... | prev undergrad @miteecs and @mitbiology, @cartesia @janestreetgroup | usa imo 2019

california
Joined April 2021
happy to announce that we've gotten rid of tokenizers! especially excited with what we've replaced them with: end-to-end trainable modules that not only learn to group characters into (sub)words, but can iterate to group words into phrases and further higher-order concepts see @sukjun_hwang's thread for more details 👇
Tokenization has been the final barrier to truly end-to-end language models. We developed the H-Net: a hierarchical network that replaces tokenization with a dynamic chunking process directly inside the model, automatically discovering and operating over meaningful units of data
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one interesting failure mode in startup land is when people fixate on the current bottleneck instead of thinking about what the world will look like 2-3 years
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brandon wang retweeted
Replying to @bilaltwovec
hm yeah my p(doom) is low but my p(vast swathes of the internet go down for a few days-weeks) is like 10-20%
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"So you can sell the west a medicine, just not the platform that makes the next 100 of them"
My theory is biotech is about to turn into a national security thing and the west doesn't really get a vote Beijing just floated blocking foreign buyouts of china's cell and gene therapy and siRNA platforms And what's interesting is what they're NOT blocking. Licensing individual drugs is still totally fine So you can sell the west a medicine, just not the platform that makes the next 100 of them And the west has been buying like crazy lol. Foreign deals for chinese biotech assets are at $120B through august, up 36% Astrazeneca's $1B gracell deal, that CAR-T platform, probably doesn't happen under this draft Same update hits AI tech too btw we spent years fighting over who gets the chips. Feels like the next fight is over who owns the platforms that spit out the next generation of medicines Once biology is programmable it's not really a healthcare business anymore, it's infrastructure Still just a draft tho, comments open till nov 15 bio/acc.
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brandon wang retweeted
IMO you can make a strong argument that the middle and esp upper-middle class today are very BORING with their money and their patronage. But waiting for the Central Committee For Approved Art to make things exciting is like waiting for bread to become less stale. Go make.
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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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brandon wang retweeted
I don't think you should be mean to Claude but I don't think you should be mean to an alarm clock either How you treat every thing in the world matters, becomes reflected in your own mood
Most people are afraid of AI because they are mean to machines. The alarm clock only rings because he wants to be helpful.
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brandon wang retweeted
"I spent thousands of hours on that problem. I really enjoyed it. Hearing that it is solved somehow makes me sad in a far-off way, like hearing an ex-girlfriend died suddenly in a car crash." re Barnette's Conjecture on HN news.ycombinator.com/item?id…
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brandon wang 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
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one day they will write posts like this about claude opus 5.5
11 years ago today, Apple over-engineered the iPhone 6s so thoroughly that millions of users simply refused to upgrade for the next six years. Panicked by the iPhone 6 "Bendgate" backlash, Apple didn’t just iterate in 2015. They accidentally over-engineered an immortal tank: • 7000-series aerospace alloy that flat-out refused to bend • MacBook-grade NVMe storage that smoked speed benchmarks for years • 3D Touch & the Taptic Engine, embedding 96 capacitive sensors under glass to give flat software actual physical depth • The A9 chip, which held on through 7 full generations of iOS (iOS 9 through iOS 15) Apple sold 13 million units in the opening weekend, and then customers simply refused to upgrade for half a decade. Do you remember the kind of hype Rose Gold color created back then?
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brandon wang retweeted
Altman, Olah, and Amodei all rely on this American Ted Talk-HR executive speak, eg "I am uncomfortable" "safety issue." Whereas Pope Leo and Rabbi Mois Navan (the one who told them if they believe it is conscious they are massive slavers) spoke with real clarity and candor.
I am very uncomfortable about people trying to ascribe religious force or a surrender of human judgment to AI models, and think it is a real safety issue.
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taking bets on whether this was iran, russia, china, misc hackers, or another rogue openai model
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i have been a pilot g2 user for over a decade but the xiaomi mijia gel ink pen might be my new favorite. between the sleekness/thinness and the ink quality it is really incredible, highly recommend
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hm i was already pretty bullish gdm but this is quite impressive
Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.
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unlucky day for rednote's ai chatbot
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absolutely incredible
Green hydrogen currently runs on iridium — one of Earth's rarest metals, a few tonnes mined per year. Our AI-directed lab screened 2,942 catalysts in 3 months and surfaced a palladium-based lead the field had written off, now past 1,000 hours of testing in acid. lila.ai/news/how-an-ai-run-l…
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brandon wang retweeted
Without a mechanism, I’m struggling to understand the importance of this. Host-pathogen interactions have been a rich source of biological tools for decades; it’s where CRISPR and restriction enzymes and Agrobacterium came from. But the way we get these tools to be great, and useful, is by understanding their mechanism such that we can begin engineering and improving them. I’m sure AI tools will be helpful for molecular characterization and engineering; so why not wait to announce until you actually do that?
We’ve set up a molecular biology lab at Anthropic and we’re announcing our first discovery! Claude discovered a new CRISPR-like enzyme. 950 agents spent 21 hours searching through a database of DNA sequences until one of the agents found something striking: “[The DNA next to the RT] is spectacular: I can see by eye a tandem repeat array … that's a CRISPR-like … repeat array?!”. After analysis and testing in our lab, we found that the sequence is a previously uncharacterized enzyme system. We don’t know what it does yet, but it has features reminiscent of CRISPR. Our lab looks like a typical molecular biology lab. Our research only involves the lower-levels of biosafety risk level; we don’t handle pathogens that can infect humans, and all the lab work is performed by human scientists. We’re sharing these early findings with the community to show how Claude can be used to accelerate fundamental research in biology.
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i dont get why people are reading so much into muse downloads/comparing it to chat etc. threads did similar numbers meta gets inf downloads on anything they make since they can just put ads that show up whenever you open ig
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brandon wang retweeted
I think there is an urgent need for every community to declare and commit to a central core value: we (humans) should help humanity flourish. Thanks to Terry Tao for highlighting many different views on the future of #Math+#AI on his blog by cross-posting guest posts: terrytao.wordpress.com/2026/… More interactive version: poshenloh.com/posts/20260919… The post reasons through why that human commitment then reconciles several conflicting positions that different groups had been taking over recent months: (1) it's important to preserve a strong community of human experts in every line of work (not just math), (2) AI can create significant new value for humanity, (3) people should change with technology, and (4) AI is going too fast, and must to slow down. Along the way, I predict that AI will slow down because we ironically have just created ... too many jobs to fill. That's because of the specter of AI-accelerated hacking. I hope this can lead more (human) communities to publicly declare that they are organizing their AI-driven strategic changes to advance human flourishing. Personal note: Ever since I had the opportunity to take a class from Terry Tao back at UCLA in 2008 (as a not-particularly noteworthy student), I was struck by his humility amidst astonishing brilliance (not just in math, but remarkably broadly). So, I knew that when I saw his name among the 25-Fields-Medalist declaration about the misalignment between AI and Math, he was trying to act in good faith. I am thrilled to collaborate in this way.
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a lot of the surprise of ai x math advances comes from people not internalizing test time compute scaling properly. inference compute per problem has gone up sharply this year (consumer gpt in jan, $2k for unit distance, $15m for ns) partly bc ttc scaling has improved a lot
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