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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.
- arXiv · Published · First archived
CUA-SWE: When Computer-Use Agents Meet Visual Software Engineering ↗
Software development requires more than editing code: developers repeatedly run software, interact with its interfaces, visually inspect its behavior, and use these observations to decide what to change next and whether a change works. Existing coding agents and computer-use agents are largely studied in isolation, leaving this integrated development process underexplored. Diagnosing a runtime interaction failure requires agents to connect visual observations with the responsible code, then use the application again to verify the repair. We introduce CUA-SWE, a benchmark, environment, and eval…
- Hacker News · Posted on Hacker News · First archived
Understanding the Impact of LLM Watermarking on AI Agent Behavior ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Meta Expands Private Processing Confidential Computing to AI Glasses ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
OpenAI Accuses Plaintiffs' Lawyers of Funding and Laundering Copyright Evidence ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
No Blind Trust: Type Systems and Formal Verification for AI-Generated Code ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
CEO of Mistral: AI is software. It can be controlled ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Google's orbital AI data center test packs four TPUs and 1,000W of solar power ↗
Hacker News discussion.
- arXiv · Published · First archived
Reading Is Not Leaking: Local, Auditable Measurement and Reduction of Inference Exposure from Public Footprints ↗
Anyone with a public footprint leaks facts that were never stated, and language models make the inference cheap. We present a framework for measuring and reducing this inference exposure that runs on the owner's own CPU with no language model at analysis time, instantiated on organisations and on individuals. It starts from a measurement result: scoring an inference system against the target's private truth conflates how well the system reads the record with how much the record leaks. On a 128-question instrument over sixteen synthetic firms, almost half of the questions are never answered cor…
- arXiv · Published · First archived
REFINE: A Resilient Evolution Framework for Intelligent Enterprise Alert Triage in Security Operations Centers ↗
Security Operations Centers (SOCs) process large volumes of alerts daily. Alert triage prioritizes high-risk threats while reducing manual review of benign alerts. LLM agents can reason over logs and threat intelligence, but struggle to keep aligned with organization-specific, rapidly evolving SOC operational standards. We introduce REFINE, an LLM-agent framework for enterprise alert triage. REFINE encodes analyst expertise as structured skills and continuously adapts using analyst disposition feedback. It enforces recall = 1.0 as a hard constraint during evolution to maximize auto-closure of…
- Hacker News · Posted on Hacker News · First archived
Claude Opus 5.5 Should Raise Your Ambitions ↗
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.