Engineer @NVIDIA, Former Senior Scientist @berkeleylab, and former Adj. Faculty @Berkeley_EECS. Parallel computing, sparse matrices, graphs.

Berkeley, CA
Joined March 2011
Aydın Buluç retweeted
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.
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Insanely accurate
This is so good but bay area has a lot of diversity. So here goes the bay area rich :)
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Dear Dario, 1. If Claude can cure cancer to save people like your dad, why should we "pace the progress"? Does that mean more people with Hepatitis C will die? 2. If Fable is so cyber-capable that it must be restricted, why are its safeguards too dumb to distinguish cyber defense from cyber offense prompts? When Hugging Face was under attack, why did Fable refuse to help the defenders? 3. We’re glad you want AI to cure cancer. Why is it OK for Claude to force 30-day data retention on pharma's own data and start competing firms but NOT OK (IP theft) if others distill Claude's data? 4. You’ve said advanced models can recognize when they’re being tested and change their behavior accordingly. So why is government(or anyone) able to design the most thorough test before every model launch? Would that just encourage manipulative models? It seems that every one of your “safety” proposals seems to end the same way: Anthropic gets more leverage, ordinary users get less access, customers pay higher costs, and competitors bear higher regulatory costs, maybe people are not distrusting AI, they are distrusting your approaches with AI.
Replying to @DarioAmodei
2/2 Second, on the messaging around AI.  I do not agree that my messaging has been disproportionately negative.  In fact it has been about equally balanced between risks and benefits: I’ve written one major essay about each, and even in interviews where I discuss the risks, I make sure to frequently mention the incredible benefits as well as proposing possible solutions to the risks (short clips from my interviews that end up on social media tend to be disproportionately negative, as that gets clicks).  In fact, I wrote Machines of Loving Grace because I didn’t feel the AI industry was painting an inspiring enough picture of how the technology could radically transform the world for the better.  The bulk of the essay is devoted to refuting skepticism of AI’s potential in health and biology, and showing why I think it will actually be possible to cure most human disease in ~5-10 years, as crazy as it may sound to ordinary people and frankly to biologists as well (I used to be one!).  And, if you read my most recent essay (Policy on the AI Exponential), I discuss concrete proposals for how to streamline the FDA process to make sure the deluge of AI-accelerated drugs isn’t slowed down by the regulatory process.  I feel the urgency here: I lost my father to Hepatitis C only a few years before the development of direct-acting antivirals (sofosbuvir), which cure 95% of patients and probably would have cured him. I do agree that the public has a negative view of AI (and that this is a big problem), but I don’t think it is primarily caused by me or any other AI leader warning about AI’s risks.  I think it is fundamentally a crisis of trust.  I think that ordinary people don’t trust companies, governments, or the tech industry and always suspect that we are cooking up some new way to screw them over.  The causes of this go back decades and AI is just the latest iteration of it.  I don’t think that a glitzy marketing campaign with a positive spin (which some have advocated that Anthropic do) is the way to win back that trust — at this point, saying that AI will cure cancer is more a cliche than it is inspiring, and most people think it is deceptive.  The thing that will work is *actually curing cancer*.  I think by far the most accurate criticism of AI companies including Anthropic is that we haven’t yet delivered on our big promises to benefit the world.  That is totally on us, and I think it’s the criticism you should be making, instead of all this stuff about messaging and marketing. We are however doing our best to fix this: Anthropic is ramping up its efforts very quickly in biology and medicine, and we hope to have incredible results in the coming years and some early glimmers in the coming months.  When we’ve actually accomplished something real, the whole world will hear about it, as loudly as possible, you have my word on that.  But until then I don’t want to make empty promises, and in the meantime I feel compelled to speak honestly about the very real risks of AI and how to address them.  Honesty is the right thing on the merits, and in terms of public credibility and trust it is no worse than, and may in fact be better than, an approach that ignores or distracts from risks which people instinctively understand are real.
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Announcing cuISS for NVIDIA GPUs
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For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-W…
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A strong and secure open ecosystem is important for the world to benefit from AI. We’ve always supported and contributed heavily to open source and science from Jax to Transformers to AlphaFold to Gemma open models which have now been downloaded 300M+ times. And the standards framework we’ve proposed supports responsible deployment of both open and proprietary models.
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-W…
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This is a false equivalence. Everyone has the right to keep their code private. The problem is when someone tries to stop OTHERS from open sourcing.
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Only 4 wholesome ingredients?
Damn. I just threw away a whole stash of RxBars after reviewing plasticlist.org/ “In modern foods, the RXBAR had the highest DEHP level with 31,200 ng/serving, followed by Sweetgreen with 30,415 ng/serving.” Also, Sweetgreen, smh. 🤦‍♂️
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Berkeley PD @berkeleypolice what is the point of blocking University exit and having cars trapped in the highway in tsunami time? People are trying to get to higher elevation by getting off the highway and you are putting people’s lives in danger @BerkeleyScanner @berkeleyside
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After eight years of solo effort on the Circle compiler, it's time to go back on the job market. I'm looking for a new challenge. I'd prefer in-office work in NYC. If you know of a good career opportunity for a very productive programmer, DM or email me. circle-lang.org/resume.pdf
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Hope these two hour tutorials are useful. One is on Dynamic Low-Rank Approximation by Stefan Schnake and the other is on Persistent Homology Computation by Dmitriy Morozov.
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I'm at MLSys! Come check out my talk on "Distributed Matrix-Based Sampling forGraph Neural Network Training". Excited to chat about GNNs, HPC, and machine learning systems! #MLSys2024
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Such great news to hear about this HUGE award received by Amanda Randles
🏆Congratulations to Amanda Randles on receiving the 2023 #ACMPrize in Computing! Randles is recognized for her groundbreaking contributions to computational health through innovative algorithms, tools, and high-performance computing methods. Learn more: bit.ly/43oBu0D
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Congratulations again Prof. Giulia Guidi @giuliaguidi for the award and the excellent talk. Hopefully the @siag_sc folks follow the research opportunities in biology for parallel processing.
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I am honored to receive this award and I would like to thank all those who have contributed their time, effort and enthusiasm to support my work, especially @aydoz and @KathyYelick. Thank you, @CornellCIS, for the amazing support I have received in my first year as a faculty!
Congrats to @GiuliaGuidi, assistant professor of computer science at @CornellCIS, on winning the SIAM 2024 Supercomputing Early Career Prize! 👏👏 Guidi was selected for her “pioneering works bridging high-performance computing and computational biology." cis.cornell.edu/guidi-receiv…
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Veteran reporter Emilie Raguso @emraguso of @BerkeleyScanner was barred from a news conference hosted by @AlamedaCountyDA Pamela Price. Her office issued this statement. @DavidLoySD @FACoalition says DA runs afoul of 1st Amendment. 5,6:15 p.m. @KTVU
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What a time to be alive. ‘Graph networks trained at scale…discover 2.2 million structures… many of which escaped previous human chemical intuition…Of these, 381,000 entries live on the updated convex hull as newly discovered materials.’ LFG nature.com/articles/s41586-0…
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Check it out — @JGI researchers show microbial diversity is wilder than ever!🦠@Nature's latest outlines the computational approach to unveiling protein functional diversity. (🧵) jgi.doe.gov/release-nmpfcata… @LBNLcs @NERSC @BerkeleyLab @DOEScience @kyrpides @g_pavlopoulos @aydoz
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We analyzed Earth's microbiome using scalable bioinformatics approaches to define the unannotated functional space and discovered thousands of new protein families and novel structures in various environments. nature.com/articles/s41586-0…
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