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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 ↗6053 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.
- GitHub · Repository created · First archived
hbk2636/neshank ↗
Free, open-source macOS bookmark manager: AI chat about your links, link→mind map, built-in video downloader (YouTube, 1700+ sites), offline & private. 免费开源书签管理器 · نشانک
- Hacker News · Posted on Hacker News · First archived
Show HN: AI code review optimized for precision over number of findings ↗
Hacker News discussion.
- arXiv · Published · First archived
Towards Automatically Pruning Logging Code with Coding Agents: How Far Are We? ↗
Logging code supports debugging, monitoring, and software maintenance, but excessive logging can add noise, impose runtime overhead, and obscure diagnostic information. While prior research has extensively studied logging code generation and modification, logging removal remains comparatively underexplored. In this paper, we study developer logging removal practices and explore the use of coding agents for this task. We extract and manually validate logging removal cases from Python and Java repositories and derive 10 removal patterns and 11 removal reasons that characterize how and why loggin…
- Hacker News · Posted on Hacker News · First archived
Wake me up when AI can ↗
Hacker News discussion.
- GitHub · Repository created · First archived
alexknowshtml/claude-auto-handoff ↗
Claude Code mod: hand a long session off to a fresh one with a structured brief, instead of auto-compacting
- Hacker News · Posted on Hacker News · First archived
Steer a coding agent on your own machine from Claude/ChatGPT (via MCP) ↗
Hacker News discussion.
- GitHub · Repository created · First archived
atinfinity/cc-calendar ↗
Google Calendar-style weekly view of your Claude Code sessions — local, live, read-only
- Hacker News · Posted on Hacker News · First archived
Show HN: RepoGuard – Architecture linter for AI-generated code (Cursor, Claude) ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Getting the most out of Opus 5.5 in Claude and Claude Code ↗
Hacker News discussion.
- arXiv · Published · First archived
Not Self-Decidable: LLMs Cannot Draw the Boundary of What an Agent Verifier Can Check ↗
A verifier for an agent faces rules of two kinds: the ones a fixed check can settle and the ones that require a judge. A team that derives its own checks fixes that split up front. Where the requirements come from outside, as in finance, healthcare and law, the agent enforces rules it did not write, so the split falls to runtime, recurring for every predicate of every rule on every action at a rate no reviewer can audit. Every escalation scheme assumes a model can make that decision itself, that it is self-decidable. Across six corpora, including the EU AI Act, FINRA guidance and a deployed cr…
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.