Eric Horvitz
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erichorvitz.bsky.social
Eric Horvitz
@erichorvitz.bsky.social
Chief Scientific Officer of Microsoft.
Reposted by Eric Horvitz
Recently, IDT Scientist Adam Clore helped detect AI-designed protein sequences that could be biosecurity threats. The results of the study, led by @microsoft.com CSO @erichorvitz.bsky.social are now published in @science.org.

💻Read more in @technologyreview.com: idtb.io/3bfxmf
October 9, 2025 at 5:15 PM
Reposted by Eric Horvitz
Paraphrasing a protein is like paraphrasing a sentence—the words change, but the meaning holds. Microsoft scientists applied this concept to toxic proteins, revealing a blind spot in DNA screening and leading a cross-sector team to develop a fix. msft.it/6010s4tW8
October 16, 2025 at 3:04 PM
We enjoyed working with Adam Clore and his colleagues at @idtdna.bsky.social
Recently, IDT Scientist Adam Clore helped detect AI-designed protein sequences that could be biosecurity threats. The results of the study, led by @microsoft.com CSO @erichorvitz.bsky.social are now published in @science.org.

💻Read more in @technologyreview.com: idtb.io/3bfxmf
October 9, 2025 at 9:06 PM
Call for moonshots. First phase: abstracts due on Oct 25, 2025. moonshots.laude.org/call-for-pro...
Call for Proposals // Laude Moonshots
Laude Moonshots support computer science researchers taking big, urgent swings in AI
moonshots.laude.org
October 9, 2025 at 4:30 AM
How do we decide what not to share?
I explore “information hazards” in this blog--on when openness in science risks misuse. Paraphrase effort led to a first-of-its-kind publishing model, accepted by Science: "When AI Meets Biology" aka.ms/AAy56z3 Full paper on the project avail here: aka.ms/AAy5e9c
The Paraphrase Project
Strengthening nucleic acid biosecurity screening against generative protein design tools — improving hazard detection in the age of AI-assisted protein engineering.
aka.ms
October 6, 2025 at 7:37 PM
Background and resources on the Paraphrase Project, published in Science last week, with some of the behind-the-scenes story, my blog on the disclosure dilemma, and a conversation with Bruce Wittman, Tessa Alexanian, and James Diggans. @msftresearch.bsky.social

Full paper at: aka.ms/AAy5e9c
October 6, 2025 at 5:58 PM
Reposted by Eric Horvitz
Federal research funding works. It’s not an expense–it’s an investment. It’s not overhead–it’s a down payment on the future. - Eric Horvitz, Margaret Martonosi, Moshe Y. Vardi, and James Larus in CACM cacm.acm.org/opinion/keep... @erichorvitz.bsky.social
Keeping the Dream Alive: The Power and Promise of Federally Funded Research – Communications of the ACM
cacm.acm.org
September 12, 2025 at 5:28 AM
Study on clinician-AI collaboration: "As LLMs now demonstrate expert-level diagnostic performance, the focus shifts from whether AI can offer valuable suggestions to how it can be effectively integrated into the diagnostic workflow..." Many opportunities ahead.

www.medrxiv.org/content/10.1...
June 10, 2025 at 3:23 AM
I’m looking forward to the 2025 RAISE Health Symposium at Stanford University, hosted by @stanfordmedicine.bsky.social and the @stanfordhai.bsky.social. Symposium explores the today's health AI, what’s coming next, and directions forward. More here: med.stanford.edu/raisehealth/...
June 2, 2025 at 1:55 PM
Conversation with the Computer History Museum on the trajectory of AI through time, on where we are today, and on directions heading into the future. www.youtube.com/watch?v=ddjN...
@computerhistory.bsky.social
Chatbots Decoded Interview: Eric Horvitz
YouTube video by Computer History Museum
www.youtube.com
June 1, 2025 at 8:08 PM
Code avail for paper, "Improving Instruction-Following in Language Models through Activation Steering" at #ICLR2025. Exciting to see influence of computed vectors across models.
Paper: arxiv.org/abs/2410.12877
Repo: github.com/microsoft/ll...
@alestolfo.bsky.social @besmiranushi.bsky.social
April 16, 2025 at 10:06 AM
The 2025 AI Index report has been published. Summary & link to full report here: hai.stanford.edu/news/ai-inde... @stanfordhai.bsky.social #AI100
AI Index 2025: State of AI in 10 Charts | Stanford HAI
Small models get better, regulation moves to the states, and more.
hai.stanford.edu
April 8, 2025 at 12:50 PM
Reposted by Eric Horvitz
Seq2Symm is out now in @naturecomms.bsky.social! PLMs continue to be unreasonably efficient-- even for highly divergent sequences.

