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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 ↗6050 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.
- arXiv · Published · First archived
Less is more: error-distance scaling relation for data-efficient kilometer-scale downscaling of extreme heat ↗
Extreme heat is where urban adaptation needs kilometer-scale data the most, but the simulations training a downscaler can cost more than they save, and how much is needed has not been identified. We measured it with CASPER, a U-Net with a structure-preserving loss downscaling 32 km reanalysis to 1 km temperature, humidity and wind, across 24 configurations of one to eight months. Held-out error grows linearly with climatological distance to the training data, RMSE = 0.83 + 2.95 d, explaining 90% of its variance against 7% for volume and predicting unseen months in advance. On held-out extreme…
- Hacker News · Posted on Hacker News · First archived
OpenAI after DevDay 2026: known issues for serious development work ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: RuleReceipt – check if your coding agent followed your Claude.md ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
LLM gave you an answer. Should your application trust it? ↗
Hacker News discussion.
- arXiv · Published · First archived
A machine learning-based method for populating dark matter halos in N-body simulations with substructure ↗
Dark matter N-body simulations that resolve halo substructure (subhalos) with high accuracy can be used for generating reliable catalogs of central and satellite galaxies via galaxy-halo connection models. However, such simulations are computationally expensive, especially when large numbers of realizations are required for statistical analyses such as robust estimations of covariance matrices for (statistical) cosmological quantities. In this work, we present a fast method for populating dark matter halos in a given simulation box with subhalos extracted from a high-resolution simulation box…
- Hacker News · Posted on Hacker News · First archived
Show HN: Beyond "chat with your database" – agentic data exploration ↗
Business intelligence is changing. AI can now do more than turn a question into a single SQL query: it can investigate a question through a series of queries, examining the result of one query to decide what to query next. Today, to answer a business question against a database, analysts use a tool like Tableau: they select relevant data, build an initial view using fields, filters, calculations, and visualizations, then look for patterns or anom…
- GitHub · Repository created · First archived
CSantosM/agent-watch ↗
Agent Watch: watch your coding agents from the VS Code status bar: one dot per session (working, waiting or idle), what each is doing, the files it changed. Supports Claude Code.
- arXiv · Published · First archived
MAGiDiff: Sampling the Photospheric Vector Field from UV/EUV Filtergrams ↗
Photospheric vector magnetic fields are foundational to modeling, understanding, and forecasting solar activity. These data are usually produced by inverting and disambiguating the full Stokes vector at multiple passbands, which is demanding. Here, we investigate how well we can estimate photospheric vector magnetograms from UV/EUV filtergrams. This problem is challenging and intrinsically ambiguous without polarization information, as the mapping from UV/EUV intensity to the magnetic field is indirect and ill-posed. We introduce MAGiDiff, a machine-learning-based method that uses denoising di…
- Hacker News · Posted on Hacker News · First archived
AI Stance Is Not Binary ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Pay Per Use: when AI uses your work, you should get paid ↗
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.
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