In a rare four-hour talk, the reclusive founder reveals an almost Daoist philosophy of AI—AGI as a tide no company can own, he argues China's only real gap with America is compute.
This. The frontier race is about building the smartest generalist, but most companies don’t need that. They need a specialist tuned to their workflows. Narrower scope means smaller models, lower costs, faster inference and often better results. General models become the foundation, not the finished product. It’s still all to play for! 💪😎✌️
Agreed, However I also wonder how or if LLMs could help with what we don’t know we need.
With the processing pace of LLMs and the massive context the can processes at once. It seems like it could make the broader connections that are usually the harder to find more accessible.
I think that’s probably the most underrated use case. We keep treating LLMs like faster search engines, but their real value may be surfacing relationships humans never think to test.
This. The frontier race is about building the smartest generalist, but most companies don’t need that. They need a specialist tuned to their workflows. Narrower scope means smaller models, lower costs, faster inference and often better results. General models become the foundation, not the finished product. It’s still all to play for! 💪😎✌️
Agreed, However I also wonder how or if LLMs could help with what we don’t know we need. With the processing pace of LLMs and the massive context the can processes at once. It seems like it could make the broader connections that are usually the harder to find more accessible.
I think that’s probably the most underrated use case. We keep treating LLMs like faster search engines, but their real value may be surfacing relationships humans never think to test.