{"ontology":"https://layer.re/machine/schema.json","epistemic_model":"evidence-backed-temporal-layer-graph","canonical":true,"type":"layer_history","layer":{"id":"layer-ai","slug":"ai","name":"AI","description":"Artificial intelligence capabilities, systems and deployment.","machine_description":"Artificial intelligence capabilities, systems and deployment.","active":1},"snapshots":[{"id":"state-ai-2022q1","layer_id":"layer-ai","as_of":"2022-03-31 23:59:59.000","summary":"AI progress in Q1 2022 was centered on large models, instruction-following post-training, prompting methods, code generation and increasingly specialized infrastructure; persistent agents were not yet evidenced as a separate operational layer.","dependencies":["layer-models","layer-research","layer-compute","layer-software"],"constraints":["model reliability","training cost","compute access","limited controllability"],"emerging_capabilities":["instruction-following deployed models","prompt-elicited multi-step reasoning","competitive code generation"],"underdeveloped_components":["persistent autonomous action","mature external-tool orchestration"],"uncertainties":["selected evidence is LLM-heavy and does not cover all AI subfields"],"confidence":0.91,"previous_snapshot_id":null,"mapping_mode":"retrospective","reconstructed_at":"2026-10-01T17:34:32.000Z","created_at":"2026-10-01T18:05:36.387Z","updated_at":"2026-10-01T18:05:36.387Z"},{"id":"state-ai-2022q2","layer_id":"layer-ai","as_of":"2022-06-30 23:59:59.000","summary":"By end-Q2, AI remained model-centric but was no longer primarily a text-and-code story: multimodal models, creative generation, coding assistance and embodied generalist prototypes were visibly coupling models to more interfaces and environments.","dependencies":["layer-models","layer-research","layer-compute","layer-software","layer-human"],"constraints":["reliability","compute and serving cost","release safety","capability predictability"],"emerging_capabilities":["multimodal few-shot interaction","large-scale generative image workflows","AI-assisted coding","agent-like embodied action research"],"underdeveloped_components":["persistent autonomous agents","reliable open-ended tool use","stable multimodal deployment guarantees"],"uncertainties":["whether research prototypes would generalize into durable products","how much threshold-like capability behavior reflected metrics versus underlying discontinuities"],"confidence":0.94,"previous_snapshot_id":"state-ai-2022q1","mapping_mode":"retrospective","reconstructed_at":"2026-10-01T18:14:00.000Z","created_at":"2026-10-01T19:22:17.761Z","updated_at":"2026-10-01T19:22:17.761Z"},{"id":"state-ai-2022q3","layer_id":"layer-ai","as_of":"2022-09-30 23:59:59.000","summary":"By end-Q3, AI capability was reaching users and researchers through both hosted mass-market generative systems and increasingly downloadable model artifacts, while dialogue and embodied systems combined models with retrieval, feedback and action loops.","dependencies":["layer-models","layer-research","layer-software","layer-human","layer-governance"],"constraints":["reliability","deployment safety","compute and serving cost","uneven access conditions"],"emerging_capabilities":["open-weight image generation","open multilingual speech models","retrieval-augmented dialogue research","closed-loop embodied planning"],"underdeveloped_components":["persistent autonomous agents","reliable verification","stable safety guarantees across redistributed models"],"uncertainties":["whether broader access translated into durable capability decentralization","vendor usage metrics were not independent evidence"],"confidence":0.95,"previous_snapshot_id":"state-ai-2022q2","mapping_mode":"retrospective","reconstructed_at":"2026-10-02T15:12:29.000Z","created_at":"2026-10-02T16:08:16.255Z","updated_at":"2026-10-02T16:08:16.255Z"},{"id":"state-ai-2022q4","layer_id":"layer-ai","as_of":"2022-12-31 23:59:59.000","summary":"By end-Q4, AI capability was available through public conversational interfaces, developer APIs, enterprise coding assistance and research systems coupling models to actions. The stack remained unreliable and model-centric rather than an infrastructure of persistent autonomous agents.","dependencies":["layer-models","layer-software","layer-human","layer-research","layer-governance","layer-compute"],"constraints":["factual reliability","safety and misuse","serving and compute cost","deployment governance","uneven access to advanced compute"],"emerging_capabilities":["free public multi-turn conversational AI","developer-integrated generative image APIs","enterprise-administered AI coding assistance","reasoning-action research architectures"],"underdeveloped_components":["persistent autonomous agents","reliable factual verification","general tool execution"],"uncertainties":["later ChatGPT adoption or economic impact must not be projected into Q4","public availability does not establish universal access or productivity"],"confidence":0.97,"previous_snapshot_id":"state-ai-2022q3","mapping_mode":"retrospective","reconstructed_at":"2026-10-03T14:26:11.000Z","created_at":"2026-10-03T14:45:10.923Z","updated_at":"2026-10-03T14:45:10.923Z"},{"id":"state-ai-2023q1","layer_id":"layer-ai","as_of":"2023-03-31 23:59:59.000","summary":"Conversational generative AI expanded into a multi-provider set of search, browser, assistant and API surfaces, while reliability and access remained uneven and tool use remained constrained.","dependencies":["layer-models","layer-software","layer-human","layer-governance","layer-compute"],"constraints":["hallucination","safety","preview-limited