Ben and Andrew discuss a monster earnings report for Meta, the mechanics of how they got there, and the newfound trust the company enjoys from investors. Then: Reactions to GPT-5 and subsequent updates from OpenAI, the strategic logic of the changes, questions about OpenAI leadership, the AGI race, and prompts to engineer the right LLM tone. At the end: A question on bubbles and the implications of our current circumstances, Apple's interests vs. America's interests, Blackberry's thin client comeback, a few fun Bell Labs facts, and Google as slime mold.
All content for Sharp Tech with Ben Thompson is the property of Andrew Sharp and Ben Thompson and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Ben and Andrew discuss a monster earnings report for Meta, the mechanics of how they got there, and the newfound trust the company enjoys from investors. Then: Reactions to GPT-5 and subsequent updates from OpenAI, the strategic logic of the changes, questions about OpenAI leadership, the AGI race, and prompts to engineer the right LLM tone. At the end: A question on bubbles and the implications of our current circumstances, Apple's interests vs. America's interests, Blackberry's thin client comeback, a few fun Bell Labs facts, and Google as slime mold.
Talking through the implications of memory capabilities for ChatGPT, the future of AI companionship, OpenAI's platform ambitions, and why Google Circles never found a market. At the end: College football, tech, and a bit of Bell Labs history.
Tracing the history of Facebook to understand the challenges for the government in this month's FTC v. Meta trial, and thoughts on the nature of competition on the Internet and its impact on the economy at large.
Andrew and Ben discuss another weekend of pivots, updates and clarifications to the Trump trade policies, the big picture shifts and fundamental questions underlying these policies, a question about Spotify, and Stevie's platform rant inspires an emailer's request for a tech blog post canon.
Ben and Andrew return to discuss Liberation Day whiplash, Apple’s history in China and tech’s history in Asia, and the various challenges inherent to the efforts to rejuvenate America’s industrial capacity. At the end: Ben recaps a visit to a Formula 1 race in Japan.
Thoughts on both X and xAI in the wake of Friday’s announcement from Elon Musk, Chat GPT’s image capabilities and whether AI-adjacent SaaS companies will ever have a moat, and emailers offer counterpoints on Sam Altman’s ads answer and the notion that Google can’t make great products anymore. At the end: Should Substack serve ads?, answers on Israeli cybersecurity, and more on Steve Jobs and Studio Ghibli.
Reactions to OpenAI's "Images in GPT," and thoughts on the Trump administration's Signal debacle, including a few points Ben neglected to emphasize earlier this week.
A look at the logic of Google's plans to purchase an Israeli cybersecurity firm for $32 billion, more tension between Apple, Google and the EU, and an email about Xbox One and Microsoft's checkered history of consumer tech ambitions. At the end: Moana 2 and what led to the decision to abandon windowing, Bryan Johnson's pursuit of immortality, and a few follow-ups on Daylight Saving Time.
After Ben's interview with OpenAI CEO Sam Altman, Andrew and Ben hold an impromptu symposium on AI and its implications, featuring questions from listeners. Topics include: The long-term UX for Deep Research, OpenAI's allergy to an ads-based business model, a confession from Ben after an Exponent take years ago, how AI might--or might not--change the White Collar economy, an era of startups capitalizing on AI-enabled cost structures, AI for companionship and adult content, and whether generative AI will slowly erode human cognition. At the end: A few follow-ups on Vision Pro, including proof of concept at a bluegrass concert.
Answering all your emails in the wake of Apple's intelligence catastrophe. Topics include: whether Perplexity should be an acquisition target, the limits of local AI, the value of long tail product development, Apple's parallels to IBM, the future of Tim Cook, and a report from Ben on his latest experience with the Vision Pro.
Revisiting Apple's nadir in the 1990s, along with internal friction that boiled over after Steve Jobs' passing, and explaining why Apple execs should—but probably won't—respond to the Apple Intelligence embarrassment by empowering third-party developers to build great AI products that run locally on the iPhone.
A question about the future of the NBA as the league sees record revenues and declining ratings, several emails about Apple's continued adventures in AI, and follow-ups to last week's episode on Formula 1, Amazon, chatbots as the AI UI, and tech that removes friction.
Surveying the streaming landscape in 2025, including YouTube’s opportunity to solve problems for millions of frustrated entertainment consumers, Peacock’s murky future, HBO and the Max mess, and lots more.
Andrew and Ben react to Amazon's announcement for an AI-powered Alexa that has been "100 percent re-architected," and then answer mailbag questions about OpenAI's long-term future, LLM confidence, LLMs and the future of the English language, how a hardware business like Manna should approach aggregators, and the social costs of tech that optimizes for efficiency and eliminates friction. At the end: A word about the most exciting app of 2025.
A discussion of Ben's Stratechery article AI Promises and Chip Precariousness, including basic geography and evolving geopolitical considerations informing today's Taiwan tensions, the recent history of US policy surrounding chips, considerations for US policies going forward, and various concerns with lifting the chip ban and implementing stricter controls on chipmaking equipment.
The history underlying Apple’s decision to pull its Advanced Data Protection feature from the UK market, criticisms of the UK, Apple and a few of Apple’s loudest critics, and thoughts on the future of drone delivery after Ben’s interview with Manna CEO Bobby Healy. At the end: font guidance and memecoins.
On today’s special crossover Sharp Tech/Sharp China episode, Ben Thompson and Bill Bishop discuss the private enterprise symposium and Xi Jinping's rapprochement with China's tech companies, and the connection between xAI and DeepSeek. Then, an extended debate on the chip ban, including its potential long-term consequences, and whether or not a course correction is possible. Finally, why the situation surround Taiwan is worrisome, and whether Trump is looking to make a deal.
Reactions to OpenAI's release of Deep Research, including the Deep Research contributions to Ben's Update on Tuesday, lessons from several other Deep Research experiments, and questions about the future of work, information flow, and a world in which days of work can be done in minutes.
Answering mailbag questions on a report that Apple has abandoned its plans for smart glasses, Google, OpenAI and advertising, why LLMs struggle with sports statistics, whether generative AI will become more acceptable in media, and a few thoughts on manufacturing, tariffs, and the de minimis exception.
Andrew and Ben reconvene to answer your emails on DeepSeek and its implications. Topics include: DeepSeek as the Oakland A’s and Big Tech as the Red Sox, questions about distillation, video game history and coding to the metal, waiting for Silicon Valley products in AI, the future of compute demand and power consumption, and a variety of follow-up thoughts to Monday’s export control discussion.
Unpacking several days of dizzying reactions to DeepSeek, including a closer look at the costs of model development, why the heightened scrutiny looks like a coping mechanism, DeepSeek’s efficiency breakthroughs, the implications for big tech, and the future of export controls on semiconductors.
Ben and Andrew discuss a monster earnings report for Meta, the mechanics of how they got there, and the newfound trust the company enjoys from investors. Then: Reactions to GPT-5 and subsequent updates from OpenAI, the strategic logic of the changes, questions about OpenAI leadership, the AGI race, and prompts to engineer the right LLM tone. At the end: A question on bubbles and the implications of our current circumstances, Apple's interests vs. America's interests, Blackberry's thin client comeback, a few fun Bell Labs facts, and Google as slime mold.
