The improvement and the recent pace of them is encouraging. However, LLMs will hit limits. We also need more work on other approaches to AI. I will be really excited when I see AI doing useful and groundbreaking biological research, especially figuring out how to prevent aging and all its concomitant diseases.
The question of limits (hitting a data wall?) vs opportunities for innovation (AI reasoning is another dimension of possible scaling / improvement) is interesting. I have some discussion on it in the follow-up articles in this series. I agree w you on biological research, that's one area where AI could really have positive impact and accelerate science, due to its complexity.
The improvement and the recent pace of them is encouraging. However, LLMs will hit limits. We also need more work on other approaches to AI. I will be really excited when I see AI doing useful and groundbreaking biological research, especially figuring out how to prevent aging and all its concomitant diseases.
The question of limits (hitting a data wall?) vs opportunities for innovation (AI reasoning is another dimension of possible scaling / improvement) is interesting. I have some discussion on it in the follow-up articles in this series. I agree w you on biological research, that's one area where AI could really have positive impact and accelerate science, due to its complexity.