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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 ↗5844 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
OOM-RL II: Reality Is an Oracle, Not a Debugger Provenance-Constrained Diagnosis in Continually Evolving Agent-Engineered Systems ↗
Reality may establish that an outcome occurred without identifying which evolving procedure produced it or why. This distinction matters in production ML systems whose code, configuration, and artifacts change while external feedback accumulates. We examine it in a human-directed, agent-engineered quantitative trading system, using oracle to mean an external source of realized outcomes rather than a complete correctness specification. Across one year, the account gained and outperformed a broad market index, while annual alpha was not statistically distinguishable from zero under the main retr…
- Hacker News · Posted on Hacker News · First archived
Canada launches national council to advise on artificial intelligence ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI firm HUMXN offers free plumbing and HVAC service in Minnesota to train robots ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI could be good for open source ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI and the Speed of Idea Execution ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
The Oracle AI Data Center Train Wreck ↗
Hacker News discussion.
- arXiv · Published · First archived
TestGRAD: Evolving Test Suites via Failure Pattern Momentum for SWE-Agent Ensemble ↗
SWE-agent ensembles improve issue resolution by combining candidate patches from different agents with complementary strengths. The central problem is therefore test-based selection: generate tests, execute candidate patches, and identify the best patch. We formulate this process as test-space optimization: evolving an executable repository test suite until it distinguishes competing patches. Existing test-generation methods are limited optimizers. They usually lack an explicit loss for ensemble selection, optimize through incomplete directions that mostly create new tests or delete old ones,…
- Hacker News · Posted on Hacker News · First archived
As AI Closed in on 'Unique Games' Proof, Researchers Raced to Beat the Machines ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI Measurement Science ↗
Hacker News discussion.
- arXiv · Published · First archived
ProtocolMatch: Protocol-Dependent Model Selection for Scientific Dynamics Forecasting ↗
Scientific dynamics forecasting is often framed as an architecture choice, although deployment is also determined by observed history, rollout feedback, compute budget, physical objective, and test distribution. We formulate protocol-dependent model selection and introduce ProtocolMatch, a compute-matched, validation-selected, and failure-preserving evaluation framework. On driven quantum-spin dynamics, we compare recurrent, patched-attention, causal-attention, and low-rank linear predictors across three independently generated datasets. The causal-attention--recurrence ordering reverses as th…
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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