Behnam Neyshabur
Behnam Neyshabur is the co-founder and CEO of Mirendil, an AI startup focused on accelerating scientific research. He previously served as a Principal Research Scientist at Anthropic, where he co-led the Discovery team building AI systems for scientific and engineering reasoning, and before that was a Senior Staff Research Scientist at Google DeepMind, where he co-led the Blueshift team responsible for reasoning capabilities in Gemini and Minerva. He earned his PhD in Computer Science from TTI-Chicago under Nathan Srebro and completed postdoctoral research at NYU and the Institute for Advanced Study in Princeton.
“Benham — I've known him for a long time. He used to do theory, always working on model analysis and understanding, with many good papers. He often collaborated with Princeton's Sanjeev Arora.”
Source→“Benham — I've known him for a long time. He used to do theory, always working on model analysis and understanding, with many good papers. He often collaborated with Princeton's Sanjeev Arora.”
Source→“"It's very hard to separate incentives from reasons. And it's just get melted. It's just hard to separate it because you're also deeply incentivized to keep your distance with others."”
Source→“"Our version of self-accelerating AI is can these systems do the work of an AI researcher or an AI engineer? Like everything from the low-level kernels to works to conducting research itself in a very high throughput way."”
Source→“"A lot of reasons behind building the company comes back from when scaling law was happening at OpenAI. Back then, I was at Blue Shift Team, and that was a moment when I realized we are on the verge of a revolution."”
Source→“"I was co-leading the science team in Anthropic... We first built the math specialized models at Gemini and then worked on the reasoning models. And then some of the primitives kind of like started to come together when we joined Anthropic."”
Source→“"If the business model of the company is I train a big model and charge people for using it, how is this company incentivized to share this technology with everyone else? Because that's directly letting everyone else train a model which reduces their dependency to the company."”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.