AI Founder, Stanford MATH PhD; earliest transformer AI researchers.

AGI house at Hillsborough
Joined February 2016
Multiplayer agents working is really fun, remove single human boss as bottleneck
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Automate yourself out of the micromanaging workflow
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Private intelligence
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Space, Team of personal agents
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congrats for the super successful Ray Summit, amazing event @robertnishihara
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Coding taught AI how to execute. Investing may teach it judgment. @BillSun_AI believes financial markets could become the next training ground for machine intelligence. We explain why: open.substack.com/pub/studio… #ArtificialIntelligence #Investing #MachineLearning #VentureCapital #FutureOfAI
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I think this name started from Ren-Tech in Quant trading?
Whoever invented “Member of Technical Staff” was a genius. It filters out Staff/Principal title-maxxers, protects engineering and research from corporate ladder brain, and leaves recruiters staring at LinkedIn like: “Is this person L4 or L7?” MTS is the best title. Happy to be MTS.
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Publishing a fun discussion (in Chinese) about Anthropic's Mythos model. Last time we had a chat on the topic of Anthropic in 2026 Jan when Anthropic is raising 350B valuation round, and I predicted there will be major correction for the whole enterprise software, especially SAAS sector. This time at 2026 April 16, Mythos's launch made a splash, and recently Anthropic is raising 900B valuation round, let's try to make some prediction on what kind of impact on stock market that Mythos will have.
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A fun podcast I hosted about personal AI hardware with Jaggie Zhu and Austin Mejia from @PLAUDAI
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Top takeaways: “Plaud is really about augmenting your professional life and giving you the freedom of perfect memory.” “We index on people for whom the value of their time and presence is worth hundreds, if not thousands, of dollars.” “We’re really trying to augment conversational intelligence, which most of the time involves two or more people.” “We make uncompromising investments in our hardware so that the fail state isn’t your hardware.” “We’re one of the only solutions that actually lets you store your own data on-premise.” “We’re the only player in the space building our own hardware, our own speech-to-text pipeline, and our own infrastructure around it.” “The magic of always-on agents is that they’re one step ahead of you, but in doing so, you compromise on your privacy and your agency.” “The best device isn’t the perfect thing for someone 24/7, but the best thing for the task you have to do today.” “Glasses are an incredible, very spiky form factor, but they’re not for everyone and they’re not for every scenario.” “On-device is a necessary part of the future, from a privacy perspective and from a reliability perspective.”
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In this session of Innovator Coffee, we sit down with Austin Mejia, founding PM from @PLAUDAI and Jaggi, Serial Entrepreneur, a seasoned product executive and investor for the #humanX 2026 onsite live podcast. Welcome to our guest host @BillSun_AI “We index on people for whom the value of their time and presence is worth hundreds, if not thousands, of dollars.” Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of #AI and #innovation. Follow us on Sportify, YouTube and Apple to like, share and comment. See the full session below next week: youtu.be/pMqByhIsm5c?si=ZFxb… #Innovatorcoffeepodcast #AI #innovationmahakumbhbastar
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Bill Sun retweeted
量化交易员的护城河是模型!而模型是可以被复制的。当 AI 全面参与量化,所有人用同一套框架做同样的交易市场回到均衡,alpha 消失,没人赚钱。 但 Druckenmiller 那种,把 1/3 仓位押在一个大 Idea 上,赌 5-10 倍——这种判断,不在模型里;它在公司组织架构里,在你对整个人类社会的理解里。 @BillSun_AI 说:造一个能做这件事的 AI,难度跟「让 AI 自己研究 AI」是同一个量级。AI 越强,能被复制的价值越便宜。剩下的,是那些 AI 暂时还学不会的东西。 🎙️ Indigo Talk EP48 节选
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