals.json
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{
"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"
}
]
}