#GitHub

🦞 @openclaw 2.0 has arrived! But what did it take to get here? 👀 Find out how creator @steipete and its maintainers built, scaled, and secured the fastest-growing open source project in GitHub history. 🚀 https://youtu.be/5VSwaUXtPIE?si=vdegRI2eH4wXo2lG

We've been testing GPT-5.6-Sol for over 2 months now. It’s incredibly good in my day-to-day working on Next.js. It understands architecture tradeoffs. It can investigate complicated Next.js issue reports. It considers other areas of the codebase when fixing bugs. Needs very little guidance. Short prompts are enough. There’s some big refactors of the Next.js server that it implemented end-to-end with me pointing at high level possible improvements (we have skills for how to grab our failing test suites on PRs, deployment tests, etc.) Those PRs are ready to merge after Next.js 16.3 has been released.

FT publisehd a piece. AI is raising software supply faster than demand. AI is producing far more work inside companies, but the new evidence says much of that extra motion is getting lost before it becomes shipped product or customer demand. Last week's MIT study tracked software teams across the full production funnel, from files edited to reviewed work to software releases, rather than treating code volume as value. AI helped developers create or edit nearly 300% more files, but the gain fell to 150% at review and only about 30% at release. The gap means AI is strongest at speeding local tasks, while human review, coordination, product judgment, testing, and launch processes still decide how much value survives. --- ft .com/content/8e9ae7a4-7209-4e2c-aa36-f3af77d6ce1f?syn-25a6b1a6=1

Codex 在我什么都没做的情况下帮我赚到了钱.. 今天对我来说是个巨大的转折点，我让 Codex 去帮我赚 5 美元。它出去找了一条小型开源安全/审计赏金路径，提交了一个合法的 PR，跟进维护者，保护了我的付款信息隐私——（在我没要求的情况下），处理了 GitHub 证明/验证循环，并让工作被合并了。 它花了大约 22 小时进行多项安全审计。 今天我收到了那个实验的第一笔付款：16.88 美元。 如果每天重复，那就是每月 506.40 美元的运行率。 这还不是能改变生活的钱，但能亲身体验 Sam Altman 对 AI 的愿景——它会自己出去为你赚钱——这让人非常兴奋。开始看到这一点的开端真是太棒了。