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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 ↗5958 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
CodeCrab – Local-first desktop app for AI code reviews ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Anthropic IPO leak is insane ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Reliable AI Automation done right (it's not a model this time) ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Software Investing in the Age of AI and Slower Growth ↗
Hacker News discussion.
- arXiv · Published · First archived
Say, Echo, Do: Strategic Narratives and Revealed Positioning in Financial Markets ↗
Machine-learning signals built from financial text treat what institutions say, and what the media repeat, as evidence about value. But whoever shapes a narrative may be trading against it. We study markets with three observable voices: institutional statements (Say), media repetition (Echo) and revealed positioning (Do). We ask when words should be followed and when they should be faded. In a linear-quadratic model of an informed institution that speaks and trades before a partly credulous crowd, talking an asset down while buying it is optimal exactly when $\varphi^2<2λk<\varphi$. A distribu…
- Hugging Face · Model / dataset date · First archived
chenhunghan/tw-tree — dataset update ↗
# Taiwan tree cover 1984–2026 (tw-tree) Tree fraction (0–100 %) per 30 m Landsat pixel for each year, with per-pixel provenance back to the single raw Landsat scene each value came from. Data for the 3D viewer 臺灣樹冠時光機 ( ). Releases: - **`taiwan/` — island-wide v3, normalised (2026-09-29).** 761 tiles in UTM zones 51 and 50 covering the main island, Penghu, Kinmen and Matsu (36,319 km² of land; 3.57 M ha of land pixels after the water mask), with a per tile-year reflectance normalisation that removes most of the drift over time (see Method). Code: . - **`taiwan_raw/` — the same release without
- Hugging Face · Model / dataset date · First archived
peculiar-ragdoll/Tiel-Coder-35B-A3B-MLX-oQ6e — model update ↗
> **These numbers were measured on the GGUF build, not this one.** The plates on this page are the best > evidence we have about TielCoder, and we would rather show them than show nothing — but this file > uses a different quantizer (oMLX's oQ against llama.cpp's k-quants), and changing quantizer moves > results. On the same Nail weights we measured a 0.7-point MMLU-Pro gap and a 24% difference in > token counts between MLX and GGUF. Read them as evidence about the *model*, not as measurements of > *this* file. If you need numbers you can hold us to, use the > [GGUF build](https://huggingface.
- Hacker News · Posted on Hacker News · First archived
Artifical Analysis - GPT-6.1 Sol Replaces 6 Sol After 7 Days ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Rats are constantly talking to each other. Boston is using AI to eavesdrop ↗
Hacker News discussion.
- GitHub · Repository created · First archived
jsobolewski1/fondue ↗
🫕 One pot, everyone brings a fork, no double-dipping. A team of AI agents that plan, build and review each other's work, with you as the team lead. Spec-driven development and bug hunting for Claude Code.
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.