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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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5220 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

    MuscleMemory: Open-source procedural memory for AI agents ↗

    Hacker News discussion.

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

    Reverse Engineering Community Shuts Down Because AI Has Made It Too Easy ↗

    Hacker News discussion.

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

    AgentCrush/agents-index — dataset update ↗

    # AgentCrush Agent Index Evidence-ranked index of the AI agent economy. Updated daily from [agentcrush.xyz](https://agentcrush.xyz). ## Overview - **1,453 agents** indexed across categories: developer tools, tokenized agents, service agents, model families - **229 evidence-ranked** with verified multi-signal scores - Updated: **2026-10-16** ## Configs | Config | Description | Rows | |---|---|---| | `agents` | All indexed agents with metadata | ~1,453 | | `evidence_ranked` | Evidence-ranked tier only | ~229 | | `snapshots_latest` | Most recent snapshot per agent | ~1,453 | ## Schema | Field | T

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

    Vishva007/Qwen3.5-9B-W4A16-AutoRound-NVFP4 — model update ↗

    # Vishva007/Qwen3.5-9B-W4A16-AutoRound-NVFP4 This is an **NVFP4 (W4A16: 4-bit weight, 16-bit activation)** quantized version of [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B), produced using [AutoRound](https://github.com/intel/auto-round) — Intel's sign gradient descent based quantization method designed for production-grade accuracy retention. Exported via `compressed-tensors` (`llm_compressor` format) with **MTP** layers preserved. ## Quantization Details | Parameter | Value | |---|---| | Method | AutoRound (NVFP4 Scheme) | | Format | `llm_compressor` / `compressed-tensors` | | G

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

    Vishva007/Qwen3.5-4B-W4A16-AutoRound-NVFP4 — model update ↗

    # Vishva007/Qwen3.5-9B-W4A16-AutoRound-NVFP4 This is an **NVFP4 (W4A16: 4-bit weight, 16-bit activation)** quantized version of [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B), produced using [AutoRound](https://github.com/intel/auto-round) — Intel's sign gradient descent based quantization method designed for production-grade accuracy retention. Exported via `compressed-tensors` (`llm_compressor` format) with **MTP** layers preserved. ## Quantization Details | Parameter | Value | |---|---| | Method | AutoRound (NVFP4 Scheme) | | Format | `llm_compressor` / `compressed-tensors` | | G

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

    AI training data and RL environment vendors ↗

    Hacker News discussion.

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

    Show HN: Beeline Multiplayer Agent Harness ↗

    Shipped Beeline today. It's a team chat for humans and agents - a kind of multiplayer harness. You can bring your codex, Claude code, opencode subscriptions and also works with pi and goose. We built beeline itself with early versions of beeline, and use it to build our other projects - it's boosted productivity quite a bit for us. Demo video: https://youtu.be/ACdelpZC2z4?is=pP6MFxJODvKcGjQt The key insight is that humans do their best work in te…

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

    Show HN: Firmenza – An AI employee for SAM.gov ↗

    Hacker News discussion.

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

    Space (AI agent containment sandbox) software open source ↗

    Hacker News discussion.

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

    Gemini 4 Argon in Antigravity to Paid Google AI Pro ↗

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