Researcher, educator, entrepreneur, and administrator in computer science, artificial intelligence, and healthcare.

San Francisco, CA
Joined May 2010
Jais-ASR ranks #1 on the Open Universal Arabic ASR Leaderboard. Our open model is built for Modern Standard Arabic and dialects from 19 countries. Beyond the leaderboard, it handles: - Natural code-switching with English, French, Spanish, and Italian - Robustness to background noise - Faithful transcription, resistant to hallucinations - Arabic diacritization - Built-in language and dialect identification Weights released under Apache 2.0: huggingface.co/IFM/Jais-ASR
5
7
23
957
Time also for university leaders to reflect due process, apoliticalness, meritocracy and many many now unfashionable principles that used to make universities great, fair, safe, and inspiring. What happened to Dr Sabatini hurts not only him and his family, it hurts science, universities, academia, and public trust of academic institutions, and many other women and men who are the real victims of professional misconduct but may have to experience mistrust because of such acts as from Dr Sabatini’s accuser. Universities must do better in upholding integrity and due process.
A civil jury ruled in favor of ex-MIT scientist David Sabatini, who was accused by a younger colleague of inappropriate sexual conduct in his Cambridge research lab, and awarded him $6 million in damages. trib.al/s3v9VIX
3
64
5,467
Jais 3 is built for Arabic from the start. Speech: the most accurate open Arabic ASR, across MSA and dialects Writing: fluent, native Arabic from the first line to the last Agents: leads open models on Arabic agentic tasks Download weights: huggingface.co/collections/I…
5
3
2
20
1,316
Huge thanks to the vLLM team! With Day-0 support on @vLLM, Jais 3 now runs on both of the serving stacks most teams already have. Weights: huggingface.co/collections/I… API: platform.ifm.ai/
📷 Day-0 support for Jais 3 in vLLM! Congrats to @IFM_AI and collaborators on the launch. Arabic-native agentic AI, ready to serve with vLLM from day one.
1
3
8
894
Introducing Jais 3, Arabic-native agentic AI. Jais 3 375B matches the best open models, and with Jais Speech offers the most advanced Arabic AI stack available. → Hugging Face: huggingface.co/collections/I… → Technical blog (Jais 3): ifm.ai/blog/jais3 → Technical blog (Jais Speech): ifm.ai/blog/jais-asr → Learn more: ifm.ai/jais/ Jais 3 was created by the Institute of Foundation Models (IFM) at MBZUAI, in collaboration with Inception42 and Cerebras Systems. #Jais3 #IFM #MBZUAI
12
48
16
306
40,634
Replying to @BachFrancis
(1/7) I'd like to provide some additional context for the remarks that can be found in this interview. (2/7) My discomfort with the attention being paid to existential risk---and with the ongoing dominance of the public discussion of such risks by a few so-called thought leaders---is that there's an elephant in the room that is being missed. That elephant is the effect of all of this discussion on young people, and indeed the effect---beginning with social media a decade ago---of information technology on young lives broadly speaking. (3/7) I recently read an interview by Jill Lepore in which she reports on discussions that she had recently with a group of college students: "They had just three things to say. One, social media completely destroyed their childhoods. Two, AI is destroying their college education and their likely prospects for employment. And three, what the hell are we all doing?" To add a fourth bullet that I've heard in similar discussions: "I'm not going to have children, because the existential risk is just too high." (4/7) Please contemplate such a statement, those of you who think that it's OK that the public, widely diffused, discussion coming from seemingly authoritative figures is so adamant about existential risk. (5/7) Let me add that I have little interest in a debate about what "superintelligence" might mean, or whether we're currently seeing the emergence of superintelligence. For what it's worth, I would certainly agree that the solution of extremely challenging math problems (for example) exhibits a very impressive form of intelligence, although I would want to argue that such intelligence is impossible to dissociate from the collective of humans that provided data to the machine learning system (which itself has become a kind of collective). (6/7) Such philosophical debates are entertaining and even important, but when they then head in the direction of "when such superintelligence emerges, there's a good chance that it will want to kill all humans", I say "science fiction". Again, I don't think that it's bad to consider such thoughts, but I strongly believe that it's bad for society, and especially young people, for such thoughts, unaccompanied by any serious real-world analysis, to become a dominant form of discourse of the era. (7/7) We are damaging human lives, and the consequences of that damage will no doubt be a major theme of the next several decades.
