THE INTERNET IS THINKING
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.
Open in the map ↗5186 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.
- Hugging Face · Model / dataset date · First archived
endomorphosis/ipfs_el_salvador_laws — dataset update ↗
# IPFS El Salvador Laws Structured corpus of El Salvador 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: 990 ## Schema (data/laws.parquet) Columns: id, title, text, source_ur
- Hugging Face · Model / dataset date · First archived
endomorphosis/ipfs_north_korea_laws — dataset update ↗
# North Korea Laws Legal corpus for North Korea from the ipfs_datasets_py legal scrapers (endomorphosis). - Instruments: 84 - Last updated: 2026-09-16 - Source: official gazettes and legal portals; see source_url per record. ## Scrapers & normalizer The scrapers and normalizer that produced this dataset are published in [justicedao/world_law_scrapers](https://huggingface.co/datasets/justicedao/world_law_scrapers) (canonical schema: `law_id, id, title, text, source_url, document_number, article_number, record_type, metadata_json`, matching endomorphosis/ipfs_malta_laws).
- Hugging Face · Model / dataset date · First archived
endomorphosis/ipfs_san_marino_laws — dataset update ↗
# San Marino Laws Legal corpus for San Marino from the ipfs_datasets_py legal scrapers (endomorphosis). - Instruments: 380 - Last updated: 2026-09-16 - Source: official gazettes and legal portals; see source_url per record. ## Scrapers & normalizer The scrapers and normalizer that produced this dataset are published in [justicedao/world_law_scrapers](https://huggingface.co/datasets/justicedao/world_law_scrapers) (canonical schema: `law_id, id, title, text, source_url, document_number, article_number, record_type, metadata_json`, matching endomorphosis/ipfs_malta_laws).
- Hugging Face · Model / dataset date · First archived
minhy112/SCOPE — model update ↗
# SCOPE Research checkpoint repository for the SCOPE-KG project and its controlled baseline comparisons on ScienceQA and a documented Text–Image resplit of MultiModalQA. Experiments are in progress. A checkpoint is not evidence that SCOPE outperforms MIRA or that the paper is complete. Validation and test results are distinguished in each run manifest. Checkpoint selection uses validation only; test scores must not guide subsequent training or model selection. Uploads contain project-trained reader heads/adapters and, when applicable, project-trained retriever/selector weights, with configurat
- Hugging Face · Model / dataset date · First archived
Arki05/LFM2.5-2.6B-GGUF-shards — model update ↗
# LFM2.5-2.6B, every tensor at every type [LiquidAI/LFM2.5-2.6B](https://huggingface.co/LiquidAI/LFM2.5-2.6B) quantized to 25 llama.cpp types, each tensor at each type, for assembling GGUFs with a type per tensor. - Source: [bartowski/LiquidAI_LFM2.5-2.6B-GGUF](https://huggingface.co/bartowski/LiquidAI_LFM2.5-2.6B-GGUF)'s BF16 GGUF and imatrix, unchanged (`source/`, `imatrix/`). - `types/`: quantized with llama.cpp's `llama-quantize` (commit `d81235049`); modified versions of the original weights. LFM Open License v1.0 (`LICENSE`), as the original model.
- Hacker News · Posted on Hacker News · First archived
The Art of Building AI Coding Agents: The book that builds itself ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: A Claude skill that answers B2B marketing questions from one method ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Eight states sue OpenAI, saying ChatGPT isn't safe for kids ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
SoftBank junk bond sale raises stakes for CEO Son's all-in AI bet ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Tell HN: Don't mass spam employers with LLM generated emails ↗
If you're looking for a job, do -not- have Claude bulk email every company on "Who's Hiring". These things all look the same and your message is just going to get marked spam. For example, it's painfully obvious that our staff eng role's "combination of distributed execution, workload optimization, and cost-aware infrastructure" is not, in fact, "unusually close" to whatever line on your resume Claude decided is tangentially relevant. Just write…
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 ↗
Follow a thread
Explore related regions
These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.