AI & Machine Learning
-
More on Bing, particularly the Sydney personality undergirding it: interacting with Sydney has made me completely rethink what conversational AI is important for.
-
The first obvious casualty of large language models is homework: the real training for everyone, though, and the best way to leverage AI, will be in verifying and editing information.
-
An Interview with Microsoft CEO Satya Nadella About Finding Core Competencies
An interview with Microsoft CEO Satya Nadella about figuring out Microsoft’s role in AI, the relationship with OpenAI, Capex, Software, and a potential new agentic platform.
-
The Google Capital Company
Google has issued equity to Berkshire Hathaway in a deal that signals far more demand and a future where capital is the ultimate commodity.
-
Nvidia Earnings, The AI Stack, Nvidia’s New Reporting
Nvidia is changing its reporting to delineate between hyperscaler sales — where Nvidia is fighting commoditization — and everyone else, where Nvidia runs the whole stack.
-
The Deployment Company, Back to the 70s, Apple and Intel
OpenAI is forming a new company to deploy AI, and the other labs aren’t far behind, reinforcing the thesis that AI’s impact will require top-down implementation. Then, Apple has economic reasons to work with Intel.
-
Microsoft Earnings, Apple Earnings
Microsoft unveils its new agentic business model, and Apple confronts shortages in memory and chips even as the Mac benefits from AI.
-
An Interview with OpenAI CEO Sam Altman and AWS CEO Matt Garman About Bedrock Managed Agents
An interview with OpenAI CEO Sam Altman and AWS CEO Matt Garman about their new partnership, plus my thoughts on OpenAI and Microsoft’s new deal.
-
OpenAI’s Memos, Frontier, Amazon and Anthropic
Breaking down OpenAI’s internal memo about taking on Anthropic in the enterprise.





