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Had a lot of fun chatting again with my twin brother @dylan522p We went through lab economics over the next few years - the shift from inference to training as RSI draws near; and how Anthropic and OpenAI are on track to control most of the world’s usable FLOPs within the next few years (because they can monetize compute better and thus outbid everyone). And then we discuss whether the >$10T of total AI capex we’ll see by the end of the decade will cause a sovereign debt crisis, where hyperscaler debt raises interest rates, drives non-AI exposed countries into bankruptcy, and crashes non-AI equities. One question we weren’t able to resolve is whether there’s anything that can counter all the forces barrelling towards centralization in this industry - the economies of scale in training, the scarcity of compute, and eventually continual learning and RSI. 0:00:00 – Two labs will soon control most of the world’s compute 0:07:01 – $6 billion in fab capex enables $1t+ of end revenue 0:13:08 – Compute prices will rise if the labs outbid everyone 0:18:22 – Which layer will capture most of the surplus? 0:25:40 – Will datacenter regulation slow down AI? 0:29:43 – Labs are shifting compute from inference to R&D 0:33:27 – China gets less than 10% of new compute, but its labs need less 0:48:48 – Will AI cause a sovereign debt crisis? 1:07:52 – Will the world's future workforce belong to a few companies?

Sholto, thank you for setting the record straight. Larger issue is that multiple very serious people in Silicon Valley have heard some variation of this and believe it to be true. And the reason it is believable to so many is that it is consistent with Dario’s public messaging and what he outlined in the essay you shared: this technology *might* be dangerous for humans in multiple ways, could lead to extreme concentration of economic power (as outlined in the essay) and therefore needs to be regulated thoughtfully. I agree with the potential risks and I believe Dario makes all of these arguments in good faith. 
As discussed on the pod, if one agrees that AI *might* be dangerous, there are two ways to address this potential risk. Either concentrate it in the hands of a chosen few companies and politicians via regulation or distribute it widely. Essentially boils down to whether one believes AI is too dangerous to concentrate or too dangerous to distribute. There are reasonable arguments on both sides, but I profoundly agree with Zuckerberg’s statement that: “The notion that AI is so dangerous that the only safe path is an extreme concentration of power seems inherently problematic. Historically, hoping that an absolute power will benevolently provide for humanity if sufficiently enlightened has not led to safe or positive outcomes.” And as Dario says in the aforementioned essay, “some may object that we can simply keep AIs in check with a balance of power between many AI systems, as we do with humans.” I believe this is the best path forward: I want as many AIs as possible to maximize the odds that one shares my own particular values. And as Dario notes, no human has ever been able to take over the world. At this point, I think safe to say that Dario has lost the argument. His messaging has failed to result in his preferred regulatory path. The fact that the only solution to the recent incident where an unreleased advanced OpenAI model hacked Hugging Face was an open-source model likely ended any chance of strict near-term regulation. Essentially every major company other than Anthropic has signed Jensen’s letter. However, Dario’s messaging has been massively helpful to efforts to ban datacenters here in America. I suspect we will see anti-datacenter advocacy groups runnings ads using clips of Dario warning about how dangerous AI could be for humans. His good faith efforts in favor of regulation are now increasing the odds that AI will not be beneficial for Americans and humans everywhere. I believe that there is a reasonable chance AI might help us cure most forms of disease such that we have extended lifespans and can enjoy these long lives in an abundant Star Trek like future. That is the future that I want and I think Dario is decreasing the odds of that future at this point. He is about to be the CEO of one of the most important public companies in the world and given that the pro-regulatory effort has failed (at least for now), I respectfully think he should make an effort to be a more positive advocate for his own industry. And if I am wrong and we do need to regulate this technology, he will be a more effective advocate for this in the future having been open-minded to the alternative. And for the sake of clarity and as I outlined on the pod, I think Anthropic has deep competitive advantages and is an amazing company. Ironically, the main risk I saw to Anthropic a few months ago was nationalization as a result of Dario’s own rhetoric and behavior.

Loudoun Supervisor Mike Turner calls for mandatory closed-loop water systems in all new data centers. Is this the solution to conservation? Watch to see why. #DataCenters# #Loudoun# #Sustainability# #WaterUsage#

There's a ton of good stuff in here, but to me this is the part that everyone mainstream is overlooking. It's literally the most important part. "It's ironic that today orbital datacenter compute is considered a niche...because the model suggests it will be a necessary condition for AI continuing to scale in the 2030s."

