senior engineers might already know this but for me who's pretty green that section on differentiating scientific risk and engineering risk and how different institutions are most appropriate to tackle them was some of the most illuminating stuff I've read
Agreed! I thought the same when reading that part.
Senior engineers know that engineering is what makes the difference. But founders of start-ups pushing the boundaries of cutting-edge technology are often scientists who typically underestimate the engineering challenges, then learn it the hard way once it's too late.
It's clear Yang Zhao doesn't fall into that trap. It would be interesting to know whether it comes from his strong focus on achieving the biggest impact on humanity’s future or the more pragmatic mindset of the Chinese people.
Another key learning for me is the use of AI for real-time control.
It's an excellent article, and one that will be in my bookmarks. Thank you, Caleb!
I really like the section on AI accelerating fusion research. It's a compelling example of AI creating value in exactly the kind of domain where it excels: physics with clear, consistent reward signals. I keep writing about how this is exactly the kind of domain where AI can realy excel. Energy use is one of my biggest concerns about AI's trajectory, so the prospect of AI helping to accelerate its own energy solution is the kind of feedback loop I want to see more of.
senior engineers might already know this but for me who's pretty green that section on differentiating scientific risk and engineering risk and how different institutions are most appropriate to tackle them was some of the most illuminating stuff I've read
Agreed! I thought the same when reading that part.
Senior engineers know that engineering is what makes the difference. But founders of start-ups pushing the boundaries of cutting-edge technology are often scientists who typically underestimate the engineering challenges, then learn it the hard way once it's too late.
It's clear Yang Zhao doesn't fall into that trap. It would be interesting to know whether it comes from his strong focus on achieving the biggest impact on humanity’s future or the more pragmatic mindset of the Chinese people.
Another key learning for me is the use of AI for real-time control.
It's an excellent article, and one that will be in my bookmarks. Thank you, Caleb!
I really like the section on AI accelerating fusion research. It's a compelling example of AI creating value in exactly the kind of domain where it excels: physics with clear, consistent reward signals. I keep writing about how this is exactly the kind of domain where AI can realy excel. Energy use is one of my biggest concerns about AI's trajectory, so the prospect of AI helping to accelerate its own energy solution is the kind of feedback loop I want to see more of.