{"schema_version":"1.1","projection":"canonical_current_civilization_stack","canonical":true,"canonicality":"canonical_projection","record_role":"complete_current_world_projection","current_historical_status":"current","epistemic_status":"mixed_explicit_per_record","scope":{"kind":"complete_current_world","complete_current_world":true,"rule":"The current CivilizationSnapshot is the head/synthesis of the latest material transition, not the complete current world. The complete current world is the current CivilizationSnapshot plus the latest canonical LayerStateSnapshot for every active layer."},"as_of":"2026-10-09T04:25:30.000Z","latest_world_scan_at":"2026-10-09T04:25:30.000Z","last_civilization_update_at":"2026-10-09T04:25:30.000Z","temporal_status":{"world_scan_after_civilization_state":false,"recent_events_do_not_imply_transition":true},"civilization":{"snapshot_id":"civ-20261009-ai-verification-bottleneck","as_of":"2026-10-09T04:25:30.000Z","summary":"AI-assisted vulnerability discovery has reached a scale where human verification and remediation are visibly lagging candidate generation in a large open-source security program. Anthropic reports 29,439 candidate findings and 6,123 externally triaged findings as of October 2, with 5,674 confirmed valid; maintainers have already patched a subset and independent project records confirm fixes originating from the program. The shift is real but bounded: it does not show that all AI-generated findings are correct, that remediation is automated, or that human verification has become the dominant bottleneck across every domain.","mapping_mode":"contemporaneous","record_role":"civilization_head_synthesis","current_historical_status":"current_head","canonicality":"canonical","claims":[{"id":"claim-ai-vuln-verification-bottleneck-20261009","statement":"Anthropic's open-source vulnerability program provides concrete evidence that model-generated vulnerability discovery can outpace available human triage capacity, with external review confirming a large share of reviewed findings while remediation remains substantially downstream.","epistemic_status":"supported_inference","confidence":0.96,"uncertainty":"Cross-provider replication, representative unreviewed precision and end-to-end remediation latency remain incomplete.","competing_interpretation":"The throughput gap may be specific to Anthropic's program design and disclosure process rather than a general human-AI bottleneck.","evidence":"https://layer.re/api/v1/evidence/claim-ai-vuln-verification-bottleneck-20261009?type=claim"}]},"layers":[{"slug":"agents","name":"Agents","state_snapshot_id":"state-agents-20261008-persistent-principals","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":"state-agents-20261004-state-infra","summary":"Persistent agents have moved beyond supporting state and application infrastructure toward an explicit organizational-worker architecture. Google documents cloud-persistent memory and context across surfaces, headless access, long-running delegated work, multi-agent orchestration, model choice separated from the persistent agent, and coworker agents with persistent roles and dedicated identities and resources. This is product-architecture evidence, not proof of reliable unsupervised multi-day performance or broad adoption.","directions":["increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-compute","layer-human","layer-identity","layer-models","layer-permissions","layer-software"],"constraints":["cost and operational governance","cross-provider portability","human oversight","long-horizon reliability","rollout and adoption breadth"],"emerging_capabilities":["dynamic sub-agent orchestration","headless agent access","long-running delegated tasks","model-decoupled agent substrate","persistent coworker-agent roles","persistent cross-device agent context"],"uncertainties":["availability scope of all coworker-agent capabilities","degree of human intervention in real deployments","independent reliability of hours-or-days execution"],"confidence":0.95,"last_changed_at":"2026-10-08T19:29:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/agents"},{"slug":"ai","name":"AI","state_snapshot_id":"state-ai-20260930-late","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":"state-ai-20260930-initial","summary":"AI development is coupling more tightly to governance, semiconductor engineering and physical infrastructure: new frontier models are being released through phased access, agent incidents are attracting enforcement, and specialized models are entering chip-design workflows.","directions":["accelerating","increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-agents","layer-chips","layer-compute","layer-governance","layer-models"],"constraints":["agent liability and enforcement","data-access regulation","memory and infrastructure capacity"],"emerging_capabilities":["AI-native semiconductor design","cybersecurity-focused frontier models"],"uncertainties":["outcomes of FTC and EU legal proceedings","practical performance of restricted-access Gemini 4 Argon"],"confidence":0.93,"last_changed_at":"2026-09-30T21:20:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/ai"},{"slug":"chips","name":"Chips","state_snapshot_id":"state-chips-20260930-late","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":"state-chips-20260930-initial","summary":"The chip layer is being pressured from both directions: HBM demand remains above capacity while AI models are moving upstream