Nick McGreivy
@NMcGreivy
on a gap year | previously: physics & ml phd @Princeton '24, fusion energy @PPPLab, @Penn '17
Our new paper in @NatMachIntell tells a story about how, and why, ML methods for solving PDEs do not work as well as advertised. We find that two reproducibility issues are widespread. As a result, we conclude that ML-for-PDE solving has reached overly optimistic conclusions.
Bram van Leer should win a Nobel Prize. His 5-part series of papers in the 70s laid the foundation for modern CFD.
When will there be a Nobel Prize for the Finite Element Method (FEM)? Practically everything around us is designed using FEM. Shaping cities, with their buildings and modern structures, is underpinned by FEM. Planes, cars, chairs—everything. It has a long-lasting impact.
If this is correct, the Illusion of Thinking paper will really drop in my esteem.
A few more observations after replicating the Tower of Hanoi game with their exact prompts: - You need AT LEAST 2^N - 1 moves and the output format requires 10 tokens per move + some constant stuff. - Furthermore the output limit for Sonnet 3.7 is 128k, DeepSeek R1 64K, and…
We just published a post-mortem on a now-retracted viral AI‐materials paper from MIT. Graduate student Aidan Toner-Rodgers made big claims on the impact of AI on materials science research productivity and was endorsed by Nobel laureate Daron Acemoglu in the WSJ. 1/6
American funding for hard sciences has fallen 2/3 this year. In physics, they are receiving 15% of what they did last year. What the fuck are we doing?
AI for science appears hard. Here is my stance on AI in science: AI is a great side-kick. I am unconvinced it is time to make it a hero. But maybe @FutureHouseSF will change that and then they could be a truly important company. This exchange is interesting and I think folks…
(Just linking here for the record that these Elicit findings appear to have been hallucinated. But if anyone has found papers that do appear to show this, please let us know. x.com/SGRodriques/st…)
What are good examples of long term trends that abruptly stopped?
What are good examples of long term trends that abruptly stopped?
I'm looking forward to speaking at the AI summit in Tokyo in 2 weeks. 2週間後に東京で開催されるAIサミットで講演できることを楽しみにしています。
🌸 Spring in Tokyo Just Got Smarter! 🌸 📅 April 9-11, 2025 📍 National Museum of Emerging Science and Innovation, Tokyo #人工知能 #AI研究 #東京テック #未来の技術 #TokyoAI #AIFuture #TechSummit
I miss the Grand Old Party (GOP) and long for the day when we can return to healthy and principled partisan debates. (We idealistic hippies sometimes need to be reined in by practical conservatism.) But this election is different… and much deeper than D versus R and left versus…
I addressed the topic in my keynote at PASC more than a year ago, but of course Nick's paper now gives us solid evidence supporting our concerns in the computational science community over the hype and unscientific optimism of #SciML x.com/PASC_Conferenc…
#PASC23 Learn more about the Keynote Presention "Anti Patterns of Scientific Machine Learning to Fool the Masses: A Call for Open Science" from Lorena A. Barba here: 👉 pasc23.pasc-conference.org/program/plenar… #pasc_conference #Davos #ComingSoon
A nice summary of why I moved on from ML for PDEs. The literature on weather & climate modeling isn't perfect, but the baselines are certainly much more compelling and easier to find.
Our new paper in @NatMachIntell tells a story about how, and why, ML methods for solving PDEs do not work as well as advertised. We find that two reproducibility issues are widespread. As a result, we conclude that ML-for-PDE solving has reached overly optimistic conclusions.