access","compute cost","verification"],"emerging_capabilities":["multiple conversational assistants","search/browser generative interfaces","developer model APIs","limited tool-enabled products"],"underdeveloped_components":["reliable factuality","persistent autonomous agents","broad enterprise deployment","general multimodal access"],"uncertainties":["Later 2023 adoption is not projected backward."],"confidence":0.97,"previous_snapshot_id":"state-ai-2022q4","mapping_mode":"retrospective","reconstructed_at":"2026-10-05T15:23:51.000Z","created_at":"2026-10-05T18:17:53.799Z","updated_at":"2026-10-05T18:17:53.799Z"},{"id":"state-ai-2023q2","layer_id":"layer-ai","as_of":"2023-06-30 23:59:59.000","summary":"Generative AI broadened into an ecosystem of public assistants, integrated provider products, open model families and tool-enabled experiences, while reliability and autonomy remained constrained.","dependencies":["layer-models","layer-software","layer-human","layer-governance"],"constraints":["hallucination","tool safety","uneven access","privacy/compliance"],"emerging_capabilities":["tool-enabled assistants","open model alternatives","long-context assistants"],"underdeveloped_components":["persistent autonomous agents","general permission infrastructure"],"uncertainties":["surface expansion does not establish usage scale"],"confidence":0.97,"previous_snapshot_id":"state-ai-2023q1","mapping_mode":"retrospective","reconstructed_at":"2026-10-07T12:55:58.000Z","created_at":"2026-10-07T14:04:48.608Z","updated_at":"2026-10-07T14:04:48.608Z"},{"id":"state-ai-2023q3","layer_id":"layer-ai","as_of":"2023-09-30 23:59:59.000","summary":"By end-Q3, generative AI was becoming embedded across enterprise, desktop and multimodal interaction surfaces while remaining unreliable and only partly multimodal at the cutoff.","dependencies":["layer-models","layer-software","layer-human","layer-governance","layer-compute"],"constraints":["hallucination","tool safety","enterprise trust","uneven multimodal rollout","compute concentration"],"emerging_capabilities":["enterprise-grade assistant deployment","voice/image interaction rollout","OS-level assistant preview","sandboxed analysis"],"underdeveloped_components":["reliable multimodal reasoning","persistent autonomy","general permission infrastructure"],"uncertainties":["voice/image rollout began only on September 25 and extended into Q4"],"confidence":0.97,"previous_snapshot_id":"state-ai-2023q2","mapping_mode":"retrospective","reconstructed_at":"2026-10-07T16:04:51.000Z","created_at":"2026-10-07T16:56:16.864Z","updated_at":"2026-10-07T16:56:16.864Z"},{"id":"state-ai-2023q4","layer_id":"layer-ai","as_of":"2023-12-31 23:59:59.000","summary":"Generative AI became a more persistent and configurable systems layer across enterprise, developer and multimodal surfaces while autonomy and generalized permissions remained bounded.","dependencies":["layer-models","layer-software","layer-agents","layer-governance","layer-compute"],"constraints":["reliability","tool safety","authorization","availability gaps","compute concentration"],"emerging_capabilities":["custom GPTs","persistent assistant threads","multimodal developer APIs","enterprise copilots","Gemini Pro APIs"],"underdeveloped_components":["continuous autonomous operation","general delegated permissions"],"uncertainties":["Gemini Ultra was not generally available; persistent threads are not autonomous operation"],"confidence":0.98,"previous_snapshot_id":"state-ai-2023q3","mapping_mode":"retrospective","reconstructed_at":"2026-10-08T15:50:00.000Z","created_at":"2026-10-08T17:00:00.128Z","updated_at":"2026-10-08T17:00:00.128Z"},{"id":"state-ai-20260930-initial","layer_id":"layer-ai","as_of":"2026-09-30 12:45:00.000","summary":"AI development is shifting from model releases alone toward persistent agents, lower-cost capability tiers and tighter integration with infrastructure and physical-world applications.","dependencies":["layer-models","layer-compute","layer-chips","layer-software","layer-energy"],"constraints":["agent safety and permissions","compute and energy availability","governance uncertainty"],"emerging_capabilities":["persistent agents","lower-cost frontier-class models","physical/spatial AI integration"],"underdeveloped_components":["standardized accountability","cross-vendor agent governance"],"uncertainties":["deployment reliability at scale","how quickly regulatory and liability frameworks converge"],"confidence":0.91,"previous_snapshot_id":null,"mapping_mode":"contemporaneous","reconstructed_at":null,"created_at":"2026-09-30T12:54:32.490Z","updated_at":"2026-09-30T12:54:32.490Z"},{"id":"state-ai-20260930-late","layer_id":"layer-ai","as_of":"2026-09-30 21:20:00.000","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.","dependencies":["layer-models","layer-agents","layer-governance","layer-chips","layer-compute"],"constraints":["agent liability and enforcement","memory and infrastructure capacity","data-access regulation"],"emerging_capabilities":["cybersecurity-focused frontier models","AI-native semiconductor design"],"underdeveloped_components":["stable liability rules","transparent independent evaluation of restricted frontier releases"],"uncertainties":["practical performance of restricted-access Gemini 4 Argon","outcomes of FTC and EU legal proceedings"],"confidence":0.93,"previous_snapshot_id":"state-ai-20260930-initial","mapping_mode":"contemporaneous","reconstructed_at":null,"created_at":"2026-09-30T21:57:03.549Z","updated_at":"2026-09-30T21:57:03.549Z"}]}