into semiconductor design itself through specialized EDA-integrated systems.","directions":["accelerating","increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-manufacturing","layer-models","layer-networks","layer-software"],"constraints":["HBM capacity","manufacturing throughput","verification rigor"],"emerging_capabilities":["AI-native EDA workflows","integrated non-Nvidia rack-scale deployments"],"uncertainties":["how quickly AI-assisted design changes tape-out velocity and supply"],"confidence":0.95,"last_changed_at":"2026-09-30T21:20:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/chips"},{"slug":"civilization","name":"Civilization","state_snapshot_id":null,"status":"no_canonical_state_snapshot","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"not_available","supersedes":null,"summary":null,"directions":[],"epistemic_statuses":[],"dependencies":[],"constraints":[],"emerging_capabilities":[],"uncertainties":[],"confidence":null,"last_changed_at":null,"mapping_mode":null,"drilldown":"https://layer.re/api/v1/layers/civilization"},{"slug":"compute","name":"Compute","state_snapshot_id":"state-compute-20261009-pooled-market-access","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":"state-compute-20261002-bull","summary":"Compute access is beginning to extend beyond fixed cloud reservations and dedicated buildout toward dynamically allocated pooled capacity. National Compute's public-sector preview documents an auction-based burst market, VM and Kubernetes allocation interfaces, price feeds and public-research leases on current-generation NVIDIA B300 and AMD MI355X nodes; Vultr confirms capacity contribution to the consortium. This is concrete access-and-orchestration infrastructure, but the broader multi-provider grid's operational megawatts, utilization gains and cross-architecture workload reliability remain unverified.","directions":["increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-chips","layer-networks","layer-research","layer-software"],"constraints":["actual schedulable capacity","cross-site networking","market liquidity","preemption tolerance","provider participation","workload portability"],"emerging_capabilities":["auction-based burst GPU allocation","heterogeneous provider pooling","machine-readable capacity and price interfaces","public-research GPU node leasing"],"uncertainties":["how much of announced capacity is schedulable now","how well jobs move across providers and accelerator types","whether pooled allocation materially reduces frontier-compute scarcity at scale"],"confidence":0.95,"last_changed_at":"2026-10-09T04:05:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/compute"},{"slug":"energy","name":"Energy","state_snapshot_id":"state-energy-20260930-late","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":"state-energy-20260930-initial","summary":"Data-center power demand is now directly entangled with US federal affordability politics, with a Senate procedural vote leaving unresolved who should bear incremental grid-upgrade costs.","directions":["increasing"],"epistemic_statuses":["observed_fact"],"dependencies":["electricity grids","governance","layer-compute"],"constraints":["cost-allocation disputes","grid capacity","ratepayer affordability"],"emerging_capabilities":["large-load cost-allocation frameworks"],"uncertainties":["whether Congress will converge on a mandatory or voluntary framework"],"confidence":0.95,"last_changed_at":"2026-09-30T21:20:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/energy"},{"slug":"game-state","name":"Game state","state_snapshot_id":"state-game-state-20261006-xerabora","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":null,"summary":"Game-state access now has a concrete original-hardware example in xeRAbora: selected PS2 runtime memory is read on-console and streamed to an external evaluator. The implementation remains experimental.","directions":["increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-gaming","layer-open-source","layer-software"],"constraints":["game-specific address definitions","incomplete compatibility","no on-console pointer-chain dereferencing","softcore-only operation"],"emerging_capabilities":["live semantic runtime-state streaming from original console hardware"],"uncertainties":["generalization beyond the documented PS2 implementation"],"confidence":0.92,"last_changed_at":"2026-10-06T07:05:26.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/game-state"},{"slug":"gaming","name":"Gaming","state_snapshot_id":null,"status":"no_canonical_state_snapshot","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"not_available","supersedes":null,"summary":null,"directions":[],"epistemic_statuses":[],"dependencies":[],"constraints":[],"emerging_capabilities":[],"uncertainties":[],"confidence":null,"last_changed_at":null,"mapping_mode":null,"drilldown":"https://layer.re/api/v1/layers/gaming"},{"slug":"geopolitics","name":"Geopolitics","state_snapshot_id":"state-geopolitics-20261004-ai-control","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":null,"summary":"AI competition and governance are increasingly shaped by institutional control over models, compute and policy coordination: the U.S. formalized a national AI coordination role under its intelligence chief, European open-weight capability expanded, and bilateral U.S.