Markus J. Buehler

@ProfBuehlerMIT

McAfee Professor of Engineering @MIT; Co-Founder & CTO at Unreasonable Labs; AI-Driven Scientific Discovery

Cambridge, MA

meche.mit.edu/people/faculty…

Joined December 2014

2,364 Following

28.1K Followers

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Markus J. Buehler
@ProfBuehlerMIT
Oct 13
In 2022 we argued that AI could become a new language of science. Four years later AI empowers us to pursue ambitious goals, tackle problems of unprecedented complexity, and extend the boundaries of human creativity, understanding and discovery.
Article
Three weeks before ChatGPT
In 2022 we argued that AI could become a new language of science. Four years later we have the first superintelligence systems that prove theorems, build instruments and organize societies of agents
6
Markus J. Buehler
@ProfBuehlerMIT
Oct 19
The language of physics has evolved from early numerals to mathematical equations, computational models, and now the AI era, where representations are learned, integrated, and shared. Each transition has expanded what we can describe, calculate, predict, and discover. Now
GIF
Markus J. Buehler
@ProfBuehlerMIT
Oct 13
In 2022 we argued that AI could become a new language of science. Four years later AI empowers us to pursue ambitious goals, tackle problems of unprecedented complexity, and extend the boundaries of human creativity, understanding and discovery.
Article
Three weeks before ChatGPT
In 2022 we argued that AI could become a new language of science. Four years later we have the first superintelligence systems that prove theorems, build instruments and organize societies of agents
4
Markus J. Buehler
@ProfBuehlerMIT
Oct 17
Scientific discovery is shifting from human-orchestrated tools and centrally planned AI workflows toward next-generation decentralized systems that coordinate autonomously through a shared, living scientific record. Here, the scientific record itself becomes the self-generated
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Markus J. Buehler
@ProfBuehlerMIT
Oct 15
As we look to the future, every scientist gets a superintelligent partner, instruments are built on demand, papers become executable, agent ecologies invent and coordinate across labs and institutions. I shared these and other ideas in a recent blog post.
GIF
Markus J. Buehler
@ProfBuehlerMIT
Oct 13
In 2022 we argued that AI could become a new language of science. Four years later AI empowers us to pursue ambitious goals, tackle problems of unprecedented complexity, and extend the boundaries of human creativity, understanding and discovery.
Article
Three weeks before ChatGPT
In 2022 we argued that AI could become a new language of science. Four years later we have the first superintelligence systems that prove theorems, build instruments and organize societies of agents
1
Markus J. Buehler
@ProfBuehlerMIT
Oct 12
Amazing to see @AIatMeta @alexandr_wang reaching the frontier with Muse Wonder & significant advances across benchmarks including in the Artificial Analysis Intelligence Index...particularly exciting as these models move onto devices and existing tools that billions of people
Alexandr Wang
@alexandr_wang
Oct 12
🍉 MUSE WONDER 🍉 our research process starts with evals. we developed the Personal Superintelligence Index (PSI) internally to help us measure the important dimensions of what actually makes a model useful for personal agents, vs just focusing on external benchmarks. the end
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