Behnam Neyshabur

“"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."”

“"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."”

“"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."”

“"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."”

“"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."”