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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.

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5500 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.

  1. Hacker News · Posted on Hacker News · First archived

    Show HN: CircleIt – Circle something on a web page, your coding agent fixes it ↗

    Hi HN! Agents have made our development so much faster and we've found that the bottleneck has moved to feedback from the rest of the team. We have marketers and sales teams that were screenshotting pages and providing notes via Google Docs which then had to be translated to prompts by devs. So we built CircleIt, a Chrome extension plus a Claude Code/Codex plugin. Anyone on the team can circle (and more!) things on any page (live/staging/dev), ex…

  2. Hacker News · Posted on Hacker News · First archived

    I Lost My Job to AI in China - Now What? [video] ↗

    Hacker News discussion.

  3. arXiv · Published · First archived

    $L_0$ Feature Selection via Monte Carlo Tree Search in High-Dimensional Financial Regression ↗

    Feature selection is a central problem in high-dimensional financial regression, where large numbers of engineered variables and strong correlations among predictors reduce model stability and interpretability. $L_1$ regularization (Lasso) is widely used for sparse regression, but its shrinkage can be restrictive when informative signals are spread across correlated variables. Exact sparse regression avoids this shrinkage but requires solving a combinatorial optimization problem that is computationally difficult and is typically fit to minimize in-sample rather than out-of-sample error. This p…

  4. GitHub · Repository created · First archived

    abacusai/simless ↗

    Simulator-free, headless SwiftUI checks for AI coding agents: render screens as accessibility trees and hot-reload views in ~2 s, without the iOS Simulator.

  5. GitHub · Repository created · First archived

    NazmusSayad/offsite ↗

    Claude Code in your browser. Shares sessions with the CLI, so you can start in one and resume in the other. Includes a terminal, file previews, and git diffs.

  6. Hacker News · Posted on Hacker News · First archived

    Qwen/Qwen-Image-2.1-Turbo ↗

    Hacker News discussion.

  7. Hacker News · Posted on Hacker News · First archived

    Ask HN: What if no AIpocalypse, no AI bubble, what if it just keeps advancing? ↗

    The two mainstream arguments are the extremes, because that's how our modern society rolls. It's either that there is an AI bubble that will crash, or that a rogue ASI will kill us all. What about the third possibility? What if GPT 3.5 -> Sonnet 3.5 -> Opus 4.5 -> Astra / Opus 5.5 just keeps going for the next few years? Based on my experience, that will eat all software and software-related meetings. Once lab researchers focus on fields other th…

  8. arXiv · Published · First archived

    Not All Correct Fixes Run Alike: An Empirical Study of Patch Performance in Repository-Level Issue Resolution ↗

    Repository-level issue-resolution benchmarks such as SWE-bench evaluate submitted patches primarily based on whether they pass the correctness tests, leaving the runtime performance of different test-passing patches largely unexplored. Evaluating patch performance is essential but challenging since designing performance workloads for each benchmark instance is costly. However, these benchmarks already provide a natural candidate: the built-in \emph{FAIL\_TO\_PASS} (F2P) tests, which exercise the behavior affected by the issue fix. We therefore investigate whether the provided F2P tests can be…

  9. Hacker News · Posted on Hacker News · First archived

    Patients are using AI to complain about their dentists ↗

    Hacker News discussion.

  10. Hacker News · Posted on Hacker News · First archived

    Anthropic Usage Policy to prohibit "abusive or cruel behavior" toward Claude ↗

    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.