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Earlier sources: Artificial Intelligence
Artificial intelligence covers systems that learn from data, generate content, perceive their surroundings, or act toward a goal. Follow model research, agent tooling, evaluation, and the infrastructure used to build and run these systems.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗5952 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- GitHub · Repository created · First archived
alphaparkinc/genpark-personal-agent-unified-autonomous-copilot-skill ↗
Master cognitive personal copilot integrating Today AI (agenda), Manus (autonomous sandbox), Cue (ambient cues), Instinct (fast reflex), and Muse (episodic memory).
- GitHub · Repository created · First archived
Alpha-Park/genpark-meta-muse-multimodal-episodic-resonance-mcp ↗
Multimodal sensory grounding (Meta Ray-Ban audio/vision) integrated with long-term episodic life memory graphs and empathetic emotional resonance (Muse).
- GitHub · Repository created · First archived
alphaparkinc/genpark-meta-muse-multimodal-episodic-resonance-mcp ↗
Multimodal sensory grounding (Meta Ray-Ban audio/vision) integrated with long-term episodic life memory graphs and empathetic emotional resonance (Muse).
- GitHub · Repository created · First archived
Alpha-Park/genpark-cue-desktop-ambient-context-trigger-skill ↗
Ambient desktop context listener, screen text & clipboard change trigger, and non-intrusive proactive intent predictor (inspired by Cue).
- GitHub · Repository created · First archived
alphaparkinc/genpark-cue-desktop-ambient-context-trigger-skill ↗
Ambient desktop context listener, screen text & clipboard change trigger, and non-intrusive proactive intent predictor (inspired by Cue).
- GitHub · Repository created · First archived
Alpha-Park/genpark-manus-autonomous-generalist-sandbox-executor-skill ↗
General-purpose autonomous task decomposition, multi-modal web/sandbox execution loop, and self-correcting goal resolution (inspired by Manus AI).
- GitHub · Repository created · First archived
alphaparkinc/genpark-manus-autonomous-generalist-sandbox-executor-skill ↗
General-purpose autonomous task decomposition, multi-modal web/sandbox execution loop, and self-correcting goal resolution (inspired by Manus AI).
- GitHub · Repository created · First archived
Alpha-Park/genpark-today-ai-proactive-daily-agenda-synthesizer-skill ↗
Proactive daily agenda and cognitive briefing synthesizer for personal agents (inspired by Today.ai), orchestrating circadian energy focus blocks, asynchronous task triage, and meeting prep.
- arXiv · Published · First archived
Know the Normal, Track the Attack: Context-Grounded and Stateful LLM Investigation over System Provenance ↗
Provenance-based intrusion detection systems (PIDSs) identify suspicious activity in audit streams, but their outputs remain difficult to turn into coherent attack narratives. Direct LLM analyses of local anomalous subgraphs lack deployment-specific normal-behavior knowledge and validated attack state across evidence fragments. This can cause unsupported attack interpretations of routine activities and incorrect attribution of temporally dispersed evidence to attack stages. We present ANCHOR, an investigation-oriented provenance system that combines evidence curation with context-grounded LLM…
- GitHub · Repository created · First archived
alphaparkinc/genpark-today-ai-proactive-daily-agenda-synthesizer-skill ↗
Proactive daily agenda and cognitive briefing synthesizer for personal agents (inspired by Today.ai), orchestrating circadian energy focus blocks, asynchronous task triage, and meeting prep.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Artificial Intelligence
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.