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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 ↗5983 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:ProjectTodo: A local todo board with an MCP server for your AI assistant ↗
Hacker News discussion.
- arXiv · Published · First archived
Information-Dense Synthesis for Molecular Discovery ↗
Machine learning can accelerate molecular discovery by designing molecules and planning experiments. However, many scientific challenges demand molecules with very rare properties, and in this sparse setting, existing algorithms offer little gain over random guessing. We propose a method to efficiently search large regions of molecular space using algorithmically controlled stochastic synthesis. Rather than design, make and test individual molecules, we design and make complex mixtures, test them as a pool, then deconvolute the molecule-activity map. We optimize synthesis to encode maximal inf…
- Hugging Face · Model / dataset date · First archived
988tg/repo-name — dataset update ↗
--- license: cc-by-4.0 language: - en tags: - synthetic - reasoning - code-generation - instruction-tuning size_categories: - 10K 2σ above mean perplexity were removed). - Format compliance checking via regex validators. Inter-annotator agreement metrics are not applicable due to the synthetic nature of the dataset. #### Who are the annotators? Not applicable. All quality signals are derived from automated verification procedures. #### Personal and Sensitive Information The dataset contains no personal information, PII, or sensitive attributes. All content is synthetically generated from publi
- Hugging Face · Model / dataset date · First archived
dawn-neo/JLT — model update ↗
# Equivalent Flows, Unequal Learning: Clean-Latent Prediction in Transformers [](https://arxiv.org/abs/2605.27102) [](https://akatsuki-neo.github.io/JLT) [](https://github.com/akatsuki-neo/JLT) Figure 1 : Matched Base-scale qualitative comparison on class-conditional ImageNet 256×256. Generations from matched B/1 models: clean prediction (x̂) preserves global coherence, boundary crispness, and fine details, wher
- Hacker News · Posted on Hacker News · First archived
OpenAI uses substantially different model for subs vs. API? ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Scrbbl – Underline your handwritten notes on iPad to get AI answers ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
TasteVal: Does AI have research taste? ↗
Hacker News discussion.
- arXiv · Published · First archived
Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events: A Population Risk Layer for Surgical Digital Twins ↗
Learned surgical simulators and world models can roll out plausible procedural futures, but they carry no grounded estimate of how often interventional devices actually harm patients. We propose treating population-scale adverse-event surveillance as a distinct belief layer of the surgical digital twin, and we evaluate a federated Bayesian protocol for learning it under formal privacy guarantees. Each site holds per-class Gamma-Poisson posteriors over adverse-event rates and exchanges only Rényi-differentially-private natural-parameter updates. We benchmark on the complete FDA MAUDE cohort for…
- Hacker News · Posted on Hacker News · First archived
Show HN: Langgraph-harness - self-hosted AI agent for GitLab merge requests ↗
Hacker News discussion.
- GitHub · Repository created · First archived
OrgoAI/bops ↗
Bops: a team of AI bots that run your business ops, each with its own computer, email and phone number. bops.bot
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.