Generative AI is the bridge to the next computing paradigm of wearables, just like the Internet bridged the gap from PCs to smartphones.
An Interview with Byrne Hobart About Bubbles and Escaping Stagnation
An interview with The Diff’s Byrne Hobart about his new book, Boom: Bubbles and the End of Stagnation
A Chance to Build
Silicon Valley has always been deeply integrated with Asia; Trump’s attempt to change trade could hurt Silicon Valley more than expected, and also present opportunities to build something new.
An Interview with Understanding AI Author Timothy B. Lee
An interview with Timothy Lee about Understanding AI, including the current state of AI, the limitations of LLMs, and who is going to win in self-driving cars.
An Interview with Synopsys CEO Sassine Ghazi About Designing Chips
An interview with Synopsys CEO Sassine Ghazi about the history of chip design, how AI makes new processes possible, and why the future is systems.
An Interview with Salesforce CEO Marc Benioff about AI Abundance
An interview with Salesforce Founder and CEO Marc Benioff about founding Salesforce, building an enterprise platform, and why that puts Salesforce in the best position to build AI agents.
An Interview with Hugo Barra About Orion and Meta’s AR Strategy
An interview with Hugo Barra about Meta’s XR strategy, including where augmented reality fits in the history of computing, what AR apps will look like, and the evolution of hardware, including Orion.
Intel and AMD to Collaborate on x86, A History of Intel and AMD, ARM and AI
Intel and AMD are coming together to evolve x86; this is a shock given their history, but not a surprise given their reality.
Enterprise Philosophy and The First Wave of AI
The first wave of successful AI implementations will probably look more like the first wave of computing, which was dominated by large-scale enterprise installations that eliminated jobs. Consumer will come later.
OpenAI’s New Model, How o1 Works, Scaling Inference
OpenAI’s has a new model called o1; it’s a new approach that solves some of the key limitations of current LLMs — and it solves crossword puzzles.