Commenters debated a study claiming GitHub Copilot didn’t increase engineering throughput despite some perceived benefits. sublimefire quoted the paper’s timeline and findings - baseline April-June 2024, post-Copilot Sept-Nov 2024, reported reductions in time spent and higher motivation but no statistical improvements in pull requests or lines of code through May 2025 - and argued the work is out of date. aurareturn and njaa pointed out specific timeline/model concerns (suggesting older Sonnet releases were in use) and criticized the authors’ choice of title given when the data were collected. VCFundedGenYer dismissed Copilot’s quality outright as a “sloppy” Microsoft effort, while pu_pe warned that AI evolves too fast for traditional academic timelines.
Opinion split over whether the negative throughput result reflects Copilot’s limits or study design. thevinter and others contended GitHub Copilot is only a limited harness compared with newer tools (thevinter also praised Claude Cowork), and blamed unspecified model versions and lack of retrieval-augmented workflows for poor results. erikgahner questioned sample size and generalizability, and jbjbjbjb reminded readers that coding metrics capture only part of engineers’ work. Overall, some commenters treated the findings as outdated or narrowly scoped, while others accepted the measured gap but urged deeper investigation of modern integrations and broader productivity measures.
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Jev is an AI model designed for fast, structured decision-making, offering speed and cost advantages over traditional LLMs. It provides three primitives - Choice, Score, and Noul - for applications like customer support. (twitter.com)
Pope emphasizes that artificial intelligence should serve humanity rather than become a tool for domination or injustice. He warns against AI's potential to worsen societal inequalities if misused. (euronews.com)
Ollaya allows users to run open-source decision models locally on their hardware with response times around 10 milliseconds. It is compatible with TypeSafe's API, ensuring privacy and fast decision-making for tasks like customer inquiries. (ollaya.dev)
Meta's Muse appears to use an OpenAI model labeled azure/muse-special, which shows signs of being an OpenAI GPT model accessed via Azure. This suggests Muse may be integrating OpenAI's responses API behind the scenes to power some of its agents. (mouse.dev)
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