Image created with Gemini. Image prompt: A horizontal 1920s Dada Merz collage on aged board, layered with torn cursive practice sheets, a fragment of green chalkboard with faded arithmetic, a stained report card, gold-star stickers, ruled notebook paper, and a bus-pass ticket stub, the word EDUCATION spelled in large mismatched cut-out letterpress letters glued at slight angles across the top, flat even lighting, visible paper fiber edges, glue buckling, coffee stains and foxing, muted palette of cream newsprint, kraft brown, faded vermilion, ink black and slate blue.
The interaction between AI & past scholarly work is going to get weird. Here I gave GPT-5.5 Pro a copy of my first published paper from grad school & asked it to find errors and update it. It found new data, analyzed it, created reproducible files, extended the key argument…”
https://x.com/emollick/status/2068507998343885284
Since I joined @cognition I’ve been obsessed with learning how our eng team uses Devin themselves If we are building the best coding agent + we have the most cracked engineers + we’ve been fully AI-pilled from day one… it stands to reason that there is a lot to learn by just”
https://x.com/imjaredz/status/2068001458205720751
What if your agent got smarter every single time it ran? Not fine-tuning. Not longer prompts. Just memory. For AI Agents in production, no memory means no learning – just the same intermediate problems solved over and over, wasting time and tokens every single run. And before”
https://x.com/victorialslocum/status/2069722431460168171
We taught a brand-new mini-series this year at @SCSatCMU on Modern GPU Programming for ML Systems, as part of the ML Systems course, touching on fun questions like what data layout swizzling is, how to use 3D TMA, and state-of-the-art Blackwell programming. We released a curated”
https://x.com/tqchenml/status/2069382647302734099
Cornell’s Robot Learning Course. Every slide. Every assignment. Free. 📌 CS 4756 covers the full modern stack: → Imitation learning → Reinforcement learning → Model predictive control → 3D perception → Sim-to-real transfer → LLMs for robot control Every lecture slide is”
https://x.com/IlirAliu_/status/2068035229424423366
Tomorrow @sh_reya and I kick off this free AI product engineering mini-course. Topics covered over 12 talks: 1. Design/UX & Evals 2. Retrieval 3. When & how to use open models effectively With these legends: @TheZachMueller @bclavie @xeophon @GoAbiAryan @barrowjoseph @willccbb”
https://x.com/HamelHusain/status/2069465758472814602
we started a company!! so, we’re tackling continual learning: what’s the learning algorithm to take arbitrary data — documents, conversations, the models’ own experience — and make better models? how do we scale compute in the same way we’ve already seen with pre-training and”
https://x.com/realJessyLin/status/2069466294718759161
Banning open-source AI in any form would be a mistake. A general audience PSA with @kevinsxu on why open source upholds American values. Managing frontier risks is hard, but reducing transparency, innovation, and education from kneecapping the open frontier would be worse.”
https://x.com/natolambert/status/2067974681135862167
A professor in Rome put two complete robotics courses on YouTube. 📌 For free. Nobody talks about him. Alessandro De Luca at Sapienza Università di Roma quietly uploaded his entire Robotics 1 and Robotics 2 curriculum to YouTube. Robotics 1 covers the foundations: kinematics,”
https://x.com/IlirAliu_/status/2069481367910351198
More evidence, from a large-scale study in China, that using AI hurts learning if it undermines mental effort. When homework time drops due to AI use, so do test scores. Across studies, a theme: AI tutoring in support of classes is good, using AI to “help” with homework is bad.”
https://x.com/emollick/status/2067988324984217626
A full university-level course + textbook on robot mechanics, planning, and control. 📌 If you’re building robot arms, manipulators, or mobile robots, this one deserves a permanent bookmark. Kevin Lynch & Frank Park’s ‘Modern Robotics’ (Northwestern) covers the math and”
https://x.com/IlirAliu_/status/2067655871899803972
📌 Learning Whole-Body Humanoid Locomotion via Motion Generation and Motion Tracking. Humanoid robots face a major challenge in real-world environments: They must go beyond simple walking and handle complex interactions such as climbing obstacles, vaulting, stair traversal,”
https://x.com/IlirAliu_/status/2068243203157803015
[2606.25076] Machine learning is revolutionizing weather forecasting — the next step is a change in how we work
https://arxiv.org/abs/2606.25076
First paper since joining @GoogleDeepmind! We present 🌍ATLAS (Active Theory Learning for Automated Science), a pipeline that generates interpretable mechanistic models from data and optimizes experiments to test them. Thread below”
https://x.com/EltetoNoemi/status/2067920123122336138
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