Eli

Openclaw is just the Autogpt of 2026, and three months from now just like autogpt no one will be talking about it

Today, we are announcing Proximal. Proximal is a research lab for data. Our core belief is that data which is complex enough to teach today’s frontier models is not bottlenecked by domain experts, but by great ideas and excellent software. We are excited about a world in which coding agents can autonomously run for multiple weeks, solve the hardest technical problems and discover novel ideas that advance progress in various domains of science and engineering. We believe that we are not far from this future, but that the biggest bottleneck preventing us from achieving it is training data. Many companies work on data, but most of them are approaching it the wrong way. Historical capability breakthroughs are the result of creative engineers discovering scalable data collection methods, not thousands of contractors manually writing task demonstrations. Inevitably, the potential impact of human data will become smaller and smaller as model capabilities increase: agents are already outperforming most humans in many domains - the number of experts that are capable of judging model outputs shrinks with every new model release. Proximal is a new data company. We are not a recruiting firm or a talent marketplace, but a research and engineering organization that treats data as a problem which deserves the same level of rigor as work on training algorithms and model architectures. We think that this is the most impactful work towards agents that can autonomously solve complex technical problems, and intend to share our research and progress in the open.

proud to share Extend's updated brand and website! we spent 100s of hours on it, and obsessed over every single detail multiple full redesigns thrown out, fonts swapped and swapped again, every animation tweaked until it felt right...we even locked ourselves in a room and white-boarded every single word on the page until it resonated why? prospects would see a demo and say something like "this is not what I expected based on your site", and they were 100% correct our product has changed so much in the past year, that we wouldn't even recognize the old version (new APIs, capabilities, entirely new categories of problems we now solve). Our old site didn't reflect any of that. we’re proud of how this turned out, and we hope it conveys the level of craft our team obsesses over in everything we ship check out the new site below and please share feedback!

The 5.3 lovefest is so nice to see. Don't think we've had so much excitement for a model since the original GPT-4.

In an effort to expand awareness of technology and business, we bought a Super Bowl ad. See you Sunday on NBC

Assign your Linear tasks to gpt4

Introducing Composer — the first AI Agent for document processing. Get to production-grade accuracy, autonomously in minutes. In our early beta, some teams hit 99% accuracy on complex document tasks in under 10 minutes. Composer is an agent built to optimize schemas the same way a human would (but way faster). Instead of tuning prompts by hand, you point Composer at your eval set inside Extend. Composer will: - analyze where your schema falls short - propose targeted improvements - run multiple experiments in parallel - surface diffs, accuracy gains, and traces behind each change With this launch, Extend is the only product on the market that helps you reach production-grade accuracy this fast. Composer is live for all Extend customers today! Try it out at the link in comments below.