Finding and fixing software bugs
- A PostgreSQL maintainer says AI-found bugs are slowing the next release — Finding defects faster can move the bottleneck to human review and repair.
- Major contributor Robert Haas expects PostgreSQL 19 to arrive in November or later. Three major features were removed late in the beta period.
- Between April 8 and September 25, commits to the release branch rose from 724 in 2025 to 1,169 in 2026. Fixes applied to the prior stable branch rose from 248 to 433.
- Haas says people are reporting many bugs found with language models. Generated fixes still need human review, and security and older-branch fixes compete with release work.
- Caveat: Haas offers a maintainer’s explanation for the delay; the commit counts do not independently establish how many fixes originated with AI. (HN 467 points · 295 comments · maintainer’s account)
Safer agent workflows
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A recovery study tests what to do when a tool times out paper notes → — A timed-out action may still have happened, so checking its effects can prevent duplicate work.
- An agent is a model running a multi-step task with tools. The paper considers checking remote state, waiting, retrying with a valid deduplication key, compensating a change or handing work to a person.
- In 37 modeled assignments, planning and three simpler active policies each certified 28 safe completions. The authors’ planner saved four synthetic fee units while using more computation.
- In a separate test of two local model bundles, planning advice produced 30 certified completions versus nine with evidence prompting across 58 paired cases. Both conditions used the same action-safety check.
- Caveat: The planner receives a supplied finite model of possible provider behavior; the results do not guarantee exactly-once execution against arbitrary services. (arXiv 2610.41453 · full paper)
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Search tools can find changes that assistants never think to check paper notes → — Ask an assistant to verify time-sensitive assumptions, even when its answer includes search results.
- Researchers tested eight models with direct questions about changes and indirect requests that required noticing the same changes. A benchmark is a fixed set of tasks for comparing models.
- For deaths of public figures, indirect accuracy fell by a median 27.5 percentage points at high reasoning effort in the models’ own search setups. Direct questions reached at least 96.5% accuracy in nearly all configurations.
- The released code and dataset support the test. The study also examines changes in public officials’ tenures.
- Caveat: The measured dataset covers deaths and ended tenures; the paper’s museum-closure example illustrates the idea but is not a measured category. (arXiv 2610.41435 · full paper)
Testing models
- SemiAnalysis launches a broad test of models doing specialist work — The results are a useful reminder to inspect task design and tool setup before treating a model ranking as portable.
- GDPx lists 206 tasks across eleven domains, including software engineering, chip design and security, supplied by fourteen specialist partners.
- The authors report a top overall score of 12.0 for Claude Opus 5.5. Domains receive equal weight, with three attempts per task used for the headline score.
- Most models used their own tool-running software when available; others used OpenCode. The default task time limit was eight hours, with shorter limits for some tasks.
- Caveat: The ranking compares complete model-and-tool setups on the authors’ chosen tasks, and the partners include companies selling evaluation environments. (Techmeme · GDPx results and methods)
Deepfake abuse
- Researchers find abusive deepfake tools hidden behind ordinary-looking apps — The investigation shows how app-review checks can miss harmful features delivered after approval.
- WIRED’s investigation traces more than 400 connected domains and apps, some presenting as pet-portrait or other ordinary services.
- Researchers found the apps could load an explicit interface under certain conditions, including apparently when installed after an associated advertisement. Users could upload photos to generate abusive images.
- WIRED reports that Apple removed 19 apps after being contacted. Google had removed most of the identified apps before the inquiry; the researchers reported over 350,000 collective downloads for 27 apps live on Google Play in September.
- Caveat: These are researchers’ and WIRED’s findings about one linked network, not a count of all abusive apps across both stores. (Techmeme · AI Forensics investigation)
5 gathered items not included
- The AI cost of JavaScript frameworks — Already covered yesterday morning; more discussion does not change the measurements.
- DeepSeek’s team coding prototype — Already covered yesterday morning.
- Minecraft and Mindustry agent experiments — October 30 Morning covered the same experiments and code.
- Mathematics has changed — The source blocked extraction; its author and argument could not be checked from the page.
- When agents should ask people for clarification — Relevant, but the selected studies have more immediate operational lessons.