I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.

allowing people to own their problems is a huge act of kindness. this does NOT mean you can’t help them, or be kind and patient. a lot of people conflate help with “stopping someone from feeling hard feelings” or “shielding them from the consequences of their own actions.” the latter is enabling, and it takes away someone’s opportunity to learn, and prevents them from fully living in reality

We formally announced Mirendil less than 4 months ago. Today, I'm excited to share an important milestone for: Pretraining at scale without a pretraining team. Mirendil's mission is to solve Recursive Self-Improvement (RSI) and use it to democratize frontier AI development, ultimately accelerating science and technology. At Mirendil, when we think about RSI, we think holistically about the company as an intelligent entity that self-improves toward its goal. From that perspective, the most powerful notion of acceleration is reducing the time and resources (number of human experts, compute, and other costs) needed to achieve ambitious goals. Given that pretraining is perhaps the most important yet most challenging part of frontier AI development, we decided to run an ambitious controlled experiment: Starting fully from scratch, can we significantly reduce the time, number of human experts, and compute resources needed to go all the way to successfully pretraining a strong coding model at scale? Mirendil-Base is the result of this experiment. Our first pretrained model was built by one researcher in 3.5 months, with less than $10M in compute. This includes all the research and small-scale experiments it took to get there, as well as the final training run. The recipe holds up as the models get bigger. For reference, Mirendil-Base is in the 100B-500B parameter range, Mirendil-Base-Large in the 500B-2T range, and Mirendil-Base-XL in the 2T-10T range. We're beginning to see a world where a single researcher, empowered by AI, can take on work that once required an entire research organization. As these systems improve, the bottleneck shifts from the size of a team to the ambition and judgment of the people directing them. This has profound implications for who gets to build AI and, ultimately, who gets to push the frontiers of science and technology forward. We’ll share independent evaluations, post-training benchmarks and API-access sooner than you think so stay tuned!

I think most people multi-tasking with agents could benefit from slowing down most of the stuff you're doing wont really matter- what's your P0? what would it look like if you gave it your full attention?

I love working on AI safety because I get to benefit the most important issue of our time, arguably. If I wasn't working on AI safety, I suspect I'd feel far more stressed and powerless about AI.

I once worked with an AI researcher who became more direct. He started sharing disagreements with colleagues, standing up for himself when someone took credit for his work, telling women he was attracted to them, and texting friends “I miss you.”

I am making the most expressive possible instrument for live performance. Calling it the Discordion. The buttons correspond to Roman numeral chords, thumb modifies the chord, and movement + orientation in 3d space transforms the sound. There will also be a right hand component