
thomas scaria
3.3K posts



There are two ways to build AI for mathematics. One is to work in private and surface results after the fact. The other is to put real tools in the hands of mathematicians, learn from real use, engage in public, credit the community you build on, and support the ecosystem itself. We believe in the second model. Mathematics is a profoundly human endeavor. AI should strengthen mathematicians, not route around them. Build with mathematicians, not around them.

Paradigm co-founder @matthuang says allocating capital to Bitcoin and Ethereum in 2018 is a lot like investing in the AI sector today: "When we launched Paradigm in 2018, a lot of our thesis was that we knew crypto would expand massively. And then there was this open question — should you invest in the core protocols like Bitcoin and Ethereum, or invest in startups?" "Obviously in hindsight, the answer was both." "I think it's a lot like the AI landscape now, with this question of — do you own the model companies, or do you own the application layer on top? In 2018, Bitcoin and Ethereum were like OpenAI and Anthropic, and those are the things to own."











Mantle State of Mind: Ep.06[Consensus HK] x.com/i/broadcasts/1…


[BREAKING] AI agents can now read the blockchain. For the next 72 hours, we’re opening public access so you can try it yourself. Agent-ready, real-time onchain data accross 150+ chains.






