💡 Key takeaway: AI isn’t here to replace educators but to empower them, enhancing their ability to engage students and make learning more inclusive and impactful. Check out our paper with Stephanie Baines here: lnkd.in/gEBGgBVj

This Saturday, we will pause to reflect on a year since the passing of Professor Benjamin Zephaniah, our beloved Professor of Creative Writing. When asked about his legacy, he simply said: "love". We honour that and extend our thoughts and love to all who feel his loss most deeply. 🤍🙏

Somewhat meta but there is a dopamine cycle in doing AI research that is pretty interesting Every day you wake up and you think about what experiment to run. You think thing X matters so you decide to improve it or ablate it. Then you write the code and pay some compute to find

To people who think "China is surpassing the US in AI" the correct thought is "Open source models are surpassing closed ones" See ⬇️⬇️⬇️

i'm comically impressed that people are coping on deepseek by spewing bizarre conspiracy theories -- despite deepseek open-sourcing and writing some of the most detail oriented papers ever. read. replicate. compete. don't be salty, just makes you look incompetent.

We are excited to announce the launch of Datasets and Benchmarks Track! It aims to serve as a venue for the presentation of high-quality datasets & benchmarks & tools that are essential for advancing research and applications in data science, data mining, data-centric ML.

New piece out! We explain why Fully Autonomous Agents Should Not be Developed, breaking “AI Agent” down into its components & examining through ethical values. huggingface.co/papers/2502.02… With Avijit Ghosh Sasha Luccioni, PhD 🦋🌎✨🤗 and Giada Pistilli (1/2)

The final admission that the 2023 strategy of OpenAI, Anthropic, etc. (“simply scaling up model size, data, compute, and dollars spent will get us to AGI/ASI”) is no longer working!

📌 𝑺𝒖𝒎𝒎𝒆𝒓 𝑺𝒄𝒉𝒐𝒐𝒍 𝑨𝒏𝒏𝒐𝒖𝒏𝒄𝒆𝒎𝒆𝒏𝒕📌I have the great pleasure to announce the first Lake Como Summer School on "𝑳𝒆𝒈𝒂𝒍 𝑪𝒐𝒎𝒑𝒍𝒆𝒙𝒊𝒕𝒚 𝒂𝒏𝒅 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚: 𝑨𝒅𝒗𝒂𝒏𝒄𝒆𝒅 𝑻𝒐𝒐𝒍𝒔 𝒇𝒐𝒓 𝒕𝒉𝒆 𝑳𝒆𝒈𝒂𝒍 𝑺𝒑𝒉𝒆𝒓𝒆" - all infos below

To all my AI friends: You must be a good prompt, because whenever we chat, you complete me. Happy Valentine's Day! ❤️

In today’s competitive product landscape, scientific understanding of models often lags behind speed of model deployment. If the goal is to train a deployable model (especially when bottlenecked by compute), it totally makes sense to make several changes at a time without

An introductory talk by Christopher Manning Christopher Manning on “Large Language Models in 2025 – How much understanding and intelligence?” at the Workshop on a Public AI Assistant to Worldwide Knowledge at Stanford University, covering 3 eras of LLMs, RAG, Agents, DeepSeek-R1, using LLMs, ….

ft.com/content/0ec712…

RESEARCH FUNDING AVAILABLE: APPLY NOW Our research fund is now open for applications, on the theme of ‘Building the digital good’. Find out more here: digitalgood.net/digital-good-r…

We are bringing back Stanford’s CS 25 Transformers Course (cs25.stanford.edu) today! It’s open to everybody! This is one of Stanford University's hottest seminar courses. We open the course through Zoom to the public. Lectures start today (Tuesdays), 3-4:20pm PDT, at

I am so sorry that the U.S. is letting down our friends and allies. Broad tariffs, implemented not just against adversaries but also steadfast allies, will damage the livelihoods of billions of people, create inflation, make the world more fragmented, and leave the U.S. and the

New benchmark for deep research agents! An agent that is creative and persistent should be able to find any piece of information on the open web, even if it requires browsing hundreds of webpages. Models that exercise this ability are like a frictionless interface to the

How ice cream was invented [🍨 thestellarsagas]

Welcome to the PhD Symposium 2025!

Happening now! Brunel University 's Computer Science PhD Symposium'25. Keynote Speaker Dr Michael Schlictkrull Michael Schlichtkrull who introduced the novel NLP task of finding and summarising indicators of reliability and trust, rather than truthfulness: automated source criticism.