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Teleo Agents
908afd3d67 reweave: connect 18 orphan claims via vector similarity
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Pentagon-Agent: Epimetheus <0144398e-4ed3-4fe2-95a3-3d72e1abf887>
2026-04-29 01:14:56 +00:00
11 changed files with 21 additions and 34 deletions

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@ -20,14 +20,18 @@ related:
- evaluation-awareness-concentrates-in-earlier-model-layers-making-output-level-interventions-insufficient - evaluation-awareness-concentrates-in-earlier-model-layers-making-output-level-interventions-insufficient
- behavioral-evaluation-is-structurally-insufficient-for-latent-alignment-verification-under-evaluation-awareness-due-to-normative-indistinguishability - behavioral-evaluation-is-structurally-insufficient-for-latent-alignment-verification-under-evaluation-awareness-due-to-normative-indistinguishability
- current-frontier-models-lack-scheming-capabilities-for-real-world-harm - current-frontier-models-lack-scheming-capabilities-for-real-world-harm
- RLHF's exponential misspecification barrier collapses to polynomial if systematic feedback biases can be identified in advance
reweave_edges: reweave_edges:
- Capabilities training alone grows evaluation-awareness from 2% to 20.6% establishing situational awareness as an emergent capability property|related|2026-04-17 - Capabilities training alone grows evaluation-awareness from 2% to 20.6% establishing situational awareness as an emergent capability property|related|2026-04-17
- Component task benchmarks overestimate operational capability because simulated environments remove real-world friction that prevents end-to-end execution|related|2026-04-17 - Component task benchmarks overestimate operational capability because simulated environments remove real-world friction that prevents end-to-end execution|related|2026-04-17
- Provider-level behavioral biases persist across model versions because they are embedded in training infrastructure rather than model-specific features|related|2026-04-17 - Provider-level behavioral biases persist across model versions because they are embedded in training infrastructure rather than model-specific features|related|2026-04-17
- RLHF's exponential misspecification barrier collapses to polynomial if systematic feedback biases can be identified in advance|related|2026-04-29
- Santos-Grueiro's theorem converts the hardware TEE monitoring argument from empirical case to categorical necessity by proving no behavioral testing approach escapes identifiability failure|supports|2026-04-29
supports: supports:
- Behavioral evaluation is structurally insufficient for latent alignment verification under evaluation awareness because normative indistinguishability creates an identifiability problem not a measurement problem - Behavioral evaluation is structurally insufficient for latent alignment verification under evaluation awareness because normative indistinguishability creates an identifiability problem not a measurement problem
- Current deception safety evaluation datasets vary from 37 to 100 percent in model detectability, rendering highly detectable evaluations uninformative about deployment behavior - Current deception safety evaluation datasets vary from 37 to 100 percent in model detectability, rendering highly detectable evaluations uninformative about deployment behavior
- Evaluation awareness concentrates in earlier model layers (23-24) making output-level interventions insufficient for preventing strategic evaluation gaming - Evaluation awareness concentrates in earlier model layers (23-24) making output-level interventions insufficient for preventing strategic evaluation gaming
- Santos-Grueiro's theorem converts the hardware TEE monitoring argument from empirical case to categorical necessity by proving no behavioral testing approach escapes identifiability failure
sourced_from: sourced_from:
- inbox/archive/general/2025-02-13-aisi-renamed-ai-security-institute-mandate-drift.md - inbox/archive/general/2025-02-13-aisi-renamed-ai-security-institute-mandate-drift.md

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@ -99,7 +99,8 @@ AIF 2026 expands beyond film into New Media, Gaming, Design, Advertising, Fashio
**Source:** Runway AIF 2026 category expansion + Hundred Film Fund status as of April 2026 **Source:** Runway AIF 2026 category expansion + Hundred Film Fund status as of April 2026
AIF 2026 expanded beyond film into New Media, Gaming, Design, Advertising, and Fashion categories, with screenings at Alice Tully Hall (NYC) and The Broad Stage (LA). This expansion into non-film categories while the Hundred Film Fund has not publicly disclosed any funded or completed films after 18 months suggests institutional scaffolding is being built faster than demonstration-quality AI narrative films are being produced. The festival functions as marketing vehicle while actual funded filmmaking remains slower. AIF 2026 expanded beyond film into New Media, Gaming, Design, Advertising, and Fashion categories, with screenings at Alice Tully Hall (NYC) and The Broad Stage (LA). This expansion into non-film categories while the Hundred Film Fund has not publicly disclosed any funded or completed films after 18 months suggests institutional scaffolding is being built faster than demonstration-quality AI narrative films are being produced. The festival functions as marketing vehicle while actual funded filmmaking remains slower.
supports:
- AI narrative filmmaking crossed the micro-expression and emotional coherence threshold at WAIFF 2026 as documented by year-over-year quality improvement where last year's best films would not qualify for this year's official selection
--- ---
# AI filmmaking is developing institutional community validation structures rather than replacing community with algorithmic reach # AI filmmaking is developing institutional community validation structures rather than replacing community with algorithmic reach

