Another AI paradox: people are excited about LLMs, some even think that AGI is just around the corner. But some students are depressed how they can still get a PhD. Is it becoming pointless? Some personal notes on this. (1/8)

Our team in Google DeepMind Mountain View is looking for a Research Scientist/ Research Engineer. If you are interested in working on multimodal foundation models and their adaptability over time, come chat with me. I will be attending ICML and my schedule is quite flexible.

Gemini has achieved a classification accuracy of 90% on MMLU (with a combo of greedy sampling and a majority vote of 32 COT samples). This is remarkable! For reference, expert-level perf, defined at 95th percentile human test-taker accuracy in *each subject*, would be ~89.8%.

Gautam Kamath I have no doubt about the positive intentions behind this, but my fear is that it's yet another policy that will benefit kids with already exceptional access to education and mentorship. How about a specific track for work on AI that aims to equalize educational opportunity?

Very well done Usman Anwar and coauthors.

We're looking for an exceptional junior researcher in AI/ML with strong interests in diversity, equity and inclusion to fill this exceptional role funded by a generous donation from Google DeepMind. Deadline for application 5 July 2024.

I will be at the ICML in Vienna. If you are interested in continual learning in foundation models or other forgetting or adaptation related challenges in (V)LMs, come chat to me. I will be at/ around the Google DeepMind booth.

Believe it, Nadeem. You just became Pakistan's first ever athletics Olympic champion. 🇵🇰🥹

Still thinking about submitting to the continual foundational model development workshop at NeurIPS? We have extended the deadline to September 13 AoE. Please share it with others. sites.google.com/corp/view/cont…

Think you know Gemini? 🤔 Think again. Meet Gemini 2.5: our most intelligent model 💡 The first release is Pro Experimental, which is state-of-the-art across many benchmarks - meaning it can handle complex problems and give more accurate responses. Try it now →

Our new work on studying the generalization of language models from in-context learning and finetuning is out. See the thread below by my amazing co-author Andrew Lampinen and read the paper here: arxiv.org/abs/2505.00661 Give us your feedback.

I’m excited to share our new nature paper 📝, which provides strong evidence that the walkability of our built environment matters a great deal to our physical activity and health. Details in thread.🧵 nature.com/articles/s4158…