While programming w/LLMs seems promising, code can be messy, opaque, & hard to change safely. An MIT case study charts a more legible, modular path forward for software, bringing together features that'd otherwise be scattered across multiple services: https://t.co/SgEs1s5bgu

Happy birthday to MIT Prof. Barbara Liskov, Turing winner & programming pioneer. Watch her break down data abstraction & object-oriented programming: https://t.co/kO0Ogymk80

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Happy birthday to MIT Prof. Barbara Liskov, Turing winner & programming pioneer. Watch her break down data abstraction & object-oriented programming: https://t.co/kO0Ogymk80

Happy birthday to the late Michael Dertouzos, who directed MIT’s Laboratory for Computer Science for 25+ years. Watch him discuss the future of computers on NBC’s Today Show w/late MIT prof. Joseph Weizenbaum back in 1983.

Connectome suggests brain’s synaptic weights follow heavy-tailed distributions, yet most analyses of RNNs assume Gaussian connectivity.  🧵⬇️ Our @AllenInstitute #NeurIPS2025 paper shows heavy-tailed weights can strongly affect dynamics, trade off robustness + attractor

#otd in 1971 Bell Labs released the first Unix Programmer's Manual. Download the free PDF here (third edition): https://t.co/uKGp5kkhPC (v/@CoolSWEng)

What’s one thing you’d like AI to be able to do, but it can’t yet?

A genAI model developed at MIT designs proteins & peptides of any modality to bind to different biomolecular targets. The system, called "BoltzGen," unifies design & structure prediction. It's freely available for unrestricted academic & commercial use: https://t.co/ZonN7vHHW0

#otd in 1998 Yann LeCun submitted a paper on “gradient-based” deep learning for document recognition. It took more than a decade before the world finally warmed to neural networks: https://t.co/xbQfnCRq9p First image v/Erik Tanner & WIRED

Why can’t programmers tell the difference between Halloween & Christmas? Because oct 31 = dec 25.

How robots would celebrate Halloween at MIT's Stata Center, according to ChatGPT, Midjourney, & Gemini.

Happy birthday to Marcian “Ted” Hoff, Jr., an engineer who co-invented the microprocessor. How he did it: https://t.co/Wddm7W9AEp

Join us in-person at MIT on Oct. 30 @ 5pm to hear from @HannesStaerk on BoltzGen and the state of biomolecular design! 🗓️RSVP now: https://t.co/RtPuWLCDby

Excited to release BoltzGen which brings SOTA folding performance to binder design! The best part of this project has been collaborating with many leading biologists who tested BoltzGen at an unprecedented scale, showing success on many novel targets and pushing its limits! 🧵..

Do AI agents ask good questions? We built “Collaborative Battleship” to find out—and discovered that weaker LMs + Bayesian inference can beat GPT-5 at 1% of the cost. Paper, code & demos: https://t.co/lV76HRKR3d Here's what we learned about building rational information-seeking

14 sorting algorithms in just 60 seconds. v/@7etsuo

To give context on age, Grace Hopper began computing at 38, completed the first compiler at 46, helped shape COBOL at 53, kept developing COBOL for the Navy in her 70s, retired from the Navy at 80 & then became a consultant for the Digital Equipment Corporation. v/@cooperx86

Microsoft Word was released #otd in 1983. This is how it looked it back then. Image v/Aldo Computers

Ask us your questions about how AI & computer vision can help w/conservation efforts. We’re featuring a few in an upcoming explainer w/MIT PhD student Justin Kay. For more on his work: https://t.co/R0UGMBouDs

[1/7] Paired multimodal learning shows that training with text can help vision models learn better image representations. But can unpaired data do the same? Our new work shows that the answer is yes! w/ @shobsund @ChenyuW64562111, Stefanie Jegelka and @phillip_isola