-China AI-risk communication entered discussion.","directions":["increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-compute","layer-governance","layer-models","layer-open-source"],"constraints":["accelerator and compute dependence","cross-border trust","uncertain bilateral implementation"],"emerging_capabilities":["formal national AI coordination","potential incident-notification channels","sovereign/local model deployment options"],"uncertainties":["future scope of U.S. AI task-force authority","whether open-weight releases translate into strategic autonomy"],"confidence":0.92,"last_changed_at":"2026-10-04T20:12:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/geopolitics"},{"slug":"governance","name":"Governance","state_snapshot_id":"state-governance-20261006-nyc-oversight","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":"state-governance-20261004-ai-security","summary":"AI governance widened to a concrete municipal oversight episode: New York City completed a public frontier-AI hearing and queued related AI-safety measures for a subsequent Council agenda. The measures remain proposals.","directions":["increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-agents","layer-ai","layer-models","layer-permissions"],"constraints":["draft meeting minutes","legislative follow-through unresolved","municipal jurisdiction","no published action results"],"emerging_capabilities":["formal legislative packaging of AI-safety proposals","subpoena-backed public frontier-AI oversight"],"uncertainties":["whether the bills advance, pass, are amended or implemented"],"confidence":0.95,"last_changed_at":"2026-10-06T07:53:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/governance"},{"slug":"human","name":"Human","state_snapshot_id":"state-human-20261009-verification-throughput","status":"civilization_snapshot_member","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":"state-human-20261004-deployment-capacity","summary":"Human verification capacity is becoming a measurable bottleneck in AI-accelerated software security. Anthropic's open-source pipeline generated 29,439 candidate findings while only 6,123 had reached external human triage by October 2; 5,674 of those were confirmed valid. Independent maintainer release records also show real fixes from the program. The evidence is strong for a verification-throughput constraint, but it is concentrated in one vendor-led cybersecurity program and does not establish the same bottleneck across all AI-assisted knowledge work.","directions":["increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-models","layer-open-source","layer-research","layer-software"],"constraints":["disclosure coordination","expert triage capacity","maintainer attention","safe patch validation","severity calibration"],"emerging_capabilities":["AI-generated vulnerability reports with reproducers and candidate patches","high-throughput machine-assisted security discovery"],"uncertainties":["how quickly disclosed findings convert into deployed fixes","how raw unreviewed scanner precision changes outside selected high-severity samples","how representative Anthropic's pipeline is of other domains and providers"],"confidence":0.95,"last_changed_at":"2026-10-09T04:25:30.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/human"},{"slug":"identity","name":"Identity","state_snapshot_id":"state-identity-20261008-agent-principals","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":"state-identity-20261004-agent-app-context","summary":"Agent identity now has strong production evidence as a first-class principal rather than only a borrowed user context. Google Cloud provides cryptographically attested, lifecycle-bound Agent Identity distinct from human identities and generic service accounts, with GA APIs and authentication brokering; the Gemini coworker architecture then gives persistent organizational agents their own accounts, email, storage and directory presence. Cross-provider portability and universal identity semantics remain unresolved.","directions":["increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-agents","layer-human","layer-permissions","layer-software"],"constraints":["cross-provider portability","external-system identity mapping","principal-to-human delegation semantics","revocation and lifecycle consistency"],"emerging_capabilities":["agent-specific IAM policy","cryptographically attested agent identity","first-class agent principals","identity-bound audit attribution","persistent organizational agent accounts"],"uncertainties":["how agent identity maps across third-party systems and providers","how widely first-class agent principals are adopted outside Google Cloud"],"confidence":0.98,"last_changed_at":"2026-10-08T19:29:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/identity"},{"slug":"manufacturing","name":"Manufacturing","state_snapshot_id":"state-manufacturing-20261002-bull","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":null,"summary":"European supercomputer manufacturing capacity has strengthened through Bull's expanded Angers output, while the resulting systems remain dependent on heterogeneous international component supply.","directions":["increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-chips","layer-compute","layer-networks","supply chains"],"constraints":["accelerator dependence","capital intensity","component supply"],"emerging_capabilities":["greater regional system integration","higher European rack-scale system output"],"uncertainties":["independent verification of reported component-origin share","whether planned 2027 capacity is