We are incredibly excited to announce River AI. Our mission is to create personal AI that is owned and shaped by you. Today’s best AIs are controlled by a few large corporations. We are building the alternative: a new, personal stack for AI that works entirely for you, shares your values, and operates on your terms.

River AI is building personal AI owned & shaped by you. We are hiring exceptional talent across the stack: * Research * Software Engineering * Product Development * Data * Hardware, RTL Design Engineer * Hardware, Design Verification Engineer * Hardware, Physical Design Engineer * Hardware, Performance Engineer * Hardware, Compiler Engineer * Open Application, Exceptional Talent river.ai/careers We are a small, elite team of researchers, builders, and pioneers from the world's leading AI labs. If you want to do the most ambitious work of your career alongside, apply today!

Introducing River API. Fine-tune and RL train leading open-source models at scale, ranging from 35B to 1T params. We’ve been using it internally to power our research and we love it. Today, we are opening up our public waitlist. Own your intelligence!

Today, we are thrilled to officially launch RadixArk with $100M in Seed funding at a $400M valuation. The round was led by @Accel and co-led by @sparkcapital. RadixArk exists to make frontier AI infrastructure open and accessible to everyone. Today, the systems behind the most capable AI models are concentrated in a small number of companies. As a result, most AI teams are forced to rebuild training and inference stacks from scratch, duplicating the same infrastructure work instead of focusing on new models, products, and ideas. RadixArk was founded to change that. We are building an AI platform that makes it easier for teams to train and serve the best models at scale. RadixArk comes from the open-source community. We started with SGLang, where many of us are core developers and maintainers, and expanded our work to Miles for large-scale RL and post-training. We will continue contributing to both projects and working with the community to make them the strongest open-source infrastructure foundations for frontier AI. We would like to thank our long-term partners, contributors, and the broader SGLang community for believing in this mission. We're also grateful to @Accel and @sparkcapital, NVentures (Venture capital arm of @nvidia), Salience Capital, A&E Investment, @HOFCapital, @walden_catalyst, @AMD, LDVP, WTT Fubon Family, @MediaTek, Vocal Ventures, @Sky9Capital and our angel investors @ibab, @LipBuTan1, Hock Tan, @johnschulman2, @soumithchintala, @lilianweng, @oliveur, @Thom_Wolf, @LiamFedus, @robertnishihara, @ericzelikman, @OfficialLoganK, and @multiply_matrix among others. Thanks for the exclusive interview with @MeghanBobrowsky at @WSJ about our vision.

At 1:30 a.m. PT on November 3, 2023 Elon sent a message to the xAI group chat saying that we need to go “extremely hardcore” for the next 36 hours; Grok will be released publicly tomorrow. You didn’t have to be in the exclusive company chat to get the message; it was also posted publicly at the same time: x.com/i/status/1720372289378… What unfolded over the next day and a half was one of the best examples of engineering at pace that I’ve ever seen. All we had when we started was a somewhat fine-tuned base model and a half-baked UI. Our team of ten split up the tasks: curate data, improve the model, implement the raw prompting and RAG service, build the production infra. I took care of the latter. At 8:51 p.m. PT the next day, we announced Grok to the world with a long-form post on X (x.com/xai/status/17210273489…). Over the past 36 hours, we came up with Fun mode (including Grok’s sunglasses), finished the whole production system, and most importantly tuned the RAG system that gave it real-time knowledge of the world through the X platform (a first in the industry). A day and a half of straight coding and shipping; no drugs, not even caffeine, just pure adrenaline. Elon gave us a mission and we delivered. The launch went very well. We invited a couple hundred X creators and Grok’s ability to roast accounts went viral. It was the first time a publicly accessible AI was allowed to poke fun at people. This episode is a prime example of what you can achieve by going extremely hardcore: you move and deliver results faster than any outsider could have anticipated. Within 36 hours, we took the company from silence to relevance. It was well worth it. xAI’s hardcore culture is infamous on X. I love the tent meme that suggests we all sleep (well, slept in my case) in the office in tents. Our reputation precedes us and even new joiners hit the ground grinding hard. However, unless you understand the “why,” you are at risk of simply replicating the “how” without achieving the same results. You need to grind with purpose and the purpose is to move fast towards a known goal. When the goal and the means of reaching it are crystal clear, a small, skilled, and highly motivated team can outcompete companies old and new, big and small. Never grind to show off; never work late to be seen; never sacrifice without cause. There is no medal for the one who tried extremely hard but failed. There is only a medal for the winner. If all your efforts lead nowhere, you’re arguably not very productive. Always keep your eyes firmly on the goal, do everything to reach it as quickly as possible, and make sure you're on track to win. A hardcore engineering culture is one of the most effective ways of accelerating real progress. Watch out for performative sacrifice and don’t confuse pain with progress.

Anthropic has no strategy. Claude Code started as someone's side project, and so did Cowork and MCP.

Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings. OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.

We raised a $150M Series B at a $1.25B valuation to fundamentally change the field of AI. Scaling is powerful, but we can't intentionally design what we don't understand.