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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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5646 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

    German search engine ditches Mistral, bets on Chinese open-source AI ↗

    Hacker News discussion.

  2. GitHub · Repository created · First archived

    IbrahimSobh/AISkills ↗

    A collection of useful AI skills (SKILL.md) for Claude and other AI agents, starting with a sourced fact-checker.

  3. arXiv · Published · First archived

    Verification with Transfer: Exact Information Frontiers and Their Price in Calls ↗

    A verifier that accepts or rejects whole answers reveals little: under a flat prior over $k$-bit answers, zero error needs $2^k-1$ verifications. The usual remedy is to solve related source tasks, either all first, as a curriculum does, or interleaved with verification. We price this remedy in information and in calls. With an exact verifier, the least causal information that any interleaving of source calls and $n$ verifications needs to succeed with probability $s$ is a list rate-distortion function, attained by one observation before any verification. It lower-bounds the expected number of…

  4. GitHub · Repository created · First archived

    ls-open/md-to-word ↗

    用 Markdown 写稿,导出符合学校与期刊要求的规范 Word。排版格式逐条声明在 requirements.txt,改一行就整篇换格式。面向学位论文、期刊、公文与白皮书。AI Agent Skill。

  5. GitHub · Repository created · First archived

    abbcreat-cyber/stepfun-harness ↗

    阶跃星辰 Harness|让 AI 在桌面真正开工:订阅与 API、多代理工作流、插件、Mini。A desktop AI workspace powered by Step Code.

  6. arXiv · Published · First archived

    Large-Scale Benchmarking of Quantum Neural Network Configurations for Financial Time Series Forecasting ↗

    Quantum machine learning, and quantum neural networks (QNNs) in particular, are advancing fields with growing potential. Although systematic comparisons of QNN configurations have been explored primarily for classification tasks, comparatively little attention has been given to regression problems, particularly financial time series forecasting. This study presents a large-scale systematic comparative evaluation of QNN component configurations for financial time series forecasting, using the GBP/USD spot exchange rate as a case study. A grid search across encoding methods, ansatz designs, qubi…

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

    Classifying Emails with Jev and the OpenAI Decisions API ↗

    Hacker News discussion.

  8. GitHub · Repository created · First archived

    Miftahul-Islam-Efaz/Motion-graphics-skill ↗

    Best Motion graphics and video editing skill for Claude Code, Codex and Cursor. Plan, animate, edit, caption and sound-design complete videos, rendered locally without After Effects.

  9. GitHub · Repository created · First archived

    salient-data/qwen38-next-dgx-recipe ↗

    Reproducible vLLM recipe: nvidia/Qwen3.8-Flash-Next-NVFP4 on one NVIDIA DGX Spark (GB10) — pinned nightly, patches with provenance, build/launch scripts, results with method

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

    The SQL ran fine. 58% of the answers were wrong (AI agents on a real warehouse) ↗

    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.