🎙️ NEW EPISODE: Intel's Earnings Disaster: Bad Luck, Bad Planning, or Both? Intel had a strong quarter. Its outlook told a different story. @vikramskr and @austinsemis unpack Intel’s Q3 2026 results and the gap between demand for its chips and its ability to deliver them. They cover the AI memory squeeze hitting PCs, the substrate and chiplet bottlenecks limiting server CPUs, and the fallout from the Fab 28 accident. Then they debate what Intel could have done differently and whether its long-term foundry story still holds. Presented by @CrusoeAI: Fine-tune and serve open models without managing a single GPU. When we sat down with Crusoe’s product team, Austin asked: what will you do with my data? Their answer: They don’t touch or see it. Your training data is encrypted so even Crusoe’s own admins can’t see it, and the fine-tuned model is yours. Deploy on Crusoe in one click, or download and run it anywhere. Upload a dataset, pick an open model, and pay per token rather than per GPU hour. Run a few versions, compare them, and download the one that works best. Accounts are free, and get $5 in credit when you sign up. Try Serverless Fine-Tuning: This episode is supported by @meter. You have the GPUs and the power. Now who builds the network, and who do you call when it breaks? Meter designs, deploys, and runs frontend, storage, and management networks on its own switches and its own network OS. One call reaches the team that designed the hardware and wrote the software. Chapters: 0:00 Intel's 35% Stock Drop 1:22 The Pre-Earnings Bull Case 4:03 Reason 1: Weak PC Market 12:25 The Flawed Q2 Pivot Plan 17:17 The IDM Model's Failure 20:23 Reason 2: Substrate Bottleneck 23:18 Chiplet Design's Fragility 25:18 Reason 3: The Fab 28 Explosion 40:46 The GPU Intelligence Gap 45:51 The Foundry Thesis Question 50:22 Packaging as a Hope Story 51:19 Four Lessons from the Meltdown Get more of Austin and Vik daily, free! Sign up: Connect with Vik and Austin: Vik's Paid Substack: Austin's Paid Substack: @austinsemis @vikramskr