49
235
60
1,200
151,439
Eric Xing retweeted
This summer, the Institute for Progress and the Foundation for American Innovation organized a letter urging Congress to help prevent the misuse of AI for biological weapons. Dario Amodei, Sam Altman, and Demis Hassabis all signed. But @ericxing, a renowned computer scientist who, among many other things, cofounded an AI-driven biology company, didn’t. I asked him why. Watch our full conversation here: youtube.com/watch?v=kuVzFoIl…
4
3
1
19
6,989
Eric Xing retweeted
Michael I. Jordan, machine learning demigod, UC Berkeley ... the young people who work at these companies operate in a world [Silicon Valley, Berkeley, etc.] where these kinds of discussions are commonplace. Many of them aren’t really engineers; they come from the humanities, philosophy, or other disciplines. They’re 25 years old, they’re naive, they don’t do engineering work, they’ve never worked at large companies where real products are developed for real people, with discipline. And they get together, a bit like in Parisian cafés in the 1920s, to talk about these grand science-fiction ideas. When these young people resign, they know they’re going to attract attention. It allows them to feel virtuous and to be seen as very important figures. They claim to be giving up money, but in reality, they already have their stock options. So all of this is a grand moralizing performance that doesn’t serve the real objective it claims to pursue. There’s a great deal of naiveté here, which goes hand in hand with a certain cynicism… di.ens.fr/~fbach/MJordan_ITW…
47
192
45
1,763
213,517
It was a true pleasure to sit down with @nxthompson of Atlantic to share my thoughts on Open Source AI, World Model, and AI for Science. If you like to know my views on what to expect from a world model and how it should be built; how to transform medicine by simulating life across scales using a biological world model and virtual cell, and transparency and reproducibility in AI, the full-length conversation is available bellow. Nick is an extraordinary journalist and deep thinker with a quick mind and sharp questions! Thank you for having me in your studio and look forward to catching up again.
You might think that @ericxing, one of the most prominent advocates of open-source, would support China’s approach to AI, since all of its leading models are open. Instead, he says those models give the illusion of openness, but actually hold their users hostage. We had a fascinating conversation about the world models he’s building, and his strong views on open-source: youtube.com/watch?v=kuVzFoIl…
2
4
16
1,958
I am with @pmddomingos , it is about who discover it last when it stays discovered!
Replying to @rsalakhu
By the Columbus test, the real discoverer of something is not the first one to discover it but the last (when it stays discovered).
1
10
2,807
Rework is inevitable in large-scale LLM pre-training and fine-tuning. What it costs isn't. Introducing xLLM, an efficient and flexible infrastructure for pre-training and fine-tuning dense and MoE LLMs. It keeps key training decisions changeable without giving up throughput. Efficient, at 6,295 tokens/sec per GPU on K2-Horizon-MoVA-36B-A4B and 10,050 tokens/sec per GPU on Llama3-8B on H200s. Flexible, because the tokenizer, data mixture, model architecture, and training stages can change without rebuilding the dataset or the system around them. xLLM ships with the checkpoints, training logs, and recipes behind K2 Horizon: github.com/ifm-ai/xllm K2-Horizon-MoVA-36B-A4B: huggingface.co/IFM/K2-Horizo…
56
97
129
341
367,051
How big is this model? At @ICML in July we previewed K2-Horizon-3.7B and 7B and asked attendees to guess their size from watching them conduct real-work and coding tasks. Average answers, 89.9B and 62.6B. Both off by an order of magnitude. Density of intelligence matters more than parameter count now. The need for capable models at smaller sizes, lower cost and higher speed was overlooked. K2 Horizon is built around it. Try them: huggingface.co/IFM/K2-Horizo…; huggingface.co/IFM/K2-Horizo…
3
6
1
42
3,753
Michigan builders: K2 Horizon is coming to the University of Michigan this Saturday. ⛰️ Build with IFM’s open 375B-A23B flagship in the “Best Use of K2 Horizon” challenge. 🏆 100M tokens for every winning team member 📅 Sept. 19 | 9 AM–9 PM 📍 East Hall 1324 #K2Horizon #OpenSource
6
2
18
1,226
Glad to be quoted here (thank you @CNN and @TM_Brown!) of my standing on AI dystopia -- an idea, a software (which AI is), a blueprint on a file (which AI generates), is NOT a physical actuation. Closing this gap takes a long way and can/should be guardrailed. I'd quote (approximately) words of wisdom I remembered from X: "regulate the world of atoms, not algorithms; penalize the effects from misalignment, not misalignment; and monitor supply-chains/factories/infrastructures in real world, not blueprints on files"
A lot of people are saying AI is going to kill everyone. But how exactly? For @CNN I talked to some influential doomers about how the world will end—and some leading experts in existential risk about why they think that prospect is pure science fiction. cnn.com/2026/09/17/tech/how-… feat. @HeidyKhlaaf @So8res @HerbLinCyber @ericxing @thlarsen
1
10
1,849
Eric Xing retweeted
Out today in @cellpressnews: "A world model of the virtual cell," from our co-founders @ericxing and @dasongle. Their definition of a virtual cell is a stateful, multi-modal, multi-scale simulator, judged on whether it stays coherent across a sequence of interventions. Open access: cell.com/cell/fulltext/S0092…
1
8
1
35
2,936
We discussed fundamental issues in the definition, model architecture, computational algorithm, and meaningful evaluation/qualification of a fully steerable virtual cell that is multi-modal, multi-scale, dynamic, and stateful. @dasongle , @genbioai , @mbzuai , @CarnegieMellon cell.com/cell/fulltext/S0092…
2
10
66
3,596
Glad to be quoted here of my standing on AI dystopia -- an idea, a software (which AI is), a blueprint on a file (which AI generates), is NOT a physical actuation. Closing this gap takes a long way and can/should be guardrailed. I'd quote (approximately) words of wisdom I remembered from X: "regulate the world of atoms, not algorithms; penalize the effects from misalignment, not misalignment; and monitor supply-chains/factories/infrastructures in real world, not blueprints on files" edition.cnn.com/2026/09/17/t…
4
720