Marco Pesani

the new development timeline

astonishing blogpost from Shengyu Liu (刘胜与, also known as interestingLSY/intlsy), kernel engineer at DeepSeek. The first part is his personal struggle with the fact that his work is about to render his beloved craft obsolete. The second is… well. let's just say we agree.

We built vgpu.sh to ship shaders on vercel.com. Now it's open source. ▪︎ Minimal agent-first WebGPU library ▪︎ Run in the browser or headless Node.js ▪︎ Render in CPU sandboxes and CI tests ▪︎ Create reusable .wgsl modules

DIV-1 Flash shows incredible scaling by allowing test-time Googling, making a leap from 52.8 to 81.7 on CSS-bench Verified this is one of the strongest result reported by any open weight div alignment model under 60 params

gained a ton of new insights working in bitcoin red team 🟥 that i wish i could share without vague posting. but this is what i got anon. - we’re experiencing a massive collision between decades of human open source slop against 2 weeks of kimi k3 (not good) - everything is broken, bitcoin is burning - bitcoin is becoming stronger through this - bitcoin is the obvious first target but the rest of the world will follow shortly - sometimes old things need to burn so new things can grow on healthy soil - humans should never code in c (just stop) - lightning is complicated and is more broken than the average (sorry) - verification is free. we used to complain about slop PRs. then about slop security audits. if you can’t handle the information overload, stop complaining and use AI to sort through it. - those projects that started AI audits months ago are in a completely different position than those who didn’t - projects need their own AI audit pipeline going into the future - the burden for a developer to keep software safe and secure is pretty stressful and not for everyone. it has become a lot more stressful now. - unmaintained projects are most probably broken, don’t rely on them. i’d rather one-shot it myself with a modern AI - multiple concurrent, diverse human approaches have proven to be the best vulnerability search method - external red teaming will probably have to continue forever - we’ve basically completed a basic scan of virtually the entirety of bitcoin open source. the low hanging fruit is done. - we’ve reported a ton of real critical and high vulnerabilities. project maintainers across the board have validated our findings. - response speed is very different across projects and shows how healthy each project is. i recommend acting fast these days. - red team etiquette matters. if you don’t disclose responsibly, boast on twitter about your findings on a particular project, or make indications about the nature of particular findings, you’ve disqualified yourself as a serious security researcher. trust is the most important factor in this game. if you lose it, it’s very hard to win it back. - did i mention that humans should not code in c? love you all.

should be obvious by now, but OpenAI and Anthropic are just gonna keep cannibalizing all their biggest customers. it’s simply too profitable for them to resist. and it’s already happening: 1. Figma partnered with Anthropic on AI design tools. then Anthropic’s product chief quit Figma’s board, and 3 days later Anthropic launched Claude Design to compete with Figma. CEO Dylan Field said Anthropic was “not consistently candid.” 2. Novo Nordisk uses Claude to help develop drugs. now Anthropic is developing drugs of its own. 3. Microsoft poured billions into OpenAI. now OpenAI is building a Jobs Platform to compete with LinkedIn, and reportedly a code repository to compete with GitHub. Microsoft owns both. 4. Harvey uses Claude to sell AI contract analysis, due diligence, and litigation tools. now Anthropic sells those same workflows through Claude for Legal. 5. Intercom used OpenAI’s Realtime API to build Fin Voice. now OpenAI sells its own voice-and-chat support agent through Presence. 6. Abridge and Ambience build clinical documentation products on OpenAI. now OpenAI sells ChatGPT for Healthcare directly to hospitals with clinical documentation built in. 7. Benchling uses Claude to power its biotech R&D platform. now Anthropic sells its own scientific workbench through Claude Science. the frontier lab playbook is simple: 1. sell their models to the world’s most valuable businesses 2. help wire them into those companies’ most valuable and sensitive work 3. map the business from the inside and find where AI can take over 4. turn those capabilities into their own products and become the customer’s competitor

안녕들 하십니까.. 저는 회사를 그만두고 쉬다가 집에서 이런거 만들고 있습니다. github.com/Julian-adv/OpenMM… 브라우저에서 돌아가는 오픈소스 일인 개발(+AI) mmo입니다.