The podcast explores the significance of AI in the tech industry and its impact on various sectors. It discusses the potential of VR, Web3, and crypto, as well as the hype surrounding general machine learning. The European Union's swift action on AI regulation is highlighted, along with the need for a mental model to comprehend advancements in AI. The current state of AI strategy and usage is examined, noting the lack of a clear strategy and the early stage of the platform shift. The importance of asking the right questions across industries is emphasized.

The podcast discusses the rise of LLMs and how they may read all links for us. It explores the evolution of publishing platforms, the transition from exchanging links to liking and reposting on social media, and the rise of recommendation algorithms. The speakers also talk about the challenges of storing useful links and the concept of open source distribution systems.

The podcast explores the concept of unbundling AI and discusses the limitations of older voice assistants. They also delve into the idea of asking the wrong questions in relation to AI and discuss the benefits of providing guidance and structure for users. The hosts also explore the limitations of direct control in working with AI systems and discuss the usage and usefulness of chat GPT. They highlight contrasting examples of computer use in specific tasks and discuss the idea of unbundling AI to create vertical-specific products.

In this podcast, Leonard Brody discusses building brands and consumer products in a world of infinite choice and media, and how celebrity plays a role. They explore the integration of Caravan and CIA, the rise of celebrity-led brands, and the potential of blockchain for fan engagement. Additionally, they explore the future of consumer loyalty and how brands can effectively engage their audience through tools like generative AI and gamification.

The podcast explores the usefulness of ChatGPT and its potential for unbundling. They discuss integrating ChatGPT into workflows, creativity and AI-generated templates, the unpredictability of AGI, bundling and unbundling in software, and the evolution of ChatGPT and visual applications.

What is Threads? A Twitter that doesn't suck? Something else? Could it work? 

Two weeks after Apple showed us the Vision Pro - what have they built, what is it for, what does it mean for Meta, and why does it cost $3,500? Check back in 2025.Apple's product pages (watch some of this if you haven't already). 

Apple does VR. We watched. We took pictures. We talk about it. 

We don't know what generative AI will be (or what will happen next week), but we're starting to work out what questions to ask

Buzzfeed News dies just as Reddit and Stack Overflow say they'll charge LLMs to train on their data. Who owns content and how does distribution work in an LLM age? Are those the right questions? What should we be asking?