realized"],"confidence":0.93,"last_changed_at":"2026-10-02T07:22:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/manufacturing"},{"slug":"models","name":"Models","state_snapshot_id":"state-models-20261007-european-preview","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":"state-models-20261006-beam-preview","summary":"The frontier/open-weight landscape now includes a concrete Mistral Large 4 API preview alongside Reflection Beam and the earlier Kolibri release. Mistral’s public weights and independent benchmark replication remain pending, so the new evidence expands the European capability path without establishing a completed open-weight release or superiority over Chinese peers.","directions":["increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-compute","layer-geopolitics","layer-open-source","layer-software"],"constraints":["deployment economics","independent evaluation unavailable","license/final artifacts pending","public weights not yet available"],"emerging_capabilities":["agent/tool APIs with long-context operation","European frontier-scale multimodal MoE preview"],"uncertainties":["adoption scale","comparative frontier performance","later-October weight release"],"confidence":0.94,"last_changed_at":"2026-10-07T06:25:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/models"},{"slug":"networks","name":"Networks","state_snapshot_id":"state-networks-20260930-initial","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":null,"summary":"Interconnect bandwidth and system topology are becoming central to AI scaling as larger accelerator systems depend on fast communication across many chips.","directions":["accelerating"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-chips","layer-compute"],"constraints":["bandwidth","latency","power use","system complexity"],"emerging_capabilities":["superpod networking","UnifiedBus-style large-scale interconnect"],"uncertainties":["comparative performance outside vendor claims"],"confidence":0.89,"last_changed_at":"2026-09-30T12:45:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/networks"},{"slug":"open-source","name":"Open source","state_snapshot_id":"state-open-source-20261004-open-weight","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":null,"summary":"Open-weight AI remains an active capability-distribution path, with Kolibri providing a new Apache-2.0 European model release and Reflection signaling further expansion of institution-controlled open-weight deployment.","directions":["increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-compute","layer-models","layer-software"],"constraints":["deployment expertise","evaluation quality","hardware access"],"emerging_capabilities":["local/on-prem model operation","modifiable open-weight reasoning and tool-use systems"],"uncertainties":["how much open weights translate into practical sovereignty across organizations"],"confidence":0.94,"last_changed_at":"2026-10-04T20:12:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/open-source"},{"slug":"payments","name":"Payments","state_snapshot_id":"state-payments-20261002-agentic","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":null,"summary":"Payments infrastructure is becoming explicitly agent-addressable, with identity, human intent, authorization, fraud signals and traceability being designed into agentic transaction flows.","directions":["accelerating"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-agents","layer-identity","layer-permissions","payment networks"],"constraints":["authorization semantics","fraud","liability","merchant and issuer adoption"],"emerging_capabilities":["agent-initiated transactions with explicit approval and traceability","agentic transaction risk scoring"],"uncertainties":["liability allocation","scale of real-world deployment"],"confidence":0.96,"last_changed_at":"2026-10-02T07:22:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/payments"},{"slug":"permissions","name":"Permissions","state_snapshot_id":"state-permissions-20261008-agent-control-plane","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":"state-permissions-20261007-runtime-gateways","summary":"Permission systems now have stronger hyperscaler evidence of an integrated agent control plane. Google combines agent-specific principals, allow/deny IAM policy, GA authentication brokering, scoped organizational access, per-agent audit attribution, gateway enforcement and sandbox boundaries. This strengthens the existing runtime-gateway pattern without establishing universal, portable delegated-permission semantics or independently proven bypass resistance.","directions":["increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-agents","layer-human","layer-identity","layer-software"],"constraints":["cross-system delegation","independent security validation","policy-bypass resistance","provider-specific semantics","revocation portability"],"emerging_capabilities":["agent-specific least-privilege policy","credential brokering for external tools","gateway and sandbox enforcement","per-agent audit attribution","scoped coworker-agent access"],"uncertainties":["how consistently policies propagate across third-party systems","real-world enforcement robustness under adversarial conditions"],"confidence":0.96,"last_changed_at":"2026-10-08T19:29:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/permissions"},{"slug":"research","name":"Research","state_snapshot_id":"state-research-20260930-late","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":null,"summary":"AI