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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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5198 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. Hugging Face · Model / dataset date · First archived

    furiosa-ai/bge-reranker-v2-m3 — model update ↗

    # bge-reranker-v2-m3 This repository contains [`BAAI/bge-reranker-v2-m3`](https://huggingface.co/BAAI/bge-reranker-v2-m3) together with a Furiosa Executable Bundle (FXB) for running it on [FuriosaAI RNGD](https://furiosa.ai) with [Furiosa-LLM](https://developer.furiosa.ai/latest/en/furiosa_llm/intro.html). The same model also runs on other frameworks (such as FlagEmbedding, Sentence Transformers, and Transformers); for usage with those, see the upstream [`BAAI/bge-reranker-v2-m3`](https://huggingface.co/BAAI/bge-reranker-v2-m3) model card. ## Overview BGE Reranker v2 M3 is a multilingual cross

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

    endomorphosis/ipfs_palau_laws — dataset update ↗

    # IPFS Palau Laws Structured corpus of Palau national laws and legal instruments. This dataset follows the same schema used by the IPFS Datasets legal corpora: - `data/laws.parquet`: one row per law / legal instrument with full text. Wave 13 build (2026-10-13): additive merge by instrument ID (longest-text-wins) of the previously published corpus with newly collected instruments (FAOLEX via Wayback CDX enumeration + live FAO PDF hosts, and WIPO Lex), with a normalized-title duplicate guard. ## Counts - laws_rows: 143 ## Schema (data/laws.parquet) Columns: id, title, text, source_url, source_ty

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

    SwapniL-pr1117/qwen2.5-0.5b-instruct-fc — model update ↗

    # qwen2.5-0.5b-instruct-fc **Qwen2.5-0.5B-Instruct** fine-tuned with **QLoRA (Unsloth)** for **function calling**. Give it a list of tools and a request; it returns the tool call(s) to make as a **JSON array**. Small enough to run on a laptop CPU or a 6 GB GPU. Code, evaluation and serving stack (vLLM + LangGraph gateway with guardrails + Langfuse): https://github.com/SwapnilGEU/Toolcaller-SLM ## Results Frozen test set of **2,929** xLAM questions, greedy decoding, scored by the same code for base and fine-tuned model. | Metric | Fine-tuned | 95% CI | |---|---|---| | exact_match | 78.0% | 76.5

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

    GPT-2 on the GPU ↗

    Hacker News discussion.

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

    Has AI tells ↗

    Hacker News discussion.

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

    AI, Slop, and Where I Draw the Line ↗

    Hacker News discussion.

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

    Anthropic's Claude cruelty policy risks humanising AI ↗

    Hacker News discussion.

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

    Study: LinkedIn profiles are barely visible to search and AI ↗

    Hacker News discussion.

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

    I Deleted 168,000 Lines of Comments. My AI Agent Didn't Notice ↗

    Hacker News discussion.

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

    Why do LLM pelicans look like this? ↗

    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.