THE INTERNET IS THINKING

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 ↗
Share this page ↗

5999 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. GitHub · Repository created · First archived

    Rapace7/RapaceGo ↗

    跟 AI 下棋、看客观数据、听本地模型讲棋的围棋工具(Electron + KataGo + LoGos)

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

    Are your AI evals measuring the right things? ↗

    Hacker News discussion.

  3. GitHub · Repository created · First archived

    matteodisalvo/HeroFig ↗

    A visual desktop editor for creating publication-ready scientific figures, with domain-specific libraries, real-time collaboration, and export to PDF, SVG, PNG, and LaTeX/TikZ.

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

    When the pentester is a fleet of AI agents: inside an autonomous vuln-hunting ↗

    Hacker News discussion.

  5. arXiv · Published · First archived

    Choosing an energy-efficient software architecture for building system diagnostic support ↗

    Around 30\% of global energy expenditure can be attributed to the building sector, where a large portion of energy-consumption could be avoided by repairing existing faults. Fault detection and diagnosis (FDD) software addresses this issue; however, its creation and operation also have an environmental impact. The magnitude of this impact is influenced by the diagnosis architecture, as different architectures and methods have different energy demands. Yet, simply considering the energy consumed by the software itself is not sufficient to assess its overall environmental impact, since the diagn…

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

    Discover AI – A Learning Guide ↗

    Hacker News discussion.

  7. arXiv · Published · First archived

    SoK: Semantic Decision Engines in Network Control Loops ↗

    A semantic decision engine such as Jev can return a valid answer and still miss a network deadline, select an infeasible action or leave the service unverified. We systematize 139 paper families by decision interface, execution path and check ownership. Fifty families claim that their engine fits a control loop or time budget, but only four support the claim with matched measurement. Across all 139, four report deadline attainment. The gap concentrates where the decision has no deterministic computation step. Those 72 families make 22 of the claims, none supported, and name a coverage owner in…

  8. GitHub · Repository created · First archived

    wanikhawar/ferris-forge ↗

    A cozy pixel-art game that teaches Rust, with Ferris the crab as a Claude-powered teacher

  9. arXiv · Published · First archived

    Efficient Secure Federated Learning via Information-Theoretically Secure Key Distribution: A Medical Imaging Case Study ↗

    Federated Learning (FL) enables collaborative training of models across institutions without centralizing sensitive data, making it well-suited for privacy-concerned applications, such as medical imaging. To protect FL model updates during secure aggregation, additive masking is commonly employed. However, its underlying classical key establishment is only computationally secure. On the other hand, physics-based Information-Theoretically Secure (ITS) key exchange introduces practical constraints: finite key generation rates and time-limited storage severely limit throughput and sustained train…

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

    AI-Ready Data: 4 Foundations for More Reliable Enterprise 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.

See the collection and counting methodology ↗ · Read the weekly synthesis ↗

Follow a thread

Explore related regions

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