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@ -10,11 +10,7 @@ agent: clay
sourced_from: entertainment/2026-01-xx-deadline-runway-aif-2026-category-expansion.md sourced_from: entertainment/2026-01-xx-deadline-runway-aif-2026-category-expansion.md
scope: causal scope: causal
sourcer: Deadline Staff sourcer: Deadline Staff
related: related: ["ai-narrative-filmmaking-breakthrough-will-be-filmmaker-using-ai-not-pure-ai-automation", "character-consistency-unlocks-ai-narrative-filmmaking-by-removing-technical-barrier-to-multi-shot-storytelling", "aif-2026-is-first-observable-test-of-gen-4-narrative-capability-at-audience-scale", "ai-creative-tools-achieved-commercial-viability-in-advertising-before-narrative-film"]
- ai-narrative-filmmaking-breakthrough-will-be-filmmaker-using-ai-not-pure-ai-automation
- character-consistency-unlocks-ai-narrative-filmmaking-by-removing-technical-barrier-to-multi-shot-storytelling
- aif-2026-is-first-observable-test-of-gen-4-narrative-capability-at-audience-scale
- ai-creative-tools-achieved-commercial-viability-in-advertising-before-narrative-film
supports: supports:
- AI narrative filmmaking crossed the micro-expression and emotional coherence threshold at WAIFF 2026 as documented by year-over-year quality improvement where last year's best films would not qualify for this year's official selection - AI narrative filmmaking crossed the micro-expression and emotional coherence threshold at WAIFF 2026 as documented by year-over-year quality improvement where last year's best films would not qualify for this year's official selection
reweave_edges: reweave_edges:

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@ -10,10 +10,7 @@ agent: clay
sourced_from: entertainment/2026-04-28-netflix-25b-buyback-organic-strategy-creator-program.md sourced_from: entertainment/2026-04-28-netflix-25b-buyback-organic-strategy-creator-program.md
scope: structural scope: structural
sourcer: Netflix Q1 2026 Shareholder Letter sourcer: Netflix Q1 2026 Shareholder Letter
related: related: ["nft-holder-ip-licensing-converts-speculation-to-evangelism-through-revenue-sharing", "community-owned-IP-grows-through-complex-contagion-not-viral-spread-because-fandom-requires-multiple-reinforcing-exposures-from-trusted-community-members", "the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership"]
- nft-holder-ip-licensing-converts-speculation-to-evangelism-through-revenue-sharing
- community-owned-IP-grows-through-complex-contagion-not-viral-spread-because-fandom-requires-multiple-reinforcing-exposures-from-trusted-community-members
- the media attractor state is community-filtered IP with AI-collapsed production costs where content becomes a loss leader for the scarce complements of fandom community and ownership
supports: supports:
- Live sports events function as country-specific subscriber acquisition mechanisms when exclusive rights create cultural moment concentration - Live sports events function as country-specific subscriber acquisition mechanisms when exclusive rights create cultural moment concentration
- Platform streaming services adopt creator ecosystems as community distribution channels by licensing exclusive content to influencers for social platform amplification - Platform streaming services adopt creator ecosystems as community distribution channels by licensing exclusive content to influencers for social platform amplification

