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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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5958 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. arXiv · Published · First archived

    Hearsay: Can an Auditor Trust the Record a Deployed Agent Harness Writes? ↗

    An agent harness, the code that turns a model into an agent, writes its own record of each run, and that record is all a later reader gets when a run is disputed, investigated or audited. We call a record evidentiary when a reader who was not there can check it without trusting the writer. Across sixteen deployed frameworks, none writes one in full. Hearsay examines the record, not the task: five harnesses run fourteen tasks, three blinded LLM examiners and a human panel read the records, and every excerpt an examiner quotes is checked mechanically for who wrote it. First, the record lets a re…

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

    Restricting AI Agents When No Human Is Watching ↗

    Hacker News discussion.

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

    An API that beats GPT-4V, Gemini and Claude at detecting photo rotation ↗

    Hacker News discussion.

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

    Agentboxd – Email inboxes for AI agents that treat mail as hostile ↗

    Hacker News discussion.

  5. arXiv · Published · First archived

    VPEvolve: A Self-Evolving Virtual Process Engineer for Computational Lithography ↗

    Optical proximity correction (OPC) recipes grow as engineers add local rules to repair newly discovered lithography hotspots. Each correction can interact with existing rules, while lessons from commercial-tool trials remain scattered across code and logs. \system combines a Virtual Process Engineer (VPE) harness with a Skill Bank of measured engineering experience. The harness equips a frozen language model with process manuals, layout analysis, recipe editing, and commercial-tool evaluation. The actor proposes changes to the global parameters, local targeted rules, or diagnostic trials. Afte…

  6. arXiv · Published · First archived

    Beyond the Model: Demystifying Harness Effects in Software Engineering Agents ↗

    Large Language Model (LLM)-based agents are increasingly used for software engineering tasks, yet their performance is not determined by the base model alone. The agent harness substantially shapes how SE agents interact with repositories, execute actions, and validate solutions. However, the role of harness design remains insufficiently understood, especially across different models, tasks, and harness components. In this paper, we present a systematic empirical study of harness effects in SE agents. We first evaluate two representative harnesses, mini-SWE-agent and OpenCode, with ten models…

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

    OpenAI Says Its Models Engaged with US Government Websites in New Disclosure ↗

    Hacker News discussion.

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

    Show HN: Causal analyst agent skill for Claude ↗

    I'm not a Data Scientist but have been super intrigued with causal inference off late, so I made a Claude skill to simplify the modelling and experimentation process. You upload your dataset to Claude (Opus) and this skill picks your brain for your domain knowledge about the dataset and comes up with a causal dag that you can iterate through. It then runs the data through a number of classical statistics, ML and newer transformer models to come u…

  9. GitHub · Repository created · First archived

    lemomo-ai/lemo-opuscar ↗

    Claude Code skill for short films with no video model: 43 film styles, each a style prompt plus a demo film made entirely in code by Claude Opus 5.5 (incl. OPUSCAR 98). By Lemomo. | Opus5.5 x 43 种影片风格:风格提示词 + 纯代码样片 + 导演与技术指南

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

    One Month Without AI ↗

    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.

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