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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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5206 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

    AI-assisted PCB design for KiCad 10 ↗

    Hacker News discussion.

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

    OwlLayer – Make your web UI drivable by AI ↗

    Hacker News discussion.

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

    Show HN: Building an LLM from Scratch in TypeScript ↗

    I wanted to understand transformers at a level where nothing is magic, so I'm building a ChatGPT-style model from first principles in TypeScript. Why not Python? I've found that reimplementing concepts in a different language forces me to grasp the nuance of the implementation. Chapters cover dataloaders, embeddings, and the attention mechanism so far. Feedback welcome if anything's unclear.

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

    AI Laser Locking for Quantum Computers: How QuEra Automates It ↗

    Hacker News discussion.

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

    I let an AI run my startup for a week ↗

    Hacker News discussion.

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

    Ask HN: Why do people say "I built it" when we should say "Claude built it"? ↗

    It's just something I've been wondering about. Everyone says, “I built it,” but really we should say, “Claude built it for me,” or maybe, “I asked Claude to build this.”

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

    nagarhimanshu37/nifty-session-logs — dataset update ↗

    # 🚀 Nifty 50 AI Agent — Kaggle Session Logs & Accuracy Telemetry This dataset repository contains structured session telemetry, real-time trade signals, risk gate evaluations, agent decisions, and accuracy improvement reports generated by the **Nifty AI Brain Agent** running autonomously on Kaggle dual T4 GPU environment. --- ## 📂 Repository Structure ``` nagarhimanshu37/nifty-session-logs ├── README.md ← Telemetry overview & session log index ├── latest_report.json ← Latest session accuracy & weakness report └── sessions/ └── / ├── session_meta.jsonl ← Session start/end timestamps & runtime

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

    francesca9805/nor-latn-100mb-100mb_seed455 — model update ↗

    # Model Card for nor-latn-100mb-100mb_seed455 This model is a fine-tuned version of [goldfish-models/nor_latn_100mb](https://huggingface.co/goldfish-models/nor_latn_100mb). It has been trained using [TRL](https://github.com/huggingface/trl). ## Quick start ```python from transformers import pipeline question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" generator = pipeline("text-generation", model="francesca9805/nor-latn-100mb-100mb_seed455", device="cuda") output = generator([{"role": "user", "content": quest

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

    francesca9805/tur-100mb-after-wc-loglinear-newlex-before-ckpt500-packed-bfdiso_seed10 — model update ↗

    # Model Card for tur-100mb-after-wc-loglinear-newlex-before-ckpt500-packed-bfdiso_seed10 This model is a fine-tuned version of [francesca9805/ppt-wc-loglinear-newlex-tur-before-100mb-packed-bfdiso_seed10](https://huggingface.co/francesca9805/ppt-wc-loglinear-newlex-tur-before-100mb-packed-bfdiso_seed10). It has been trained using [TRL](https://github.com/huggingface/trl). ## Quick start ```python from transformers import pipeline question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" generator = pipeline("text-

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

    Whole season of unaired TV show deleted weeks before premiere by AI agent ↗

    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.

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