Sharp Tech with Ben Thompson

They trace AWS’s cloud origins and explain how Amazon’s cost-driven playbook is reemerging in AI. They debate why Amazon’s Trainium chips may finally make sense for model training. They unpack the recent OpenAI–Microsoft alignment and why OpenAI might still want AWS. They also speculate on Meta’s Display glasses, legal battles around wearables, and where AR/VR goes next.

A rapid-fire run through six big AI questions, from consumer demand and compute limits to divergent AGI strategies at Anthropic and OpenAI. A debate on whether compute-hungry agents will win and how enterprises versus consumers will pay. A dive into Amazon’s Globalstar move, Apple’s potential role, and the race for LEO satellite advantage.

They dig into Anthropic’s Mythos reveal and Project Glasswing, focusing on security risks and model privacy. They debate why code makes large models uniquely dangerous and whether distillation can be stopped. They discuss Anthropic’s scaling, business incentives, and ties with big tech and government. The conversation ends with media adaptation, Sam Altman’s trajectory, and implications of de-globalization.

A lively Q&A on Apple's 50 years, exploring Jobs's leadership, iTunes on Windows, and whether Chinese manufacturing made Apple what it is. A deep dive into Apple's AI bets and short-term security risks from AI. Discussion of the Axios supply chain hack, Starlink vs Amazon Leo, AI IPO questions, and fresh competition in wireless earbuds.

A spring break mailbag tackles Sora’s shutdown and why its social features struggled. They compare compute-heavy AI apps to Instagram’s low-cost growth and debate ad vs enterprise monetization. Conversation ranges from Formula 1’s new direction to NFL expansion and how NBC fixed Olympic tape delay. Quick takes include Vision Pro, kids and smartphones, Elon’s xAI antics, and a Taipei routine.

They discuss OpenAI shifting focus toward enterprise and why prioritizing enterprise-ready products matters. They use Dropbox history and practical stories to illustrate tradeoffs between consumer virality and enterprise requirements. They debate agents and integration as durable differentiation. They also cover Nvidia’s new inference messaging and hardware partnerships.

A lively look at who the MacBook Neo is actually for, weighing portability, ports, memory and pricing. A deep dive into local versus cloud AI models and why integration strategies matter. Thoughts on Vision Pro use after six weeks and a debate about whether traditional coding languages are nearing their end.

A heated breakdown of the Anthropic-Pentagon controversy and a leaked memo stirring public debate. A dive into legal and political risks as powerful AI clashes with government authority. Quick takes on Netflix after Paramount’s win, the chaos of modern dating apps, chatter about chatbot feeds and ads, and a look at the business side of F1.

They dig into why a global memory chip shortage happened and who it will hurt next. They explain why memory fabs look like logic fabs and why price cycles crush margins. They use an international shipping analogy to show marginal-cost dynamics. They also touch on a thin future for AI, which computing stays on device, Apple’s strategy, and how Shopify might fare as AI reshapes digital brands.

They break down Spotify’s monster user surge and whether it has already won streaming. They trace music’s shift from piracy to subscription bundles and explain how label concentration made that possible. They dig into personalization as Spotify’s real moat and how AI-generated music changes supply dynamics. They close with debates about tech capex, Amazon’s AI bets, and reactions to viral takes on AI and regulation.