Meghana and Minkyung did a great job leading on this!

📄: www.nature.com/articles/s41...
💻: github.com/microsoft/se...
Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm - Nature Communications
Seq2Symm is a sequence-based AI model designed to predict the symmetry of protein structures composed of identical chains, known as homo-oligomers. It surpasses existing methods in accuracy and effici...
www.nature.com
March 3, 2025 at 4:43 PM
Just released: Report of the 2025 AAAI Presidential Panel on the Future of AI Research. Covers a selection of topics of a larger set of research directions, providing high-level glimpses. Enjoyed collaborating with colleagues on the project. Report pdf avail here:
aaai.org/wp-content/u...
March 3, 2025 at 12:51 PM
Background on our quantum computing announcement this week on progress on developing a topologically protected qubit: Here's an open version of my LinkedIn article on the nearly two-decade--long project: aka.ms/quantum_brea...
https://aka.ms/quantum_breakthrough
t.co
March 3, 2025 at 1:53 AM
MedHELM announced: Popular benchmarks for medical challenge problems have become saturated w/ high perf. of LLMs. New set of benchmarks for evaluating performance LLMs in medicine. 31 datasets, clinically relevant tasks covering 22 subcategories.

Leaderboard: lnkd.in/gZ7CkNqc
Blog: lnkd.in/gsVQUc2P
Holistic Evaluation of Language Models (HELM)
lnkd.in
March 3, 2025 at 1:46 AM
Meeting at Asilomar 50 yrs after 1975 meeting. New issues today with fast-paced advances of AI & biology--and timeless pursuit of questions & directions on the responsibilities of scientific community. Important conversations in a beautiful setting.

NPR coverage: www.npr.org/2025/02/25/n...
March 3, 2025 at 1:36 AM
Great way to catch up with colleagues on the latest innovations in AI: Poster sessions! At annual meeting of the Association for the Advancement of Artificial Intelligence (AAAI) in Philadelphia.
March 3, 2025 at 1:10 AM
When science & technology transcend politics: At Senate Committee hearing, Senators Maria Cantwell & Ted Cruz joined hands to showcase Microsoft’s new quantum chip that leverages discoveries at the frontiers of physics. A striking bipartisan moment. More on quantum effort: aka.ms/quantum_brea...
March 3, 2025 at 1:01 AM
Recent results on performance of 01-preview model on medical diagnosis & management challenges arxiv.org/abs/2412.10849 For additional reflections, see article on LinkedIn: www.linkedin.com/pulse/advanc...
Superhuman performance of a large language model on the reasoning tasks of a physician
Performance of large language models (LLMs) on medical tasks has traditionally been evaluated using multiple choice question benchmarks. However, such benchmarks are highly constrained, saturated with...
arxiv.org
December 20, 2024 at 4:06 AM
Surprising scene: Jug of spilled milk in front of exhibition hall at NeurIPS meeting. Great catching up with John Platt as the anomalous event unfolded. We both had our assistants at the ready.
December 14, 2024 at 7:21 PM
Reposted by Eric Horvitz
Super excited to preprint our work on developing a Biomolecular Emulator (BioEmu): Scalable emulation of protein equilibrium ensembles with generative deep learning from @msftresearch.bsky.social ch AI for Science.

www.biorxiv.org/content/10.1...
December 6, 2024 at 8:39 AM
Perspective article in Cell, "How to build the virtual cell with artificial intelligence: Priorities and opportunities." Enjoyed the collaboration with fabulous colleagues on this perspective piece: www.cell.com/cell/fulltex...
How to build the virtual cell with artificial intelligence: Priorities and opportunities
Advances in AI and omics enable the creation of AI virtual cells (AIVCs)—multi-scale, multimodal neural network models that simulate molecules, cells, and tissues across diverse states. This vision outlines their design and collaborative development, promising to transform biological research through high-fidelity simulations, accelerating discoveries, and fostering interdisciplinary open science collaborations.
www.cell.com
December 13, 2024 at 6:08 PM