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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.

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5778 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.

  1. Hacker News · Posted on Hacker News · First archived

    Mugatu Signal – On-device prompt DLP for ChatGPT and Claude (0 telemetry) ↗

    Hacker News discussion.

  2. Hacker News · Posted on Hacker News · First archived

    AI scrapers are hiding behind referrer spam ↗

    Hacker News discussion.

  3. GitHub · Repository created · First archived

    adsorgcn/WorkBuddy ↗

    iLang 专家与技能的 GitHub 安装源,海外版 WorkBuddy 可直接装:公众号爆文结构专家 v2.0(素材进稿子出,12 项自查,内置去 AI 味)· iLang experts & skills for WorkBuddy, installable from GitHub

  4. Hacker News · Posted on Hacker News · First archived

    Smaller models are the future of AI sovereignty ↗

    Hacker News discussion.

  5. arXiv · Published · First archived

    Protecting CPU AI On Edge TEEs: WebAssembly's Promise and Practical Challenges ↗

    AI models on edge hardware contain important intellectual property (IP), but an adversary can steal it when they achieve root access. Trusted Execution Environments (TEE) like Arm TrustZone protect against these Operating System (OS) level attacks. However, they are challenging to use. More precisely, it is difficult to run unaltered applications inside a TEE. This work presents a solution that allows the execution of unaltered AI models, compiled to WebAssembly, on the WebAssembly Micro Runtime (WAMR) in OP-TEE for Arm TrustZone. Additionally, this work provides an AI model distributor that e…

  6. arXiv · Published · First archived

    Traceable World State: A Provenance-Aware State Representation and Deterministic Replay Framework for Robotic Systems ↗

    Robotic systems operating over extended tasks must maintain a world state assembled from observations arriving at different times, with varying confidence and potential revisions. Conventional representations emphasize latest estimates, hindering fact provenance, decision reproduction, or execution auditing. We present Traceable World State (TWS), a middleware-neutral semantic representation and reference runtime for provenance-aware robot world state. A TWS snapshot captures entities, relations, observations, confidence, and revision metadata. Validated update operations transform snapshots i…

  7. Hacker News · Posted on Hacker News · First archived

    Show HN: Llmll – AI agents fill typed holes, an SMT solver rejects wrong fills ↗

    Hacker News discussion.

  8. Hacker News · Posted on Hacker News · First archived

    Show HN: I Put an AI Agent on a Nokia 110 ↗

    I was using this mobile to reduce my screentime. Recently got the idea to put ai agent in it. Started with installing android, but failed as it has only 48MB RAM. Then reverse-engineered for few days and finally able use AI Agent in this and automated few actions. Thanks

  9. Hacker News · Posted on Hacker News · First archived

    Why the AI future will be awesome ↗

    Hacker News discussion.

  10. Hacker News · Posted on Hacker News · First archived

    Why the Catholic Church Is AI Doom's Most Formidable Foe ↗

    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.