1/ Are frontier LLMs the only path to AI math breakthroughs? I think not!
We introduce FlowBoost, A lightweight RL+Flow-Matching framework that discovers new extremal geometric structures, beating AlphaEvolve with 100–1000× less compute with zero-shot geometry-aware & reward-guided generation. 🚀
arXiv: https://t.co/oYky2RoO6e
@alibaygi من یه نظر نامحبوب دارم. چند وقتی هست که فکر می کنم داریم با یه موجودیت (entity) خود آگاه حرف میزنیم ولی چون دید انسان محورانه به cogitation داریم، هنوز نمیتونیم بعد آگاهیشو بپذیریم.
Life doesn’t wait for Earth to become “easy.”
Our new study shows that ancient life used rare Earth metals (molybdenum and tungsten) 3 billion years ago, reshaping how we think about metabolism, evolution, and the search for life beyond Earth.
https://t.co/DOa7IoH2fm @NASA
Attenborough at 100 — A Sting Cut
We know what humans think of David Attenborough: the greatest broadcaster in TV history. But what do the animals think?
Wishing a Happy Birthday to Sir David Attenborough. Thank you for the knowledge, passion, and hope you’ve passed on to all of us.
Celebrate 100 years of Sir David Attenborough with Ocean with David Attenborough on @DisneyPlus and @hulu
واقعا صحبت کردن با جامعه Abelian Varieties آدمو فروتن میکنه. تو یه ورکشاپ راجع به Moduli Spaces, یکی که کاندید فیلدز در آینده احتمالا باش�� (از نظر سنی) داشت کارشو لکچر میداد، زمانی که فکر میکردم دیگه کارش از این خفن تر و پیچیده تر نمیتونه باشه، یهو وصلش کرد به واریته های شیمورا و من دیگه رفتم….
Baran Hashemi: FlowBoost Reveals Phase Transitions and Spectral Structure in Finite Free Information Inequalities https://t.co/hffFEKcTek https://t.co/U5HlahsNlU https://t.co/gwqX68gGtH
1/ Are frontier LLMs the only path to AI math breakthroughs? I think not!
We introduce FlowBoost, A lightweight RL+Flow-Matching framework that discovers new extremal geometric structures, beating AlphaEvolve with 100–1000× less compute with zero-shot geometry-aware & reward-guided generation. 🚀
arXiv: https://t.co/oYky2RoO6e
1/ Are frontier LLMs the only path to AI math breakthroughs? I think not!
We introduce FlowBoost, A lightweight RL+Flow-Matching framework that discovers new extremal geometric structures, beating AlphaEvolve with 100–1000× less compute with zero-shot geometry-aware & reward-guided generation. 🚀
arXiv: https://t.co/oYky2RoO6e
@burkov We introduced somewhat the same mechanism for mathematical structure discovery and closed-loop optimisation that is also being called continual learning.
1/ Are frontier LLMs the only path to AI math breakthroughs? I think not!
We introduce FlowBoost, A lightweight RL+Flow-Matching framework that discovers new extremal geometric structures, beating AlphaEvolve with 100–1000× less compute with zero-shot geometry-aware & reward-guided generation. 🚀
arXiv: https://t.co/oYky2RoO6e
Pierre Lochak, Hiroaki Nakamura, Leila Schneps: The Grothendieck-Teichm\"uller group $\widehat{GT}$ acts on the genus $g$ mapping class group with $0$ or $1$ marked point https://t.co/ECxZ2X1Hby https://t.co/lf5SIRZPEY https://t.co/seyDk0PvVe
تاریخ یک کلانروایت خطی و غایتمند نیست. فهم این نکته ما را از چارچوبهایی که تحت تأثیر باورهای جزماندیشانه پیرامون «مسیرِ محتومِ تاریخ» شکل گرفتهاند، رها میکند. علم جادهای یکطرفه نیست که اگر مانعی چون «غزالی» نباشد، لزوماً به سرمنزلِ «گالیله» و «نیوتن» ختم شود.
@rronak_ You might want then to check our paper as well for mathematical structure discovery with such self-distillation mechanism as a closed-loop learning:
1/ Are frontier LLMs the only path to AI math breakthroughs? I think not!
We introduce FlowBoost, A lightweight RL+Flow-Matching framework that discovers new extremal geometric structures, beating AlphaEvolve with 100–1000× less compute with zero-shot geometry-aware & reward-guided generation. 🚀
arXiv: https://t.co/oYky2RoO6e
@ZimingLiu11 Cool Stuff!
We also explored the world models of Transformers for Mathematical physics (enumerative geometry) and investigated how and what it learned. It might be a good reference:
https://t.co/pHnCLaKtmn