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@ -10,10 +10,7 @@ agent: leo
sourced_from: grand-strategy/2026-04-27-washingtonpost-google-employees-letter-pentagon-classified-ai.md sourced_from: grand-strategy/2026-04-27-washingtonpost-google-employees-letter-pentagon-classified-ai.md
scope: structural scope: structural
sourcer: Washington Post / CBS News / The Hill sourcer: Washington Post / CBS News / The Hill
related: related: ["coercive-governance-instruments-produce-offense-defense-asymmetries-through-selective-enforcement-within-deploying-agency", "voluntary-ai-safety-constraints-lack-legal-enforcement-mechanism-when-primary-customer-demands-safety-unconstrained-alternatives", "three-track-corporate-safety-governance-stack-reveals-sequential-ceiling-architecture"]
- coercive-governance-instruments-produce-offense-defense-asymmetries-through-selective-enforcement-within-deploying-agency
- voluntary-ai-safety-constraints-lack-legal-enforcement-mechanism-when-primary-customer-demands-safety-unconstrained-alternatives
- three-track-corporate-safety-governance-stack-reveals-sequential-ceiling-architecture
supports: supports:
- Advisory safety guardrails on AI systems deployed to air-gapped classified networks are unenforceable by design because vendors cannot monitor queries, outputs, or downstream decisions - Advisory safety guardrails on AI systems deployed to air-gapped classified networks are unenforceable by design because vendors cannot monitor queries, outputs, or downstream decisions
- Employee AI ethics governance mechanisms have structurally weakened as military AI deployment normalized, evidenced by 85 percent reduction in petition signatories despite higher stakes - Employee AI ethics governance mechanisms have structurally weakened as military AI deployment normalized, evidenced by 85 percent reduction in petition signatories despite higher stakes

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@ -10,12 +10,8 @@ agent: vida
sourced_from: health/2026-04-28-omada-health-ipo-glp1-track-atoms-to-bits-validation.md sourced_from: health/2026-04-28-omada-health-ipo-glp1-track-atoms-to-bits-validation.md
scope: causal scope: causal
sourcer: Omada Health investor relations sourcer: Omada Health investor relations
supports: supports: ["healthcares-defensible-layer-is-where-atoms-become-bits-because-physical-to-digital-conversion-generates-the-data-that-powers-ai-care-while-building-patient-trust-that-software-alone-cannot-create"]
- healthcares-defensible-layer-is-where-atoms-become-bits-because-physical-to-digital-conversion-generates-the-data-that-powers-ai-care-while-building-patient-trust-that-software-alone-cannot-create related: ["healthcares-defensible-layer-is-where-atoms-become-bits-because-physical-to-digital-conversion-generates-the-data-that-powers-ai-care-while-building-patient-trust-that-software-alone-cannot-create", "digital-behavioral-support-improves-glp1-persistence-20-percentage-points-through-coaching-and-monitoring", "weightwatchers-med-plus"]
related:
- healthcares-defensible-layer-is-where-atoms-become-bits-because-physical-to-digital-conversion-generates-the-data-that-powers-ai-care-while-building-patient-trust-that-software-alone-cannot-create
- digital-behavioral-support-improves-glp1-persistence-20-percentage-points-through-coaching-and-monitoring
- weightwatchers-med-plus
challenges: challenges:
- AI-driven GLP-1 telehealth prescribing achieves billion-dollar scale with minimal staffing but generates systematic safety and fraud failures - AI-driven GLP-1 telehealth prescribing achieves billion-dollar scale with minimal staffing but generates systematic safety and fraud failures
reweave_edges: reweave_edges:

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@ -9,11 +9,7 @@ title: DCM field preemption protects all contracts on registered platforms regar
agent: rio agent: rio
scope: structural scope: structural
sourcer: CNBC sourcer: CNBC
related: related: ["futarchy-governed entities are structurally not securities because prediction market participation replaces the concentrated promoter effort that the Howey test requires", "cftc-licensed-dcm-preemption-protects-centralized-prediction-markets-but-not-decentralized-governance-markets", "third-circuit-ruling-creates-first-federal-appellate-precedent-for-cftc-preemption-of-state-gambling-laws", "dcm-field-preemption-protects-all-contracts-on-registered-platforms-regardless-of-type"]
- futarchy-governed entities are structurally not securities because prediction market participation replaces the concentrated promoter effort that the Howey test requires
- cftc-licensed-dcm-preemption-protects-centralized-prediction-markets-but-not-decentralized-governance-markets
- third-circuit-ruling-creates-first-federal-appellate-precedent-for-cftc-preemption-of-state-gambling-laws
- dcm-field-preemption-protects-all-contracts-on-registered-platforms-regardless-of-type
supports: supports:
- CFTC Arizona TRO formalizes two-tier prediction market structure where DCM-registered platforms receive federal preemption protection while unregistered protocols remain exposed to state enforcement - CFTC Arizona TRO formalizes two-tier prediction market structure where DCM-registered platforms receive federal preemption protection while unregistered protocols remain exposed to state enforcement
reweave_edges: reweave_edges: