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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 ↗6006 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
adityaagarw/Pantheon ↗
A 3D world where AI agents live, work and teach, and you can watch everything they do. Self-hosted, works with local models.
- Hacker News · Posted on Hacker News · First archived
Context Language Models ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
ADLX 2.0: Extending graphics control to AI agents and agentic apps ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Explainroo, Open Source Framework to Make Explainer Videos with Claude ↗
Everyone is making videos with Opus 5.5 right now (Sonnet 5.5 is also good at it), so I built a small open source kit to give you a head start. Just point Claude or Codex at the repo and say what the video should explain. It also makes great product demos. Examples: https://www.explainroo.com/videos/
- Hacker News · Posted on Hacker News · First archived
Local LLM Observability ↗
Hacker News discussion.
- GitHub · Repository created · First archived
blendbunjaku/optimaizr ↗
Spend fewer tokens on the same work. A local CLI that finds wasted tokens in Claude Code, Codex and your own API calls.
- Hacker News · Posted on Hacker News · First archived
Show HN: AgentX – Run Claude Code, Codex or Any LLM from Your Chats and GitHub ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Fighting back against AI chatbots at work ↗
They put an AI chatbot where "Home" was before at work Slack, which is now one slot lower. Cannot be disabled or moved. I keep hitting it by accident, really fucking up my muscle memory. Decided to get back at it and waste some of its resources by having it solve some prime numbers or knapsack problems but it was pretty fast at those. So I gave it a 700 page PDF of "The History of the Modern Middle East" and told it to summarize it in a way that…
- Hacker News · Posted on Hacker News · First archived
Show HN: SFML – A markup language for software factories, Terraform for agents ↗
SFML is a language specification for defining software factories. You can think of it as Terraform for your software development lifecycle. I started from a language spec to help think through both how a factory is defined and how a conforming runner processes it. The push to do this comes from leading teams where everyone has a unique coding setup, which results in different agentic coding processes. People also want to work together on improvin…
- Hacker News · Posted on Hacker News · First archived
Show HN: Four frontier models argue over your AI agent's riskiest code ↗
Hacker News discussion.
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.