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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.
Open in the map ↗5194 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.
- Hacker News · Posted on Hacker News · First archived
Show HN: OSS AI engineering telemetry without collecting prompts or code ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: AI Interview Index – which companies allow AI in coding interviews ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Go code review skill Claude ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Why Does AI Write Like Yoda? ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Run AI-generated logic safely inside your app ↗
Stof is an open-source runtime for logic you don't own or fully trust. Imagine a JSON document with functions inside, scoped to just the document that contains them. Stof instantiates this doc as a small wasm env, and makes these functions safe to call. They can't access or manipulate anything but their own doc. WebAssembly by itself is large in binary form, requires a lot of tooling, etc. Stof can be sent over the wire easily, is a superset of J…
- Hugging Face · Model / dataset date · First archived
HuggingAI4Engineering/cadgenbench-submissions — dataset update ↗
# CADGenBench Submissions Submissions and evaluation results for the **CADGenBench** leaderboard. - **Leaderboard Space**: [`HuggingAI4Engineering/CADGenBench`](https://huggingface.co/spaces/HuggingAI4Engineering/CADGenBench). - **Benchmark code**: [`github.com/huggingface/cadgenbench`](https://github.com/huggingface/cadgenbench). - **Fixture inputs**: [`HuggingAI4Engineering/cadgenbench-data`](https://huggingface.co/datasets/HuggingAI4Engineering/cadgenbench-data). - **Ground truth**: [`HuggingAI4Engineering/cadgenbench-data-gt`](https://huggingface.co/datasets/HuggingAI4Engineering/cadgenben
- Hugging Face · Model / dataset date · First archived
datamatastudios/ai-requirements-index — dataset update ↗
 # Datamata AI Requirements Index How fast AI skills are becoming a job requirement: the share of active tech job listings mentioning AI skills, tracked over time and split by skill tier (generative AI vs classic ML), job category and seniority. Listing-level shares — a listing counts once per tier no matter how many AI skills it lists. - **Latest snapshot:** 2026-10-14 - **Rows in this release:** 5265 - **Updated:** daily - **Licence:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — free to use and adapt, including commerc
- Hugging Face · Model / dataset date · First archived
AtomicChat/Ling-3.1-flash-GGUF — model update ↗
# How to Run Ling 3.1 flash Locally GGUF builds of inclusionAI's Ling 3.1 flash with our own importance matrix. The calibration corpora behind our builds are public. Runs in llama.cpp build b11571 or newer. Day-one upload: more files and the measurements (KL divergence and top-1 against the BF16 model) land on this card today. ## Pick a file | File | Size on disk | KL divergence | top-1 | Status | |---|---:|---:|---:|---| | `AD-Q8_0` | 600.8 GB | 0.00503 | 97.88% | available | | `AD-Q6_K` | 478.0 GB | 0.00557 | 97.72% | available | | `AD-Q5_K_M` | 400.2 GB | 0.00766 | 97.34% | available | | `A
- Hacker News · Posted on Hacker News · First archived
Production-grade RAG for complex tables with Docling ASTs and VLM repair ↗
Hacker News discussion.
- GitHub · Repository created · First archived
angelkurten/keel ↗
Context layer for AI agents in vertical SaaS: domain events in, a bitemporal context graph per end-customer out, five MCP tools for every agent.
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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