#大佬观点

Tesla’s Optimus training regime leak. Workers in its Palo Alto R&D facility have been holding “robot university” for many months already. Press got it wrong when they said it just started up. Workers are wearing 24 lb suits with up to 40 cameras and grids of 3D sensors. To capture very detailed video and 3D fields of whatever the worker does. There are multiple configurations. They are given different tasks to do. They don’t know where the tasks come from. Multiple squads are working on three shifts 24 hours a day. Similar efforts were seen at the Texas factory. The data collection effort is immense. A Tesla car only has nine cameras. This leads to a data flywheel that is orders of magnitude more data than the car captured. Separate teams are capturing home data, like making a sandwich, while other teams capture jobs on factory floor, like installing HVAC systems in cars. Elon isn’t playing around. I can’t tell you how I learned this.

Mark Cuban scaled Cost Plus Drugs from about 100 generics to roughly 4,000 at a flat 15% markup, forcing incumbents to change prices in ways decades of policy never did. He thinks AI could transform healthcare, but it won't fix opaque prices and broken incentives on its own. Mark sits down with a16z's Julie Yoo and Erik Torenberg to discuss what he's learned building Cost Plus Drugs, why trust is its core product, and how greater transparency could put pressure on healthcare costs. They also explore why drugs designed for your DNA could cost close to nothing, the football field-sized drug plant his team shrank into tractor trailer-sized pods, his plan to make generics in Dallas for less than he pays manufacturers in India, and why every company will either be great at AI or go out of business. 0:50 Cost Plus beat decades of policy 3:15 111 generics to 4,000 drugs 5:00 A drug plant shrunk to 5K sq ft 5:55 $20M drug factories in a trailer 8:10 Hospital deals with zero denials 9:50 Why health plans are rigged 14:05 1,335 pages no human can check 18:35 "Where are they f**king me over?" 22:45 Making drugs cheaper than India 26:50 Why you still need entry-level hires 31:45 Nonprofit hospitals must offer aid 35:55 DNA-matched drugs for near $0 39:30 Why AI will mean more doctors 48:00 Mark's plan: "bye bye insurers" 52:25 Why AI labs' ads are useless 56:35 Get good at AI or go out of business YouTube: https://youtu.be/5UWDUD6qaM4 @mcuban @julesyoo @eriktorenberg

Bloomberg: "A new anxiety is gripping Wall Street as it bankrolls the vast network of data centers and chips behind the artificial intelligence boom: Early signs suggest that the credit market is approaching the limits of how much more debt it can absorb. One after another, yields are soaring into the double digits on bonds and loans funding the AI infrastructure buildout. Bankers are finding it more difficult to offload risk to insurers and other investors." #economy #markets #debt #ai #ArtificialIntelligence #bonds

This is my conversation with Michael Kagan, the founder of Mellanox and current CTO of NVIDIA We speak about his life, the progression of networking over the span of his career, and how the work that NVIDIA is now doing to build "Planet scale" computing I hope you enjoy the conversation as much as I did 00:00 Highlights 01:16 Growing Up in Russia and Moving to Israel 03:42 Intel, the PC Revolution, and a Passion for Technology 06:14 Sponsor: Liquid 06:33 Lessons from Intel: Software and Networking 10:10 Founding Mellanox and the Vision for Cloud Computing 14:34 From Supercomputers to the Cloud 17:46 How GPUs Sparked the AI Revolution 20:52 Sponsor: Compute Exchange 21:14 NVLink and the Rise of Rack-Scale Computing 24:57 The Engineering Challenges Behind NVL72 27:39 Designing Hardware for Future AI Workloads 29:43 BlueField DPUs and the AI Factory 32:55 Making AI Agents Safer 35:37 What Mellanox Could Have Done Differently 37:03 NVLink, InfiniBand, and Spectrum-X 39:24 Connecting AI Factories at Planetary Scale 42:42 Keeping Massive AI Systems Running Through Failures

A lot of ink has been spilled on GPU financing lately. I spent over a decade trading ABS on Wall St, and structured over $2B+ of debt financings as an operator (including at @tryramp). Figured I'd try to make sense of this market, so I went back to a framework I knew well: aircraft ABS and aircraft engine ABS. My take: a GPU neocloud runs on airline economics, and the debt behind it looks a lot like aircraft engine ABS. The parallels: • Perishable inventory. An empty seat after the door closes is gone forever. So is an idle hour on an energized H100 rack. • 85%+ of cost is fixed (servers, 10-year rack leases, 10-14% debt service). One more hour of compute costs pennies of power. • Utilization is everything. Airlines break even around 80% load factor, a levered GPU cluster around 65-75%. The returns live in those last 25 percentage points. • NVIDIA is Boeing and Airbus rolled into one. Powered shells and grid interconnects are the new airport slots. • Wall St copied the aircraft financing playbook: take-or-pay contract plus servers in a bankruptcy-remote SPV, 70-80% LTV. Part 1 of my blog post goes into a lot more detail: http://alexyangsong.com/blog/aluminum-to-silicon/

SK HYNIX: EXPECTS DEMAND TO OUTPACE SUPPLY THROUGH 2030

https://x.com/i/article/2115078093488709632

NEW Ramp data: Opus 5.5 has somewhat reaccelerated demand for Anthropic, but it might not be enough. Spend on Anthropic models remains 1.6% below its July peak, according to Ramp data. Opus 5.5 now accounts for 63% of Anthropic spend, so frontier models do matter. The idea that AI is already "good enough" is probably overrated as a concern IMO. But price cuts / competition at all intelligence levels are still the most significant threats to AI model companies, and continue to form cracks in the AI thesis.

BlueChip. Built in America. America made the first electronic computer to win a war. Now we depend on our greatest adversaries to build the computers that run our economy and defend our nation. Today, we bring it home.

The next era of technology is being built through collaboration and sharing bold ideas. AMD Chair and CEO Dr. @LisaSu will join industry leaders at @TomorrowXSummit on November 17–18 at the Moody Center in Austin, Texas.

Micron's Roadmap, Meta's AI Infrastructure, and NVIDIA's Supply Chain Mastery With @benbajarin and @jaygoldberg (00:00) Micron's Technology Roadmap & HBM Innovation (03:12) Skipping 4F Squared: A Subtle Dig at CXMT (12:18) Lam Research Earnings: WFE Approaching $200B (17:30) Meta's AI Infrastructure & The Economics of Models (23:28) Open-Weight Models & The Big Tech AI Race (29:26) The Gigawatt Cost of Personal AI Agents (34:30) NVIDIA Locking Down the AI Supply Chain (39:45) Debunking the Amazon GPU Staging Panic (43:33) Data Center Construction Delays vs. Demand Issues (51:00) AI Security Threats & The Blank Check for Cyber Defense (57:07) The Transformational Yet Dangerous Reality of AI