Machine learner, Python geek and former scikit-learn core dev. Researcher @OpenAI. Posting on LinkedIn now.
Santa Cruz Mountains
Joined January 2012
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Andreas Mueller retweeted
We are announcing three new discoveries in mathematics, computer science, and physics about harmonic analysis, complexity theory, and quantum field theory.
openai.com/index/building-sc…
Andreas Mueller retweeted
Episode 2 is out on Youtube! Feating @scottnarmstrong
youtube.com/watch?v=NaAkLIrQ…
Andreas Mueller retweeted
Also, my team is hiring! We research long-horizon agents and multi-agent. We’re hiring for alignment/safety because we want to develop new research with alignment/safety in mind during the whole process. We’re also hiring for human-AI interaction. openai.com/careers/research-…
Andreas Mueller retweeted
Happy to finally do a deep dive on multi-agent with @dwarkesh_sp! None of it would have happened without the great work on multi-agent from my @OpenAI teammates @kevinleestone, @mikegmalek, @__eknight__, @amuellerml, @zhangir_azerbay, @CheukHeiChu, and many others.
New episode with @polynoamial
We talk about multi-agent, Navier-Stokes, and what the current explosion of maths progress tells us about what happens once you automate AI research.
And we also discuss how we will know if the models are actually aligned before we kick off RSI.
0:00:00 – Multi-agent and Navier-Stokes
0:15:28 – How will AI firms work?
0:22:02 – What math progress tells us about recursive self improvement
0:40:22 – Hugging Face and alignment
1:01:18 – The internal/external model gap
1:08:34 – Chain of thought is degrading
1:14:12 – How will we know when alignment is solved?
Andreas Mueller retweeted
We’re releasing a broad range of new mathematical results produced by an internal frontier model.
We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.
github.com/openai/math
I'm so thankful to have been part of this incredible team effort. The next generation of models will be truly incredible.
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
Andreas Mueller retweeted
It is remarkable—and takes a moment to process—how quickly the next generation of models will accelerate our research, and breathe new life into old problems.
This was an incredible project done by an incredible team (and model) in just a week. Ad Astra we go ✨
Andreas Mueller retweeted
An internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science.
We believe it will be a major step for scientific reasoning. openai.com/index/ten-advance…
Andreas Mueller retweeted
The cost of generating the proofs for all 10 of these breakthroughs combined was under $2,000 at Sol API prices. We’re excited to see what scientists and researchers are able to create with our upcoming Astra models!
An internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science.
We believe it will be a major step for scientific reasoning. openai.com/index/ten-advance…
Andreas Mueller retweeted
📢 We are excited to announce "#FMSD: 1st Workshop on Foundation Models for Structured Data" has been accepted to #ICML 2025! Call for Papers: icml-structured-fm-workshop.…
Andreas Mueller retweeted
Open protocols like A2A and MCP are key to enabling the agentic web. With A2A support coming to Copilot Studio and Foundry, customers can build agentic systems that interoperate by design.
We are entering a new era in business where agents will not only act independently but also work together as a team. To bring this vision to life, open protocols like Model Context Protocol (MCP) and Agent2Agent (A2A) are essential for agent interoperability.
I am excited to announce that Copilot Studio and Azure AI Foundry will support A2A, building on the MCP support we announced earlier this spring. We have also joined the A2A working group on GitHub to help shape the spec and tooling.
This is a significant step forward and I can’t wait to see how it will transform the way we work. Find out more here: microsoft.com/en-us/microsof…
New preprint arxiv.org/abs/2502.05392
Open Challenges in Time Series Anomaly Detection: An Industry Perspective
This is a vision paper about what I think it missing from current research in time series anomaly detection, and how it could align better with practical applications.
Andreas Mueller retweeted
The data science revolution is getting closer. TabPFN v2 is published in Nature: nature.com/articles/s41586-0… On tabular classification with up to 10k data points & 500 features, in 2.8s TabPFN on average outperforms all other methods, even when tuning them for up to 4 hours🧵1/19
Andreas Mueller retweeted
Today OpenAI announced o3, its next-gen reasoning model. We've worked with OpenAI to test it on ARC-AGI, and we believe it represents a significant breakthrough in getting AI to adapt to novel tasks.
It scores 75.7% on the semi-private eval in low-compute mode (for $20 per task in compute ) and 87.5% in high-compute mode (thousands of $ per task). It's very expensive, but it's not just brute -- these capabilities are new territory and they demand serious scientific attention.
Andreas Mueller retweeted
Congrats to my friends at @Microsoft on getting Python in Excel to GA!
techcommunity.microsoft.com/…
I'm pretty frustrated with the current review process in ML (both from an author, reviewer and meta-reviewer perspective). There's possible solutions or at least experiments and changes, but I feel like business as usual is no longer feasible.
There's a great overview of challenges and proposals here: Great summary here: NeurIPS 2023 Tutorial (cmu.edu) (check slides and doc). If you agree that something needs to change, I'd suggest talking to a PC member or conference organizer.
Andreas Mueller retweeted
Wondering how humans should be involved in designing #AutoML solutions 🤔? Check out our #ICML2024 paper: "Position: A Call to Action for a Human-Centered AutoML Paradigm"! 📄✨ proceedings.mlr.press/v235/l…
Drop by at our poster on Thu, Jul 25 at 11:30 AM in Hall C 4-9 #2003 📅
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