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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 ↗5202 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
abrar06/apollo-click — model update ↗
# Odyssey-Click V5 ## Verified ScreenSpot-v2 Benchmark (Step 1200) * **Overall Accuracy:** 15.80% * **Text Accuracy:** 15.32% * **Icon Accuracy:** 16.43% * **Mean Pixel Error:** 347.5 px
- Hacker News · Posted on Hacker News · First archived
Building an AI Product Alone: How I Control API Costs ↗
Hacker News discussion.
- arXiv · Published · First archived
SWE-Stream: Scaling Executable Training Data for SWE Agents via Progressive Construction and Elastic Streaming ↗
Software engineering agents have advanced rapidly, but scaling their training remains constrained by the limited availability of high-quality executable tasks. Development histories contain valuable signals for constructing such tasks, yet they often require substantial reconstruction due to incomplete environments, missing tests, and inconsistent artifacts. We present SWE-Stream, a system for scaling executable SWE training data through progressive construction and elastic streaming execution. SWE-Stream progressively validates and refines task candidates, reusing existing artifacts when poss…
- Hacker News · Posted on Hacker News · First archived
Tessaract: lightweight layer for unified LLM inference ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Nothing threw: 84 AI agent failures in a live business, 10 caught automatically ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Veduta – Personal Agent with GenUI ↗
The idea came to me while I was watching a livestream with Antirez and mr RIP, one of the first streams they did together. I thought Antirez might be right when he said that once AI agents moved beyond the terminal, we would reach a whole new level. So I decided to create "Veduta", which is basically Hermes/OpenClaw but with a UI. What exactly is the advantage? It could track everything for you and give you visual feedback without you actually ha…
- Hacker News · Posted on Hacker News · First archived
Just Using Claude No Longer Generates Alpha ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
The AI commerce era: 7 e-commerce leaders on what's still broken ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Gemini 4: A New Hope for AI Hackers ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI agent behavior drift analysis with Cloudflare Clef ↗
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.