I'm excited to share that I have been appointed as a new MIT faculty starting this September as an assistant professor at the MIT Media Lab. Very excited!
Official Announcement: https://t.co/HveuWGTD20
@medialab@FluidInterfaces@AHA_MediaLab@MIT
Overreliance is the root of many problems with AI use, from errors to deskilling and loss of human agency. But with GenAI and now agentic tools, we have to rethink how to conceptualize and measure AI reliance. Really excited to see this work out!
Last week, I had the honor of hosting our annual symposium tackling one of the most urgent questions of our time:
"How do we ensure the first generation growing up with AI thrives?"
You can watch the symposium here: https://t.co/Q8xeEzBc36
Meet Human Operator from MIT Media Lab: a wearable that lets AI temporarily take control of your hand using electrical muscle stimulation.
Watch it crush piano, draw perfectly, and mix cocktails like a pro — all from a simple voice command.
“I gave an AI a body.”
This isn’t sci-fi. This is tomorrow.
#HumanOperator #MITMediaLab
We’ve been quietly working on projects we weren’t ready to share until now. The event is by invitation only. A public livestream will be available for those who want a glimpse of what’s coming: https://t.co/LxcA9VRqSY
Human Capital in the Age of AI
Asia Business Speaker Series 2026 Continues by exploring AI and Tech Space!
📍 Location: Aldrich 008, Harvard Business School
📅 Date: Tuesday, April 21
⏰ Time: 3:30 – 4:00 PM EDT
🎟️ Secure your spot: https://t.co/tjZPXxwYPV
OMG!!! We concluded with: “At present, only 16.0% of reviewed benchmarks conducted any statistical testing. Increasing the use of robust statistical methods for LLM benchmarking is critical.” @GaryMarcus
The AI Scientist: Towards Fully Automated AI Research, Now Published in Nature
Nature: https://t.co/nNfpSV5e5I
Blog: https://t.co/i6h8LVQOdl
When we first introduced The AI Scientist, we shared an ambitious vision of an agent powered by foundation models capable of executing the entire machine learning research lifecycle.
From inventing ideas and writing code to executing experiments and drafting the manuscript, the system demonstrated that end-to-end automation of the scientific process is possible.
Soon after, we shared a historic update: the improved AI Scientist-v2 produced the first fully AI-generated paper to pass a rigorous human peer-review process.
Today, we are happy to announce that “The AI Scientist: Towards Fully Automated AI Research,” our paper describing all of this work, along with fresh new insights, has been published in @Nature!
This Nature publication consolidates these milestones and details the underlying foundation model orchestration. It also introduces our Automated Reviewer, which matches human review judgments and actually exceeds standard inter-human agreement.
Crucially, by using this reviewer to grade papers generated by different foundation models, we discovered a clear scaling law of science. As the underlying foundation models improve, the quality of the generated scientific papers increases correspondingly. This implies that as compute costs decrease and model capabilities continue to exponentially increase, future versions of The AI Scientist will be substantially more capable.
Building upon our previous open-source releases (https://t.co/H1tBT14Yx8), this open-access Nature publication comprehensively details our system's architecture, outlines several new scaling results, and discusses the promise and challenges of AI-generated science.
This substantial milestone is the result of a close and fruitful collaboration between researchers at Sakana AI, the University of British Columbia (UBC) and the Vector Institute, and the University of Oxford. Congrats to the team!
@_chris_lu_@cong_ml@RobertTLange@_yutaroyamada@shengranhu@j_foerst@hardmaru@jeffclune
The line-up for the AI and Innovation series at the Ryan Institute on Complexity in the Spring is pretty epic!
Mark your calendar for talks by @zhitzig, @allisonkoe, @samgarvingold, @patpat_mit
I am honored to join the panel at Cornell's Health Tech Summit, "Moonshots: Big Bets and Radical Innovations Transforming Healthcare," alongside Jianying Hu (IBM), Justine Levin-Allerhand (Flagship), and Guillermo Sapiro (Apple): https://t.co/SinmxPSHcd
@medialab@AHA_MediaLab
I am deeply honored to be speaking today at the UN Economic and Social Council (ECOSOC) Chamber on “AI and the Future of Human Flourishing,” as part of the Royal Academy of Science International Trust (RASIT) event #UnitedNations
If you're in Singapore tonight, join me and Kathleen Ditzig (National Gallery Singapore) for this conversation on AI, Art, and human flourishing.
📍 Padimai Art & Tech Studio, 39 Keppel Road #03-02, Singapore 089065
📅 31 January 2026, 5–7pm
🚀 CHI 2026 BiAlign Workshop & Happy Holidays🎄🥰!
Thrilled to announce the #CHI2026 BiAlign Workshop on Human–AI Interaction Alignment!
We invite researchers & practitioners to join us for Designing, Evaluating, and Evolving Value-Centered AI for Reciprocal Human–AI Futures.✨
📅 Deadline: Feb 12, 2026 (11:59pm AOE)
📄 Submission formats: 2-page (tiny), 4-page (short), & 8-page (long) papers
📍 Workshop date: Mid-Apr, 2026 (TBD) | CHI 2026
🔗 Website: https://t.co/HiGnvrndER
We welcome work on: • Value-centered alignment mechanisms
• Novel alignment demands for responsible AI
• Design and interaction for alignment;
• Evaluating alignment and societal impacts;
• Dynamic co-evolution of human-AI futures
👫 Join an interdisciplinary community spanning HCI, AI, ML, NLP, CSCW, XAI, ethics, and social computing, and help shape the future of reciprocal, value-centered human–AI alignment.
💗Many thanks to —and meet—our amazing organizing team: @tknearem, @divy93t, @patpat_mit, @Yike_Shi, @jennytliang, @Anoop_Sinha, @tanmit, @_lamaahmad, @bradamyers, @yangli169!
#CHI2026 #BiAlign #HumanAIAlignment #ValueCenteredAI #CFP #HCI #ResponsibleAI
Your 3am questions were... interesting. Your 2025 AI Wrapped is ready and we're not judging (much) 😏 https://t.co/OfzqCVs4MJ #aiwrapped2025
Privacy note: Your conversation data is de-identified before analysis and is not stored. The analysis is for research purposes only.
Tomorrow, I'll be sharing my most recent research from the MIT Media Lab at the University of Tokyo, thanks to Professor @drinami for the hosting me there.
Time: 12:00 PM
Location: University of Tokyo, Living Lab Komaba