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It's probably because they hit a dead end with their approach in terms of improvements. You can only get so far with trying to model a physical system with an i
by geremiiah 2mo ago
It's probably because they hit a dead end with their approach in terms of improvements. You can only get so far with trying to model a physical system with an insane number of degrees of freedom from simulation (and augmented) data.
- Legend2440 2mo agoMore likely because the entire Google organization is refocusing on LLMs. Also they already got their nobel prize, so the marketing benefit is already maxed out.
- tim333 2mo agoThey are cracking on with related biology related simulation. Some of it is now proprietary though in Isomorphic Labs.