We're thrilled to share that notifications for the EASE 2025 2025 AI Models / Data track are out! 🎉 24 papers accepted (incl. transfers from the main track). See you in Istanbul this June! Huge thanks to our PC for the great work. Rodrigo Spínola 🔗 conf.researchr.org/track/ease-202…

Big plans

Be like John. Have your priorities right.

This is the most accurate meme ive seen so far. What a strange time to be alive. h/t /u/Necessary-Drummer800 /r/singularity

Anthropic 𝗷𝘂𝘀𝘁 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝗱 𝗮 𝗕𝗶𝗯𝗹𝗲 𝗳𝗼𝗿 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝗜𝘁 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝘀 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗖𝗼𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 📌 𝗛𝗲𝗿𝗲'𝘀 𝗮 𝗾𝘂𝗶𝗰𝗸 𝘀𝘂𝗺𝗺𝗮𝗿𝘆 - 1. 𝗔𝗴𝗲𝗻𝘁

You know a field is moving too fast when several of your colleagues tell you about a paper *you must read* that has yet to appear on Google Scholar. Oi veh. கண்ட்ராவி.

Nice blog post. If you're applying to a CS PhD and considering academia after you graduate, you should read this, it's very real: jeffhuang.com/computer-scien…

Note to self :)

Sparse autoencoders (SAEs) can be used to elicit strong reasoning abilities with remarkable efficiency. Using only 1 hour of training at $2 cost without any reasoning traces, we find a way to train 1.5B models via SAEs to score 43.33% Pass@1 on AIME24 and 90% Pass@1 on AMC23.

BREAKING: MIT just completed the first brain scan study of ChatGPT users & the results are terrifying. Turns out, AI isn't making us more productive. It's making us cognitively bankrupt. Here's what 4 months of data revealed: (hint: we've been measuring productivity all wrong)

As biased as I might be, It’s an exciting time to be doing research in SE! Submitting to this cycle of ICSE was a rewarding experience—now looking forward to the reviews and feedback 😄

A question that lives rent free in my head...

🚀 We’re hiring at NVIDIA! Our team is pushing the frontier of LLM / DLM post-training and system optimization. We are looking for exceptional people with large-scale LLM + systems experience to join us (full time only). 🔹 Focus areas include: •Post-training of large models

Evil genius?