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.
-
Apple Intelligence is Right On Time
Apple is expected to announce a range of AI features at WWDC; the company is well placed to benefit from AI: they are not too late, but right on time.
-
Interviews with Microsoft CEO Satya Nadella and CTO Kevin Scott About the AI Platform Shift
Interviews with Microsoft CEO Satya Nadella and CTO Kevin Scott about Microsoft’s approach to building AI
-
OpenAI’s Spring Event, GPT-4o, OpenAI and Apple
OpenAI launched GPT-4o, and the killer feature is speed. Then, news of an OpenAI partnership with Apple raise questions about the strategic priorities of both companies, as well as Google.
-
Elon Musk vs. OpenAI, OpenAI’s Response, OpenAI’s Foundational Problem
Elon Musk is suing OpenAI; he probably won’t win, because there wasn’t a contract to be breached, but the lawsuit does highlight how far OpenAI is from the non-profit it started as.
-
Groq Costs, Gemini Pro 1.5, Google’s Timidity
Groq is expensive and might not scale; that’s not a problem for Google, and Gemini Pro 1.5 shows what is possible with their infrastructure. The company’s manipulation of Gemini, though, shows the company’s timidity.
-
Google Earnings, Microsoft Earnings
Google’s earnings were inscrutable, which doesn’t inspire confidence; then Microsoft’s earnings looked incredible, but it’s important to trace where the AI growth is coming from.





