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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.
- Hacker News · Posted on Hacker News · First archived
AI agent memory can be poisoned – and later treated as the user's own past ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
OpenAI shelves new AI model after internal safety tests: Report ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
meteolibre-dev/global_sat_metar_v3 — dataset update ↗
# global_sat_metar_v3 Corrected republish of [`meteolibre-dev/global_sat_metar_v2`](https://huggingface.co/datasets/meteolibre-dev/global_sat_metar_v2). Same shards, schema, patch grid and satellite/radar/elevation bytes; only the rasterized METAR/SYNOP channel was fixed. ## What was fixed The v2 rasterizer used a closed 1-hour window `[t-1h, t]`, so every observation stamped at exactly `HH:00:00` (all SYNOP/FM-12 reports, and any station with reporting gaps > 1h) was written into **two consecutive** hourly frames. ~20-40% of consecutive obs pairs in v2 were exact copies of the same report, wh
- GitHub · Repository created · First archived
Alpha-Park/genpark-agent-rate-limit-token-bucket-regulator-skill ↗
Multi-provider token-bucket and sliding-window rate limiter preventing TPM/RPM throttling across LLM APIs with predictive token consumption budgeting.
- GitHub · Repository created · First archived
alphaparkinc/genpark-agent-rate-limit-token-bucket-regulator-skill ↗
Multi-provider token-bucket and sliding-window rate limiter preventing TPM/RPM throttling across LLM APIs with predictive token consumption budgeting.
- GitHub · Repository created · First archived
Alpha-Park/genpark-agent-hallucination-fact-verifier-skill ↗
Atomic claim decomposition and cross-context fact verification engine detecting ungrounded claims, numerical contradictions, and hallucinated entities against reference knowledge.
- GitHub · Repository created · First archived
alphaparkinc/genpark-agent-hallucination-fact-verifier-skill ↗
Atomic claim decomposition and cross-context fact verification engine detecting ungrounded claims, numerical contradictions, and hallucinated entities against reference knowledge.
- GitHub · Repository created · First archived
Alpha-Park/genpark-agent-multimodal-document-table-extractor-skill ↗
Heuristic multi-column document and tabular markdown extractor converting ASCII/OCR text dumps, aligned spacing, and CSV/TSV into clean GitHub Flavored Markdown and typed JSON.
- GitHub · Repository created · First archived
alphaparkinc/genpark-agent-multimodal-document-table-extractor-skill ↗
Heuristic multi-column document and tabular markdown extractor converting ASCII/OCR text dumps, aligned spacing, and CSV/TSV into clean GitHub Flavored Markdown and typed JSON.
- GitHub · Repository created · First archived
Alpha-Park/genpark-agent-tool-dag-speculative-prefetcher-skill ↗
Topological tool dependency DAG scheduler and speculative prefetcher resolving agent tool execution graphs with parallel batching and speculative argument evaluation.
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.