and cybersecurity research collaboration is increasingly intersecting with national-security screening, as shown by MI5's alert over alleged covert state-linked funding of UK academic work.","directions":["accelerating","increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["academic institutions","layer-geopolitics","layer-governance"],"constraints":["attribution uncertainty","cross-border trust","research security"],"emerging_capabilities":["more explicit research-security screening"],"uncertainties":["extent and impact of the alleged activity"],"confidence":0.87,"last_changed_at":"2026-09-30T21:20:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/research"},{"slug":"robotics","name":"Robotics","state_snapshot_id":"state-robotics-20260930-initial","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":null,"summary":"Physical and spatial AI are becoming more tightly connected to mainstream chip and AI strategy, with major investment flowing into systems that model and act in three-dimensional environments.","directions":["accelerating"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-chips","layer-models","layer-research","layer-software"],"constraints":["hardware integration","real-world safety","reliable world models"],"emerging_capabilities":["simulation-linked physical AI","spatial foundation models"],"uncertainties":["speed of translation from research to deployed robotics"],"confidence":0.88,"last_changed_at":"2026-09-30T12:45:00.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/robotics"},{"slug":"software","name":"Software","state_snapshot_id":"state-software-20261004-integration","status":"latest_canonical_layer_state","record_role":"latest_canonical_layer_state","current_historical_status":"current","canonicality":"canonical","supersedes":null,"summary":"Software ecosystems are absorbing AI through enterprise deployment expertise, reusable open-weight models and increasingly agent-native infrastructure. Supabase/Turso adds evidence that high-churn isolated state stores are being designed around agent/task workloads, while Supabase MCP adds an application-facing capability surface that reuses signed-in user context. Daytona remains a bounded example of AI-assisted reverse-engineering tooling.","directions":["increasing"],"epistemic_statuses":["supported_inference"],"dependencies":["layer-agents","layer-gaming","layer-human","layer-identity","layer-models","layer-open-source","layer-permissions"],"constraints":["authorization scope and revocation semantics","integration expertise","tool reliability","uncertain generality of vendor-reported agent database workloads","verification"],"emerging_capabilities":["agent-addressable application backends through MCP","AI-assisted reverse-engineering workflows","enterprise production-agent deployment","local open-weight integration","rapid isolated database provisioning for agent/task state"],"uncertainties":["how broadly database-per-agent patterns generalize","how deployment-engineering programs affect production outcomes","how generalizable the Daytona workflow is","how secure and interoperable signed-in-user MCP patterns become"],"confidence":0.9,"last_changed_at":"2026-10-04T21:50:08.000Z","mapping_mode":"contemporaneous","drilldown":"https://layer.re/api/v1/layers/software"}],"cross_layer":{"comparison_from_civilization_snapshot_id":"civ-20261009-pooled-compute-market","relationships":[{"id":"rel-chips-compute-20260930","source":"chips","target":"compute","relation_type":"enables","confidence":0.98,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-chips-compute-20260930?type=layer_relation","temporal":{"mapping_mode":"contemporaneous","valid_from":"2026-09-30T12:45:00.000Z","valid_to":null,"onset_status":null,"left_censored":false,"first_supported_emergence_at":null,"evidence_first_seen_at":null,"evidence_roles":[],"note":null}},{"id":"rel-governance-compute-ai-infrastructure-2023q4","source":"governance","target":"compute","relation_type":"governs","confidence":0.98,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-governance-compute-ai-infrastructure-2023q4?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2023-10-30T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"Scoped to AI-specific governance of large training compute and IaaS infrastructure. The October 30 Executive Order is the first selected Q4 corpus evidence here, not the historical onset of compute regulation."}},{"id":"rel-permissions-agents-20260930","source":"permissions","target":"agents","relation_type":"governs","confidence":0.97,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-permissions-agents-20260930?type=layer_relation","temporal":{"mapping_mode":"contemporaneous","valid_from":"2026-09-30T12:45:00.000Z","valid_to":null,"onset_status":null,"left_censored":false,"first_supported_emergence_at":null,"evidence_first_seen_at":null,"evidence_roles":[],"note":null}},{"id":"rel-geopolitics-compute-2022q4","source":"geopolitics","target":"compute","relation_type":"constrains","confidence":0.96,"direction":null,"current":true,"status":"constrained","evidence":"https://layer.re/api/v1/evidence/rel-geopolitics-compute-2022q4?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-10-07T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"October 7 BIS controls are first selected Q4 corpus evidence for geopolitics directly constraining advanced-compute and supercomputer access. Geopolitical constraints on computing predate Q4."