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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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6026 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

    efekoca/ai-usage-tracker ↗

    Private, local tracker for Claude Code, Codex and Antigravity usage, cost and plan limits on Windows, macOS and Linux

  2. GitHub · Repository created · First archived

    xxDoman/strata-gfx906 ↗

    Strata v0.1.43 engine (Qwen3.8-Flash-Next) on AMD gfx906 — Instinct MI50 / MI60, Radeon VII. Docker image + web configurator with the gfx906 rocBLAS solution table (+9.1% prefill, measured), expert-tail-skip toggles, and the community benchmark with its report header fixed on AMD. OpenAI/Anthropic API, image input.

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

    Gemini 4 Argon Fails to Compete with ChatGPT and Claude ↗

    In my website Nasengetu Tech, I have given a deep dive as to where specifically it lags behind, what are the downsides of the restricted release of the model and suggested solutions for Google DeepMind to consider. You can go on Google search and write "Nasengetu Tech", and visit the site where you can find the article on top.

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

    Writing Evals for Agentic Systems as a 4 Step Loop ↗

    Hacker News discussion.

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

    Run Claude Code, Codex and Cursor side by side with your team ↗

    Hacker News discussion.

  6. GitHub · Repository created · First archived

    justAnArthur/hackyeah-review ↗

    HackYeah 2026 finalists and uploads, scored out of 100 by an AI council against each task's criteria

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

    Is Russia using AI for disinformation in CAR? ↗

    Hacker News discussion.

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

    Looking Glass Universe: The Real Story Behind What Happened at OpenAI [video] ↗

    Hacker News discussion.

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

    raftbioworks/frameflow-ltx-resfix-r4-staged-12h-20261002 — dataset update ↗

    # resfix_r4_staged_12h Joint protein representation autoencoder ablation. See config.yaml, provenance.json and status.json for the exact configuration and progress. W&B: https://wandb.ai/gaorory-ucla-team/frameflow-ltx/runs/bkw73769 Exact FP32 model weights are retained every 5 optimizer steps inside immutable checkpoints/*.tar shards. Each member is a torch checkpoint containing `vae`, `config`, `step`, and `train_seconds`. checkpoints.jsonl records member names and SHA-256 hashes. Extract a member with Python tarfile, then load with torch.load. Full optimizer/RNG/data-position checkpoints ar

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

    ji-farthing/Qwen3.8-Flash-Next-ik-llama-GGUF — model update ↗

    **HuggingFace's download widget (right pane -->) does not recognize _KT ggufs. Download links are in the table below.** # Qwen3.8-Flash-Next, ik_llama.cpp GGUF **GGUF update: v2 of the IQ4_KT, ~8GB smaller with the same throughput and KLD to BF16 as the gguf in this repo, is at https://huggingface.co/ji-farthing/Qwen3.8-Flash-Next-ik-llama-GGUF_v2.** Text-only GGUF conversions of Qwen3.8-Flash-Next, quantized with an importance matrix calibrated for agentic coding, plus the model's own MTP draft head as a companion file for speculative decoding. All three files were built directly from Qwen's

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