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.
-
Metallica on Vision Pro, Non-Immersive Immersive Video, Ping and AI
Metallica on the Vision Pro was cool, but ultimately disappointing, and symbolic of Apple’s need to control everything.
-
OpenAI API Updates, Steelmanning the API Business, The Problem With Both
OpenAI has compelling new updates to their API that should be good for the API business; is that good for OpenAI?
-
A Google I/O Idea, The Smartphone AI Value Chain, Apple’s Developer Hang-Ups
More on Apple and AI, this time through the lens of Google’s point of integration and where Apple should be in response. Plus, why Apple is so hostile to developers.
-
Apple AI’s Platform Pivot Potential
Apple AI is delayed, and Apple may be trying to do too much; what the company ought to do is empower developers to make AI applications.
-
Alexa+, A Brief History of Alexa, Amazon — and Apple’s — Mistake
Alexa+ looks amazing, and that’s exactly my problem with it: Amazon is trying to do too much, must like Apple did with new Siri
-
An Interview with Benedict Evans About AI Unknowns
An interview with Benedict Evans about AI lessons over the last year, and the many unresolved issues that will impact industry structure going forward.
-
More Chip Curbs?, Google LLM Status Check
Ending the chip ban might be a mistake; I just hope people pushing for more realize that could be wrong as well. Then, Google’s current position with LLMs, and the importance of GCP.
-
AI Promise and Chip Precariousness
The AI industry is more exciting than ever, but the chip situation is very precarious and requires drastic action.
-
Grok 3, The Nvidia Shortcut, Competitive Implications
Grok 3 appears to be state of the art; that speaks to the power of Nvidia, and actually increases the pressure to spend more.





