Max and Sofia unpack Turbo AI’s sprint to 5M users, Google’s potential multi‑tens‑of‑billions cloud deal with Anthropic, and OpenAI’s prompt injection warnings for its Atlas browser. They dive into the data‑center energy crunch fueling aero‑derivative jet‑engine generators, a quick‑fire on national‑scale telecom reliability with Ibikunle Peters, and Mohammad Adnan’s pragmatic AI strategy from cold‑start fixes to mentorship. The duo cover a “brain rot” study showing low‑quality data degrades LLMs, break down multiple linear regression in plain English, and explore OpenInfra’s stack for Confidential Computing with Kata Containers. Plus: nine Indian AI startups to watch, Microsoft CEO pay in an AI‑charged market, the AI bubble debate, Apple’s M5 chip as an on‑device AI booster, and a WearOS quality‑of‑life upgrade. Three takeaways close the show: build augmentation first, prioritize reliability and security, and obsess over data quality.

Sources:

• Top 9 Emerging Indian AI Startups to Watch in 2026
• MacBook Pro review: Apple’s most awkward laptop is the first to show off Apple M5
• Google in talks with Anthropic for a cloud deal worth tens of billions
• AI bubble inflates Microsoft CEO pay to $96.5M
• Quick Fire 🔥 with Ibikunle Peters
• 20-year-old dropouts built AI notetaker Turbo AI to 5 million users
• ChatGPT Atlas carries significant security risks, OpenAI warns
• Multiple Linear Regression Explained Simply (Part 1)
• Strategic AI: an architect’s approach to optimizing industries
• OpenInfra Foundation: Die zu vorsichtige VMware-Alternative
• Once the AI bubble pops, we’ll all suffer. Could that be better than letting it grow unabated?
• AI Models Get Brain Rot, Too
• Cubrir la demanda energética de la IA está llevando a medidas desesperadas. Como reutilizar viejas turbinas de avión
• The WearOS update that finally makes Android users proud - and how to install it