Aditi Mavalankar
@aditimavalankar
Research Scientist @DeepMind working on Gemini Thinking
Excited to share our recent work, AuPair, an inference-time technique that builds on the premise of in-context learning to improve LLM coding performance! arxiv.org/abs/2502.18487
Delighted and honoured to receive a Knighthood for services to AI. It’s been an incredible journey so far building @GoogleDeepMind over the past 15 years, helping accelerate the field and grow the UK & global AI ecosystems. Thanks to everyone who helped make this dream possible!
Gemini with advanced deep think achieved gold medal-level performance at IMO 2025!🥇 Very happy to have been a small part of this collaboration on the inference side, and congrats to everyone involved!
An advanced version of Gemini with Deep Think has officially achieved gold medal-level performance at the International Mathematical Olympiad. 🥇 It solved 5️⃣ out of 6️⃣ exceptionally difficult problems, involving algebra, combinatorics, geometry and number theory. Here’s how 🧵
On my way to #ICML2025 to present our algorithm that strongly scales with inference compute, in both performance and sample diversity! 🚀 Reach out if you’d like to chat more!
Excited to share our recent work, AuPair, an inference-time technique that builds on the premise of in-context learning to improve LLM coding performance! arxiv.org/abs/2502.18487
Accepted to #ICML2025 See you in Vancouver!
Excited to share our recent work, AuPair, an inference-time technique that builds on the premise of in-context learning to improve LLM coding performance! arxiv.org/abs/2502.18487
Outstanding achievement, congratulations, @demishassabis and John Jumper!! 🎉
Huge congratulations to @DemisHassabis and John Jumper on being awarded the 2024 Nobel Prize in Chemistry for protein structure prediction with #AlphaFold, along with David Baker for computational protein design. This is a monumental achievement for AI, for computational…
Advanced mathematical reasoning is a critical capability for modern AI. Today we announce a major milestone in a longstanding grand challenge: our hybrid AI system attained the equivalent of a silver medal at this year’s International Math Olympiad!
We’re presenting the first AI to solve International Mathematical Olympiad problems at a silver medalist level.🥈 It combines AlphaProof, a new breakthrough model for formal reasoning, and AlphaGeometry 2, an improved version of our previous system. 🧵 dpmd.ai/imo-silver
Presenting new work clarifying our perspective on open-endedness (co-lead @edwardfhughes) A clear consequence of our definition: safety is a core problem for open-endedness -- OE cannot be achieved without 📚 understandability and 🎮 controllability towards interestingness 🧵
🔮 Open-endedness has the potential to reach superhuman intelligence. This raises vital ethical and safety considerations. ⚠️ AI systems must remain explainable and controllable: by our definition, AI systems which are incomprehensible are not open-ended. 🧵[5/N]
I am really excited to reveal what @GoogleDeepMind's Open Endedness Team has been up to 🚀. We introduce Genie 🧞, a foundation world model trained exclusively from Internet videos that can generate an endless variety of action-controllable 2D worlds given image prompts.