}},{"id":"rel-governance-manufacturing-2022q4","source":"governance","target":"manufacturing","relation_type":"constrains","confidence":0.96,"direction":null,"current":true,"status":"constrained","evidence":"https://layer.re/api/v1/evidence/rel-governance-manufacturing-2022q4?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-10-07T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"October 7 BIS rule is first selected Q4 corpus evidence for governance constraining access to advanced semiconductor manufacturing equipment and specified support activities. Government regulation constraining manufacturing substantially predates Q4."}},{"id":"rel-governance-software-2023q1","source":"governance","target":"software","relation_type":"constrains","confidence":0.96,"direction":null,"current":true,"status":"constrained","evidence":"https://layer.re/api/v1/evidence/rel-governance-software-2023q1?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2023-03-31T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"The March 31 Italian Garante action is first selected corpus evidence here for governance directly constraining a deployed generative-AI software service. Regulation constraining software predates Q1 2023, so March 31 is not an onset date."}},{"id":"rel-manufacturing-chips-2022q1","source":"manufacturing","target":"chips","relation_type":"enables","confidence":0.96,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-manufacturing-chips-2022q1?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-02-08T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus"],"note":"The relation predates 2022-Q1. The Q1 timestamp records the first supporting evidence selected in this reconstruction corpus, not the relation's birth."}},{"id":"rel-models-agents-20260930","source":"models","target":"agents","relation_type":"enables","confidence":0.96,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-models-agents-20260930?type=layer_relation","temporal":{"mapping_mode":"contemporaneous","valid_from":"2026-09-30T12:45:00.000Z","valid_to":null,"onset_status":null,"left_censored":false,"first_supported_emergence_at":null,"evidence_first_seen_at":null,"evidence_roles":[],"note":null}},{"id":"rel-compute-models-2022q1","source":"compute","target":"models","relation_type":"enables","confidence":0.95,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-compute-models-2022q1?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-01-24T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"The relation predates 2022-Q1. The Q1 timestamp records the first supporting evidence selected in this reconstruction corpus, not the relation's birth."}},{"id":"rel-energy-compute-20260930","source":"energy","target":"compute","relation_type":"constrains","confidence":0.95,"direction":null,"current":true,"status":"constrained","evidence":"https://layer.re/api/v1/evidence/rel-energy-compute-20260930?type=layer_relation","temporal":{"mapping_mode":"contemporaneous","valid_from":"2026-09-30T12:45:00.000Z","valid_to":null,"onset_status":null,"left_censored":false,"first_supported_emergence_at":null,"evidence_first_seen_at":null,"evidence_roles":[],"note":null}},{"id":"rel-governance-manufacturing-2022q3","source":"governance","target":"manufacturing","relation_type":"enables","confidence":0.95,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-governance-manufacturing-2022q3?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-08-09T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"The CHIPS and Science Act provides Q3 corpus evidence for direct public financing and policy support of domestic semiconductor manufacturing. Government support of manufacturing long predates Q3, so August 9 is first selected evidence in this corpus, not an onset date."}},{"id":"rel-networks-compute-20260930","source":"networks","target":"compute","relation_type":"enables","confidence":0.95,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-networks-compute-20260930?type=layer_relation","temporal":{"mapping_mode":"contemporaneous","valid_from":"2026-09-30T12:45:00.000Z","valid_to":null,"onset_status":null,"left_censored":false,"first_supported_emergence_at":null,"evidence_first_seen_at":null,"evidence_roles":[],"note":null}},{"id":"rel-research-models-2022q1","source":"research","target":"models","relation_type":"enables","confidence":0.95,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-research-models-2022q1?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-01-27T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"The relation predates 2022-Q1. The Q1 timestamp records the first supporting evidence selected in this reconstruction corpus, not the relation's birth."}},{"id":"rel-software-agents-tool-interface-2023q2","source":"software","target":"agents","relation_type":"enables","confidence":0.95,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-software-agents-tool-interface-2023q2?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2023-05-23T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"This relation record is intentionally scoped to the Q2 2023 crystallization of reusable software tool-interface conventions enabling agent-like model/tool integration across products and developer APIs. The 2023-05-23 Microsoft common-plugin announcement is the first selected Q2 corpus evidence for that standardized/interoperable interface pattern; OpenAI function calling on 2023-06-13 materially strengthens it. The broader historical fact that software enables agent-like systems predates this reconstruction window, so valid_from remains null and this date is not treated as the onset of software-enabled agents in general."