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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 ↗6029 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
Ask HN: Why can AI solve Navier-Stokes but not write in a human-like way? ↗
It just seems like a much easier problem for AI to solve. Any ideas?
- GitHub · Repository created · First archived
lucidrains/self-play-pretrain-zero-data ↗
Implementation of Self-Play Pretraining with Zero Data
- GitHub · Repository created · First archived
amigoer/ccprogress ↗
Live step-by-step progress bar for long Claude Code sessions, in the terminal and the Desktop app
- Hacker News · Posted on Hacker News · First archived
Maintaining wait-on at agent speed: AI, NPM supply-chain risk, and a Rust engine ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Pi pod – Run your pi coding agent in sandboxes on your own server ↗
pi pod runs sessions of the pi coding agent in isolated sandboxes ("pods") on a server you run, in composable environments. ---- Since moving my company towards AI-native work, I have been really frustrated by the state of "agentic engineering" environments. Products by the labs (claude code, codex) lock you into a single provider for your tokens. Agnostic solutions (factory, devin, arguably cursor) make you pay per-token costs. None of these pro…
- Hacker News · Posted on Hacker News · First archived
Apple is tightening macOS 'Full Disk Access' due to new risks from AI agents ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
OpenFormosa/barbet-long-context-sft — dataset update ↗
# Barbet long-context SFT Release `9a375c2c8013cccb34ad8ec4d9fec45a948d18b186f3e32145536fb68b4a93e9` preserves 1501 active records. This is one joint assistant-only SFT dataset; no Barbet model training has been run. The skill-prefill migration has revised 1245 of 1254 records from its fixed base snapshot. Revisions replace their original records in the explicit shard lists above. Old bundles and releases remain available at their pinned commits. Additional records from other contributors are preserved, not counted as migration work. Independently sourced new anchors added after the fixed migr
- Hacker News · Posted on Hacker News · First archived
Show HN: Another stock screener without AI, news, or analyst ratings ↗
Hi HN, Holder Dashboard is a stock screener, yes, but it ranks and compares companies using their historical fundamental data (revenue, net income, debt, cash flow, etc.). I’ve used other stock screeners, but something that bothers me is the subjectivity and randomness of analyst opinions: time to buy, sentiment, price targets, and so on. I wanted to build a tool where I could compare stocks based purely on their own data, trying to reduce as muc…
- GitHub · Repository created · First archived
dongnguyenvie/BashCut ↗
Native macOS video editor that coding agents can drive: everything the UI does, Claude Code and Codex can do through the bashcut CLI or MCP server. Layered timeline, captions, voiceover, plugins.
- GitHub · Repository created · First archived
Aryanutkarsh/SeeCode ↗
Animated, explorable diagrams for Claude and other coding agents, from a short JSON spec.
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.