Ryan Hauser

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Ryan Hauser

Ryan Hauser

@r__hauser

Research Fellow @Mercatus | AI Governance | Studying @STS_VT | ◁▷◁

Washington, DC Katılım Ekim 2021
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Ryan Hauser
Ryan Hauser@r__hauser·
Experimenting with reduced time on X in the new year. But you can still follow my work at machineculture.io.
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Ryan Hauser
Ryan Hauser@r__hauser·
Will Claude Mythos finally uncover the logical exploit allowing dictatorship that Kurt Gödel found in the US Constitution?
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Ryan Hauser
Ryan Hauser@r__hauser·
Stay frosty, America.
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Ryan Hauser retweetledi
Mercatus Center
Mercatus Center@mercatus·
How do institutions adapt when conditions change? Mercatus is inviting proposals on institutional resilience under stress. 📅 Apply by April 30 → bit.ly/3PRXsGY
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SAIL Media
SAIL Media@readsail·
China’s AI ecosystem is moving at a pace most of the West isn’t even tracking yet. 🇨🇳🤖 @RichSFO from @AntGroup discusses the "OpenClaw" sensation and why what you see in a demo isn't always what you get in production. We talk about: - The "frontier models" actually driving usage. - Why the North American ecosystem is missing the full picture. - The reality gap between AI demos and production-ready tools. Is the West falling behind on AI implementation? 🧵👇 Full interview just dropped on YT! Link in replies.
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Peter Wildeford🇺🇸🚀
Peter Wildeford🇺🇸🚀@peterwildeford·
Jensen here is frustrating and wrong. The man wrote off billions so of course he opposes controls. 1. Mythos is a ~10T parameter model trained on Nvidia Blackwell. Despite Jensen's best efforts, China doesn't have Blackwell chips thanks to export controls. Huawei's best chip delivers 1/3 the per-chip performance, at 2.5x the power cost, with yields >12x worse. Jensen calling Mythos "fairly mundane capacity" that's "abundantly available in China" is just plainly false. 2. Dwarkesh is right that the compute ratio matters geopolitically. Maintaining a capability lead during the critical window — even 12-18 months — is the whole point of controls. The difference between China running a thousand vs. a million offensive AI agents is huge. Jensen dodges this entirely. 3. Jensen can't simultaneously argue "controls failed because China innovated anyway" (DeepSeek) AND "we must sell to China or they'll leave our ecosystem." If they'll innovate regardless, selling chips doesn't buy the loyalty he claims. 4. Jensen's ecosystem stickiness point (x86, Arm) is his strongest argument, but it cuts against him: the world is already locked into CUDA. Selling Nvidia chips to China doesn't deepen that - it just gives China better hardware while they build Huawei alternatives regardless.
Dwarkesh Patel@dwarkesh_sp