那 2027 年这些站点会建在哪里？ SemiAnalysis 表示，他们已经为 Datacenter Model 订阅用户评估了所有适合 SpaceX 的站点。 他们的 Energy Model 还按季度追踪 30 多家供应商可提供的天然气设备。 想在市场知道之前提前看到答案，可以去查看他们的模型。

It’s always funny how people in SF twitter bubble will say things like “Claude has unbeatable narrative momentum” and then 2 weeks later “wow did Kimi just end the race” My brother in Christ nobody outside of this little bubble even calls any AI anything other than “Chat” and they think datacenters destroy water molecules You sound dumb. Focus on things that actually impact people not the little scores on overfit evals And also people who bet against Elon are stupid. The man built real world self driving cars (non-LLM based AI) that is still the best AI I’ve ever used by far. You think he can’t come from behind and win on writing code? He’s literally catching 30 story buildings with chopsticks and that’s like one of his projects I like a lot of the tools and have friends at all the main labs. Truly amazing work being done. But the overblown commentators are actually so out of touch

ZERO Market Flash August 6, 2026 闪迪主动放弃短期利润最大化，换取穿越周期的门票——NBM 939亿美元最低合同价值，相当于约4.6个FY2026全年收入；超过50%的FY2027 bit产能，将被纳入四年以上的长期协议。 Sandisk交出了一份几乎无懈可击的成绩单。第四财季收入达到89.7亿美元，环比增长51%，同比增长73%；其中约三分之一来自销量增长，三分之二来自价格上涨。数据中心业务全年增长437%，调整后自由现金流达到50亿美元，Non-GAAP EPS为39.25美元。无论从需求、价格、利润还是现金流看，这都不是一份疲弱的财报。 但市场首先交易的并不是这些数据，而是增长速度的变化。SNDK在财报前一日收跌5.4%，财报公布后，今天盘前跌幅进一步扩大至约9.8%。Q1 FY2027收入指引中值为105.5亿美元，仍较Q4增长约17.6%；Non-GAAP EPS指引中值约45美元，也继续环比增长。市场担忧的不是收入或利润下降，而是环比增速从约51%降至约18%，以及毛利率指引83%至85%没有继续明显高于刚公布的84.6%。 因此，截至盘前，投资者仍主要在交易“季度减速”，而不是重新定价NBM的长期价值。开盘后的走势尚未发生，现在还不能判断市场是否会迅速转向长期逻辑。真正需要观察的是，投资者会不会从“下一季度还能增长多快”，逐步转向“NBM能否降低Sandisk未来盈利的周期波动”。 NBM已经不再只是一个抽象概念。按价格下限计算，已签署协议的最低合同价值达到至少939亿美元，相当于Sandisk FY2026全年收入约202.5亿美元的4.6倍。客户还提供了165亿美元现金及金融工具担保，相当于合同最低价值的约17.6%。目前公司与8家战略客户签署了10份NBM协议，加权平均期限超过四年；预计到FY2027，超过50%的bit产能将被纳入NBM，到FY2028这一比例可能进一步升至约三分之二。 这套模式并不是简单地“锁量锁价”。更准确地说，它通过长期采购承诺、价格底线和财务担保，先建立一个稳定的收入与利润底盘，同时保留价格继续上涨时的上行空间。管理层预计NBM毛利率约为80%，而且如果市场价格继续改善，实际利润率仍有进一步提升的可能。 这正是闪迪主动放弃短期利润最大化的含义。公司并没有牺牲利润本身，而是放弃在景气高点把每一单位产能都卖到最高现货价格的冲动，换取四年以上需求可见性、939亿美元最低合同价值、165亿美元履约保障，以及更稳定、更可预测的自由现金流。 传统NAND行业最难摆脱的是Boom-Bust循环：高价刺激扩产，供应增加后价格崩塌，企业被迫减产，随后市场再次进入短缺。NBM不能消灭整个行业周期，但它可能显著降低Sandisk自身对周期的暴露程度。换句话说，Sandisk试图建立的不是一个没有周期的行业，而是一家公司能够穿越周期的商业模式。 ZERO Insight 市场目前仍在交易短期减速：昨日收跌5.4%，今天盘前跌幅扩大至约9.8%。但NBM真正锁定的，不只是订单，而是未来四年以上的经营底盘。 939亿美元不是增长上限，而是合同下限；约80%也不是利润天花板，而是公司试图建立的周期底部。 今天市场卖出的，是增长率。未来市场是否重新定价的，可能是Sandisk能否把NAND的周期性风险，转化为长期确定性。 Search Tags: #SNDK# #Sandisk# #NBM# #NAND# #AIStorage# #Datacenter# #Memory# #Earnings# #FreeCashFlow# #ZEROAlpha#

SpaceX is partnering with @Nvidia to design the Starmind AI1 satellite compute payload. Each of the Starmind satellites will include NVIDIA Rubin GPUs and Vera CPUs for datacenter class space compute →

SpaceX is hiring exceptional engineering & skilled trades talent to build & operate the most powerful AI supercomputer clusters on & off Earth. If interested, please email 3 bullet points demonstrating evidence of exceptional ability & your resume to datacenters@spacex.com.