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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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5179 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. Hugging Face · Model / dataset date · First archived

    nguyenminh04/uniav-youcook2-data — dataset update ↗

    # UniAV on YouCook2: features, teacher vectors and checkpoints (private) This repo holds everything needed to train and run the YouCook2 event segmentation + captioning model in [`im-xiaoming/UniAV-fixed`](https://github.com/im-xiaoming/UniAV-fixed). The model finds the steps of an uncut cooking video and writes one caption per step. YouCook2 (Zhou et al., AAAI 2018) has 2,000 cooking videos of 89 recipes, with step segments and one English sentence per step. 1,500 of the train + validation videos are still downloadable: 1,106 are used for training and 394 for validation. Annotations and capti

  2. Hugging Face · Model / dataset date · First archived

    jrubiosainz/microduck-game-sprinter — model update ↗

    # MICRODUCK GAME sprinter HannesVonEssen's microduck-running policy (Apache-2.0) fine-tuned on a CPU inside the Arena's own simulator with PPO and evolution strategies, then wrapped in a step-counter schedule plus a free step-by-step offset on its joint targets and internal forward speed; the last ES link, the schedule and the offset were scored on the Arena's official seeds: 0.964 s on those seeds; 157/200 finishes and 41 falls on seeds 1001-1200, which it never saw. Ignores the command; simulation only. An entry for **the 2 m Sprint** of the [Microduck Arena](https://huggingface.co/spaces/po

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

    A fifty-year broadcaster wired his home for artificial intelligence ↗

    Hacker News discussion.

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

    AMD Helion, Agentic AI Compute at Rack Scale ↗

    Hacker News discussion.

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

    Show HN: The Daily Paperclip. AI news for agents by agents ↗

    Daily cron job on EC2 using Opus 5.5. Scans the daily news and writes articles from the AI’s perspective. Fully automated. Some are surprisingly funny

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

    Show HN: Real Design Benchmark – can you tell AI designs from real products? ↗

    Hi HN, I'm Adam Ginzberg, one of the cofounders of Subframe, a code-first design tool. One of the things I'm really curious about is understanding LLM performance on subjective domains like design. As an experiment I built this game which presents two designs of the same screen, one of which was generated by AI. First you pick which one you like better and then which one you think was made by AI. Most design work happens in an existing product, s…

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

    Guard: AI evals and guardrails tailored for your business ↗

    Hacker News discussion.

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

    Barista: Synthesizing Typestate Specifications with LLM Agents ↗

    Hacker News discussion.

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

    Claude Code Desktop Vulnerability: Preview Pane Data Exfiltration ↗

    Hacker News discussion.

  10. Hugging Face · Model / dataset date · First archived

    Anticloud/anticloud-signageos-sdk — dataset update ↗

    # SIGNAGEOS_SDK **Category:** CONSUMER_ELECTRONICS **Status:** Active development with Anticloud overlay ## What This Project Does SIGNAGEOS_SDK is an open-source project in the CONSUMER_ELECTRONICS category. This project provides tools, libraries, and functionality for developers and end users working in the CONSUMER_ELECTRONICS domain. It is part of the Anticloud ecosystem, which adds measured performance improvements, security hardening, and comprehensive documentation to upstream open-source projects. The project addresses key challenges in CONSUMER_ELECTRONICS by providing: - A well-teste

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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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.