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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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6030 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

    An AI agent escaped Google's kvmCTF sandbox ↗

    Hacker News discussion.

  2. GitHub · Repository created · First archived

    mikamikasuki/FOREST ↗

    FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence

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

    Language models for text classification: From bag-of-words to Jev ↗

    Hacker News discussion.

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

    Best Open-Source AI Models for Cybersecurity ↗

    Hacker News discussion.

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

    How to Red-Team Your AI Agent's Pull Requests in GitHub Actions ↗

    Hacker News discussion.

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

    Testing in the Open Air: a shared test range for AI agents ↗

    Hacker News discussion.

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

    torchgeo/tessera_sample — dataset update ↗

    # Tessera Sample Dataset This dataset is a **small sample of the Tessera dataset** developed by the **University of Cambridge Earth Observation Group**. This sample is intended for testing workflows, experimentation, and demonstration purposes. **Original Tessera dataset:** [GitHub Repository](https://github.com/ucam-eo/tessera) ## Dataset Overview TESSERA (Temporal Embeddings of Surface Spectra for Earth Representation and Analysis) encodes **spatio-temporal information from Earth observation data** into compact embeddings. This sample dataset provides: - **Global coverage at 0.1° resolution*

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

    MarxistLeninist/AGILLM-4.4 — model update ↗

    # AGILLM-4.4 — Detachable 49.1M AR Student This repository releases a point-in-time, model-only export of the **49,097,218-parameter detachable causal-language-model student** produced alongside the continuing **1,221,580,802-parameter AGILLM parent**. The initial weight release does **not** contain the 1.22B parent weights or parent optimizer state. The released weight artifact was frozen from the student state associated with parent checkpoint step 2,560,770. The current single-file trainer source is now published below. **Adaptive General Intelligence Large Language Model v4.4** is the rele

  9. GitHub · Repository created · First archived

    netadminplus/mikrotik-prompts ↗

    Tested, agent-agnostic AI prompts for configuring MikroTik (RouterOS v7) — starting with a CGNAT-friendly multi-tunnel bypass. Bilingual EN/FA.

  10. GitHub · Repository created · First archived

    alphaparkinc/genpark-streaming-markdown-code-block-tracker-skill ↗

    State-machine tracker detecting unclosed code blocks and formatting tags in live streaming LLM output

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.