Distilled recap of the back-and-forth with Jensen on export controls: Dwarkesh: Wouldn’t selling Nvidia chips to China enable them to train models like Claude Mythos with cyber offensive capabilities that would be threats to American companies and national security? Jensen: First of all, Mythos was trained on fairly mundane capacity and a fairly mundane amount of it by an extraordinary company. The amount of capacity and the type of compute it was trained on is abundantly available in China. Dwarkesh: With that, could they eventually train a model like Mythos? Yes. But the question is, because we have more FLOPs, American labs are able to get to this level of capabilities first. Furthermore, even if they trained a model like this, the ability to deploy it at scale matters. If you had a cyber hacker, it's much more dangerous if they have a million of them versus a thousand of them. Jensen: Your premise is just wrong. The fact of the matter is their AI development is going just fine. The best AI researchers in the world, because they are limited in compute, also come up with extremely smart algorithms. DeepSeek is not an inconsequential advance. The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation. Dwarkesh: Currently, you can have a model like DeepSeek that can run on any accelerator if it's open source. Why would that stop being the case in the future? Jensen: Suppose it optimizes for Huawei. Suppose it optimizes for their architecture. It would put others at a disadvantage. As AI diffuses out into the rest of the world, their standards and their tech stack will become superior to ours because their models are open. Dwarkesh: Tesla sold extremely good electric vehicles to China for a long time. iPhones are sold in China. They didn't cause some lock-in. China will still make their version of EVs, and they're dominating, or smartphones, they're dominating. Jensen: We are not a car. The fact that I can buy this car brand one day and use another car brand another day is easy. Computing is not like that. There's a reason why x86 still exists. There's a reason why Arm is so sticky. These ecosystems are hard to replace. Dwarkesh: It's just hard to imagine that there's a long-term lock-in to the Chinese ecosystem, even if they have this slightly better open-source model for a while. American labs port across accelerators constantly. Anthropic's models are run on GPUs, they're run on Trainium, they're run on TPUs. There are so many things you can do, from distilling to a model that's well fit for your chips. Jensen: China is the largest contributor to open source software in the world. China's the largest contributor to open models in the world. Today it's built on the American tech stack, Nvidia’s. Fact. All five layers of the tech stack for AI are important. The United States ought to go win all five of them. in a few years time, I'm making you the prediction that when we want American technology to be diffused around the world—out to India, out to the Middle East, out to Africa, out to Southeast Asia—on that day, I will tell you exactly about today's conversation, about how your policy ... caused the United States to concede the second largest market in the world for no good reason at all.

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Mercatus Center
Mercatus Center@mercatus·
When governments direct resources to specific industries, it can shape who benefits from growth. @veroderugy examines renewed interest in industrial policy and the limits policymakers face in directing resources. via @latimes latimes.com/opinion/story/…
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Mercatus Center
Mercatus Center@mercatus·
Congrats to @RMLLowe & @HenryEOliver on the launch of their new podcast, The Street Porter and the Philosopher. You won't want to miss the first episode with Sunil Iyengar of @NEAarts, who brings the data about the reading crisis in America.
Rebecca Lowe@RMLLowe

today, @HenryEOliver and i launch our podcast, The Street Porter and the Philosopher! in the 1st episode, Henry talks with Sunil Iyengar @NEAarts about whether there's a reading crisis in America.. [link to transcript in next tweet!] m.youtube.com/watch?v=JkokJ4…

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Rebecca Lowe
Rebecca Lowe@RMLLowe·
this new podcast is part of is part of our substack project, The Pursuit of Liberalism, where we argue that classical liberals should refocus on the arts and philosophy alongside economics. check it out here: pursuitofliberalism.com
Rebecca Lowe@RMLLowe

today, @HenryEOliver and i launch our podcast, The Street Porter and the Philosopher! in the 1st episode, Henry talks with Sunil Iyengar @NEAarts about whether there's a reading crisis in America.. [link to transcript in next tweet!] m.youtube.com/watch?v=JkokJ4…

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Ryan Hauser
Ryan Hauser@r__hauser·
Every man must walk through his Al Pacino era. The question is... Whose Pacino? Which rascality?
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Seth Lazar
Seth Lazar@sethlazar·
This makes for a nice contrast in my timeline with the OpenAI memo. If there’s anyone I would bet on building agent advocates, it’s @luke_drago_ and @LRudL_ and co—very glad to see them being backed.
Mira Murati@miramurati

Welcome @luke_drago_ and @LRudL_ to @thinkymachines. They started Workshop Labs determined to build AI that keeps the future human. They’ll continue that mission at Thinking Machines, where we create powerful AI systems that think alongside humans and extend our agency.  From Tinker to our research grants to the work we're doing to advance the frontier, everything we do is in service of the same mission -- AI that keeps our civilization empowered. Luke and Rudolf have been building toward the same thing. There's a path for AI to make humans matter more. Glad to have them working on it with us.

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Chang Che
Chang Che@Changxche·
I'm surprised by the takeaway that chip controls aren't working. Every AI researchers in the top Chinese labs consistently tell me chips are their main bottleneck. And almost all of them now use Claude Code and Codex. I just talked to one ByteDance researcher who thinks the gap between US and China is growing larger. The optimism seems mostly in the embodied AI space.
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