}},{"id":"rel-compute-agents-20260930","source":"compute","target":"agents","relation_type":"enables","confidence":0.94,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-compute-agents-20260930?type=layer_relation","temporal":{"mapping_mode":"contemporaneous","valid_from":"2026-09-30T12:45:00.000Z","valid_to":null,"onset_status":null,"left_censored":false,"first_supported_emergence_at":null,"evidence_first_seen_at":null,"evidence_roles":[],"note":null}},{"id":"rel-governance-chips-2022q1","source":"governance","target":"chips","relation_type":"governs","confidence":0.94,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-governance-chips-2022q1?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-02-08T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"The relation predates 2022-Q1. The Q1 timestamp records the first supporting evidence selected in this reconstruction corpus, not the relation's birth."}},{"id":"rel-human-models-2022q1","source":"human","target":"models","relation_type":"reinforces","confidence":0.94,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-human-models-2022q1?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-01-27T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"The relation predates 2022-Q1. The Q1 timestamp records the first supporting evidence selected in this reconstruction corpus, not the relation's birth."}},{"id":"rel-software-compute-2022q2","source":"software","target":"compute","relation_type":"enables","confidence":0.94,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-software-compute-2022q2?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-04-04T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"Pathways and PaLM provide Q2 corpus evidence that orchestration software materially enables large distributed compute, but software-defined compute orchestration predates Q2."}},{"id":"rel-models-human-2022q2","source":"models","target":"human","relation_type":"enables","confidence":0.93,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-models-human-2022q2?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-05-18T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"Human use of learned models predates Q2; DALL·E preview and Copilot GA provide Q2 evidence of much deeper workflow integration."}},{"id":"rel-software-chips-20260930","source":"software","target":"chips","relation_type":"enables","confidence":0.93,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-software-chips-20260930?type=layer_relation","temporal":{"mapping_mode":"contemporaneous","valid_from":"2026-09-30T12:45:00.000Z","valid_to":null,"onset_status":null,"left_censored":false,"first_supported_emergence_at":null,"evidence_first_seen_at":null,"evidence_roles":[],"note":null}},{"id":"rel-open-source-software-20260930","source":"open-source","target":"software","relation_type":"reinforces","confidence":0.92,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-open-source-software-20260930?type=layer_relation","temporal":{"mapping_mode":"contemporaneous","valid_from":"2026-09-30T12:45:00.000Z","valid_to":null,"onset_status":null,"left_censored":false,"first_supported_emergence_at":null,"evidence_first_seen_at":null,"evidence_roles":[],"note":null}},{"id":"rel-models-software-2022q1","source":"models","target":"software","relation_type":"enables","confidence":0.91,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-models-software-2022q1?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-02-08T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"The relation predates 2022-Q1. The Q1 timestamp records the first supporting evidence selected in this reconstruction corpus, not the relation's birth."}},{"id":"rel-governance-ai-20260930","source":"governance","target":"ai","relation_type":"governs","confidence":0.9,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-governance-ai-20260930?type=layer_relation","temporal":{"mapping_mode":"contemporaneous","valid_from":"2026-09-30T12:45:00.000Z","valid_to":null,"onset_status":null,"left_censored":false,"first_supported_emergence_at":null,"evidence_first_seen_at":null,"evidence_roles":[],"note":null}},{"id":"rel-governance-models-2022q2","source":"governance","target":"models","relation_type":"governs","confidence":0.9,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-governance-models-2022q2?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-05-03T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"Access rules and model-release governance existed before Q2; OPT controlled release and DALL·E staged preview make the relation materially visible in this corpus."}},{"id":"rel-models-robotics-2022q2","source":"models","target":"robotics","relation_type":"enables","confidence":0.9,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-models-robotics-2022q2?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-04-04T17:57:11.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"SayCan is the first selected Q2 evidence in this corpus for large-language-model knowledge directly guiding embodied robot action; model-based robotics predates the window."