Intel’s Modular Vision, Meta MTIA 2, Google Axion

Intel is pushing for a world with a modular AI stack that runs at the edge, for obvious reasons. Then, both Meta and Google have new chips of their own.

Gemini 1.5 and Google’s Nature

Google Cloud Next 2024 was Google’s most impressive assertion yet that it has the AI scale advantage and is determined to use it.

Nvidia Waves and Moats

Nvidia’s GTC was an absolute spectacle; it was also a different kind of keynote than before ChatGPT, which is related to Nvidia’s need to dig a new kind of software moat.

Google Gemini; Performance, Infrastructure, and Integration; Apple MLX

Google’s Gemini launched with a demo that misrepresented its capabilities, which seems like a bizarre decision given that Gemini seems capable enough on its own, and also demonstrates Google’s ability to integrate from silicon to model.

AWS:reInvent, Serverless and the Smiling Curve, AI Services

The opening keynote at AWS:reInvent was about serverless, which is a technical manifestation of how the Internet leads to smiling curves. Plus, AWS’s CEO comments on OpenAI.

The OpenAI Keynote

OpenAI’s developer keynote was exciting, both because AI was exciting, and because OpenAI has the potential to be a meaningful consumer tech company.

Adobe Max, Figma and Firefly, The Icon of Transparency

Adobe Max was all about AI, with no mention of Figma. Adobe would still like the latter, but it is much better positioned to do without it thanks to its integration of Firefly. Plus, why marking content will matter for humans than AI.

AI, Hardware, and Virtual Reality

Defining virtual reality as being about hardware is to miss the point: virtual reality is AI, and hardware is an (essential) means to an end.