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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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5223 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

    Show HN: AI Hub – Open Access Lesson Plans for Teaching Students about AI ↗

    The AI Hub provides 91 curated lesson plans teaching middle and high school students about AI - how it works, what the risks and benefits of AI are, and how it is impacting society. These activities come from six different nonprofit organizations that are building educational resources for classrooms. Our nonprofit worked with 16 different teachers to comb through more than 200 different resources, with the teachers vetting these resources to fin…

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

    Apples to Apples: Getting Type Mappings Right in LLM-Based Code Translation ↗

    Hacker News discussion.

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

    Show HN: I built a tool to track what AI leaders say and how their views change ↗

    Hacker News discussion.

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

    faraway00/stylization-csgo-data — dataset update ↗

    # CS:GO 四风格配对数据 本仓库以**原始CSGO、日漫、向日葵、万圣节**为主要风格,收录图片、视频及其可追溯来源。原始CSGO是真实引擎RGB;三种艺术风格是派生目标。白模属于条件输入,人物与武器设计图属于参考素材,不能作为额外训练样本计数。 | 风格 | 数据入口 | 最终演示与来源映射 | |---|---|---| | 原始CSGO | [original/batches](original/batches/) | [1min-demo](1min-demo/) | | 日漫(糸守/你的名字) | [anime](anime/) | [anime/demo-used-cases](anime/demo-used-cases/) | | 向日葵(金黄/钴蓝厚涂) | [sunflowers](sunflowers/) | [sunflowers/demo-used-cases](sunflowers/demo-used-cases/) | | 万圣节(骷髅女巫) | [halloween](halloween/) | [halloween/demo-used-cases](halloween/demo-used-cases/) | ## 最新成对图片 **2026-10-11:42个完整组,126张风格化目标,42张原始CSGO、42张白模输入,共210张PNG。**

  5. GitHub · Repository created · First archived

    ymatrix1/vantage ↗

    A calm, visual view of the true state of your AI-assisted work. Tracks work items from Asked to Verified on evidence, not agent claims, across Claude Code, Codex, git and PRs. Local-first.

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

    OpenAI employee arrested for allegedly planting a bug in a conference room ↗

    Hacker News discussion.

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

    FiveC/vinid-results — dataset update ↗

    # ViNID results Verified evaluation artifacts and source/runtime provenance. Runs live in `runs/full/ ` and `runs/smoke/ `. Each has predictions, full-precision metrics, benchmark and source snapshot. `indexes/full/ .json` references publication results; smoke is separate. Select a fixed commit SHA when collecting numbers. Existing runs are immutable.

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

    scottlowry/Qwen3.8-Flash-Next-oQ6e-mtp — model release ↗

    # Qwen3.8-Flash-Next-oQ6e-mtp This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.7.1.dev1) mixed-precision quantization. ## Quantization details - **Model type**: qwen4_exp - **Bits**: 6 - **Group size**: 64 - **Format**: MLX safetensors

  9. OpenAlex · Published · First archived

    Artificial intelligence and machine learning for sustainable polymeric marine antifouling coatings: current evidence, challenges, and future perspectives ↗

    Marine biofouling causes significant economic and environmental impacts by increasing drag, fuel consumption, emissions, maintenance costs, and material degradation. Despite advances in sustainable antifouling coatings, their development still relies largely on trial-and-error approaches. Recent advances in AI, ML, and materials informatics can accelerate the discovery and optimization of sustainable marine antifouling coatings by predicting performance, identifying structure–property relationships, and optimizing formulations while reducing experimental effort. Nevertheless, the direct applic…

  10. OpenAlex · Published · First archived

    G2T: Gate guided transformer for medical image segmentation ↗

    Abstract Inspired by the human cognitive process and memory capabilities, we present a novel vision transformer (ViT) in this paper, called G ate G uided T ransformer (G2T) for medical image segmentation. G2T addresses a key limitation of cascaded decoder blocks in vision transformers; that is their difficulty in retaining and propagating important information from earlier stages, which often leads to suboptimal feature decoding in later blocks. Our proposed G2T has (i) a novel feature-aware decoder (FAD) consisting of three convolutional gates named Refine, Expand, and Produce (REP), which de…

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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