We’ve open sourced an agent plugin that helps secure systems against recent cybersecurity threats. You can install them with any agent or use them in Devin today: devin.ai/blog/vulnerability-…

People who cured / are curing their own cancer on X: 1/ @sytses - bone cancer, billionaire founder of Gitlab, developed 10+ personalized therapies for himself. 2/ @paul_conyngham - shrank his dog Rosie's mast cell cancer tumors after chemo and surgery weren't enough. Now backed by YC and Founders Fund 3/ @miriamgonp - stage 4 breast cancer, tumor sequenced, searching for vaccine manufacturer now 4/ @kevinace - stage 4 lung cancer, angel investor in 300+ companies, first drug stopped working after 18 months. Vaccine designed, now paying $300k out of pocket for the vaccine 5/ @masonbgrant: going founder mode on his his 32-year-old wife's rare liver cancer, sequencing her tumor with AI agents 6/ @ArunRLverma: former product leader at Atoms and Shopify, brain tumor, built a vaccine from his tumor. Now building an AI health agent startup based on what he went through We're going to make it

Devin Fusion has claimed a top score of 68 on the @ArtificialAnlys Coding Agent Index with an Opus 5.5 lead and GPT-6 Luna sidekick. Devin Fusion outperforms Claude Code with Opus 5.5 on both performance and price – earning a score of 68 at a 31% lower cost per task.

okay one thing I can say with confidence is truly nobody thought the guy who owned the 140 character company would also be the guy that built the flying cars

Nobody at Rox writes evals anymore. Devin now QAs our agent every week, on real traffic. It reads real conversations with our agent, rebuilds each failure in a full copy of Rox, and turns it into an eval. We just review the PR. The eval suite already covers 72% of real usage happening in the product, vs. 43–57% for the evals we used to write by hand. And it’s growing week over week with Devin. Built with @cognition and @braintrust:

My hot take from chatting to @poteto is that we should use MORE abstractions in the AI age You can use them (combined with harsh lint rules) to reduce the design space available to the agent and constrain them only to good decisions. Combined with the fact that high-leverage abstractions let you do more with less code - so, more token efficient. Plus, unwinding the damage from a bad abstraction is much cheaper with agents. This runs counter to a lot of folks thinking that agents just want to read the raw code. They can, but they're not maximally efficient that way. Be braver! Design abstractions.

Today, Carnegie Mellon University and Ken Griffin, founder and CEO of Citadel and founder of Griffin Catalyst, announced a historic $3 billion gift to elevate Carnegie Mellon in Pittsburgh and launch Carnegie Mellon University Miami. #CMUMiami Learn more: cmu.edu/news/stories/archive…

It pains me to say this, but if we actually “get AGI,” the resulting boom in industrial capacity from robotics and massive society-wide wealth creation will look like a total vindication of neoliberalism. The discourse about financialization and offshoring being a generational mistake may be replaced by a very different historical interpretation: that the late 20th and early 21st centuries were an enormous capital-accumulation phase, freeing up civilization-scale pools of liquid capital that could ultimately be deployed to accelerate and bring about the most consequential technological phase-change in human history. In that telling, what looked like deindustrialization and betrayal from inside the period (I grew up in the Rust Belt, I know) becomes the prelude to reindustrialization on an almost unimaginable scale. None of this is inevitable. The needle has certainly not been threaded. China and x-risk remain enormous contingencies. But if it is, I suspect the future will look back on the last 50 years very differently than we do today.

Commandos 2: Men Of Courage (2001) Developed by Pyro Studios.

Good morning members of technical staff. Don’t forget, today is the day you’re going to start open sourcing your AI alignment, control, monitoring, and interpretability research and best practices. The commons thanks you in advance. Looking forward to the blog posts and repos!