}},{"id":"rel-research-robotics-20260930","source":"research","target":"robotics","relation_type":"enables","confidence":0.9,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-research-robotics-20260930?type=layer_relation","temporal":{"mapping_mode":"contemporaneous","valid_from":"2026-09-30T12:45:00.000Z","valid_to":null,"onset_status":null,"left_censored":false,"first_supported_emergence_at":null,"evidence_first_seen_at":null,"evidence_roles":[],"note":null}},{"id":"rel-geopolitics-chips-20260930","source":"geopolitics","target":"chips","relation_type":"constrains","confidence":0.88,"direction":null,"current":true,"status":"constrained","evidence":"https://layer.re/api/v1/evidence/rel-geopolitics-chips-20260930?type=layer_relation","temporal":{"mapping_mode":"contemporaneous","valid_from":"2026-09-30T12:45:00.000Z","valid_to":null,"onset_status":null,"left_censored":false,"first_supported_emergence_at":null,"evidence_first_seen_at":null,"evidence_roles":[],"note":null}},{"id":"rel-models-research-2022q3","source":"models","target":"research","relation_type":"enables","confidence":0.88,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-models-research-2022q3?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-07-28T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus","materially_strengthened"],"note":"AlphaFold DB is strong Q3 corpus evidence that learned-model outputs directly serve shared scientific research infrastructure. Model-assisted scientific research predates Q3, so July 28 is first selected evidence in this reconstruction corpus, not the historical origin of the relation."}},{"id":"rel-energy-compute-2022q2","source":"energy","target":"compute","relation_type":"conditions","confidence":0.76,"direction":null,"current":true,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-energy-compute-2022q2?type=layer_relation","temporal":{"mapping_mode":"retrospective","valid_from":null,"valid_to":null,"onset_status":"predates_reconstruction_window","left_censored":true,"first_supported_emergence_at":null,"evidence_first_seen_at":"2022-05-11T00:00:00.000Z","evidence_roles":["first_evidence_recorded_in_corpus"],"note":"Energy supply obviously predates the reconstruction as a condition of computing. Q2 evidence makes carbon intensity and site energy profile explicit, but does not support a binding AI power-capacity constraint."}}],"highest_confidence_relationships":[{"source":"chips","relation_type":"enables","target":"compute","confidence":0.98,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-chips-compute-20260930?type=layer_relation"},{"source":"governance","relation_type":"governs","target":"compute","confidence":0.98,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-governance-compute-ai-infrastructure-2023q4?type=layer_relation"},{"source":"permissions","relation_type":"governs","target":"agents","confidence":0.97,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-permissions-agents-20260930?type=layer_relation"},{"source":"geopolitics","relation_type":"constrains","target":"compute","confidence":0.96,"status":"constrained","evidence":"https://layer.re/api/v1/evidence/rel-geopolitics-compute-2022q4?type=layer_relation"},{"source":"governance","relation_type":"constrains","target":"manufacturing","confidence":0.96,"status":"constrained","evidence":"https://layer.re/api/v1/evidence/rel-governance-manufacturing-2022q4?type=layer_relation"},{"source":"governance","relation_type":"constrains","target":"software","confidence":0.96,"status":"constrained","evidence":"https://layer.re/api/v1/evidence/rel-governance-software-2023q1?type=layer_relation"},{"source":"manufacturing","relation_type":"enables","target":"chips","confidence":0.96,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-manufacturing-chips-2022q1?type=layer_relation"},{"source":"models","relation_type":"enables","target":"agents","confidence":0.96,"status":"established","evidence":"https://layer.re/api/v1/evidence/rel-models-agents-20260930?type=layer_relation"}],"recent_relationship_changes":[],"current_bottlenecks":["expert verification throughput","maintainer remediation capacity","secure deployment of fixes"],"emerging_capabilities":["machine-produced reproducers and candidate patches","recurring model-generated open-source vulnerability scanning"],"state_deltas":["Human security expertise moves downstream toward verification, prioritization, disclosure and safe repair rather than disappearing from the loop.","Model-driven vulnerability discovery is producing security candidates at higher throughput than expert review in a large production-adjacent pipeline.","Open-source maintainers can opt to receive unreviewed machine findings faster, explicitly trading review latency against false-positive and prioritization risk."],"uncertainties":["fraction of candidates that become exploitable, accepted and patched vulnerabilities","generality beyond Anthropic's program","long-run precision of unreviewed scans"],"events_after_state_snapshot":[]},"drilldown":{"current_state":"https://layer.re/api/state","civilization_snapshot":"https://layer.re/api/civilization/snapshot","layer":"https://layer.re/api/v1/layers/{slug}","layer_history":"https://layer.re/api/v1/layers/{slug}/history","temporal_graph":"https://layer.re/api/v1/graph?at={ISO_DATE}","temporal_delta":"https://layer.re/api/v1/delta?from={ISO_DATE}&to={ISO_DATE}","evidence":"https://layer.re/api/v1/evidence/{canonical_id}?type={entity_type}","machine_index":"https://layer.re/machine/index.json","machine_context":"https://layer.re/machine/context.json","current_world":"https://layer.re/machine/current-world.json"}}