MIT CSAIL

MIT PhD student Alex Zhang (@a1zhang) explains how AI models are "mismanaged geniuses" that could take on a much wider range of tasks. Full video: tinyurl.com/bddd5vdx

"Any sufficiently advanced technology is indistinguishable from magic." — Arthur C. Clarke

The Wright Brothers' patent for a "Flying Machine," AKA the world's first airplane. It was filed in 1903. Images v/Library of Congress

A free guide to prompt engineering from Google: shorturl.at/BaGVe

MIT PhD student Alex Zhang (@a1zhang) explains how AI models are "mismanaged geniuses" that could take on a much wider range of tasks. Full video: tinyurl.com/bddd5vdx

Eka means unity -- “one,” in Sanskrit and “first” in Finnish. We’re building intelligence for the physical world in its native language: forces. Until now, robotics faced a tradeoff — generality or speed. The real world requires both. Robotics also faced a data problem. Our Vision–Force–Action (VFA) model — the first of its kind — breaks the generality-speed tradeoff and the data barrier. It's a new foundation uniting performance, generality, and safety for putting capable robots in everyone's hands. Today, I am excited to share our journey of pushing robots beyond human limits. Today, dexterity becomes scalable. Today, I welcome you to the Era of Eka. Co-founded with @haarnoja, and so thrilled and grateful to be working with a dream team at @EkaRobotics. Learn more: ekarobotics.com

Highest paid workers are more likely to use AI for work, according to Financial Times breakdown: shorturl.at/uSC71

61 years ago this month, the Fast Fourier Transform was created, a powerful tool for image compression & data analysis. Watch a classic MIT breakdown of FFT, perhaps the most-taught algorithm at the Institute: bit.ly/4cNMbPm v/@MITOCW

Happy bday to the late Larry Tesler, inventor of "copy-paste." Happy bday to the late Larry Tesler, inventor of "copy-paste." Happy bday to the late Larry Tesler, inventor of "copy-paste." cnet.co/4b5ZGrq (Pic v/Reddit)

How do top reasoning models become overconfident? MIT found that RL rewards correct answers w/o considering how sure the model is. By training them to estimate their confidence about each answer, the team boosted uncertainty estimates w/o hurting accuracy: bit.ly/48l1WfE

Ask us your questions about Recursive Language Models (RLMs) & where LMs are underutilized or inefficient. We’ll pick some to feature in an upcoming explainer w/MIT PhD student Alex Zhang (@a1zhang), who recently developed RLMs. For more on his work: bit.ly/4vGyLxo

This sampling of MIT CSAIL papers at ICLR shows a common need for efficient models that can reason about complex, real-world problems. More compute helps, but the ways these machines "think" also need refinement. You can find more info about these projects on our website: bit.ly/4dQ6uOA

“MathNet” 📊 MIT, KAUST & HUMAIN have built the world's largest collection of Olympiad-level math problems. The dataset can help students prepare for competitions & revealed how AI models can improve at math problems, esp. ones w/visual reasoning: bit.ly/4vBr2kl

This week, MIT CSAIL will join other top ML researchers at ICLR to tackle a shift in focus from more powerful AI to more reliable systems 🧵 Our papers at the conference show how to potentially make AI models stronger critical thinkers, more honest, & better at math ⬇️

Today, MIT & the IMO released MathNet, the world’s largest dataset of International Math Olympiad problems & solutions 🌍 MathNet is 5x larger than previous datasets & is sourced from over 40 countries across 4 decades: bit.ly/4u1bhBC

100 tips to get the most out of Claude, v/@BoucherNicolas.

Things we didn't have 25 years ago: iPhone Facebook YouTube Twitter/X Instagram Android Bitcoin Tesla Gmail WhatsApp Snapchat Zoom Amazon Prime Airbnb Uber Dropbox LinkedIn Reddit ChatGPT v/@stats_feed