AI

“We realized rasterization was reaching its limits,” he said, referring to the traditional, widely used method of rendering a 3D scene. “2018 was a ‘bet the company’ moment. It required that we reinvent the hardware, the software, the algorithms. And while we were reinventing CG with AI, we were reinventing the GPU for AI.”

But the pleasant surprise: It has been enormously helpful in my attempts to resurrect and improve my rusty engineering knowledge, and level up my middle-aged forays into maker-ing things. The killer app for me is the ability to go deep in a domain for remedial learning. The most immediately helpful use-cases for me have been:

1. Getting back into

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AuthorityHacker surveyed 1,200 music consumers and got some striking results: 93% said they did not value AI-generated music as highly as music produced by humans. And, while over 60% said they would consider listening to AI music, some 56% also said they would not willingly pay for songs generated using AI. Perhaps most striking: 89% of those... See more

A problem in any discussion of “AI” is that the uses are so varied that it is never clear what anyone is talking about. Using AI to spellcheck is different than using it to generate the entire work, with a whole range in-between. At what point does it go from a tool that assists an artist to the thing producing the art? There will not be a clean... See more

Observing these patterns of influence gives clues about how our models generalize from their training data. For instance, if the models responded to user prompts by splicing together sequences from the training set, then we’d expect the influential sequences for a given model response to include expressions of near-identical thoughts. Conversely,... See more