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Too many models
How many AI models is too many? It depends on how you look at it... but 10 a week is probably a bit much. That's how many we had in the last few days, or
There’s been a deliberate confusion of these two things, because the developers of models want to borrow a little of the fanfare we tend to associate with major AI platform releases like your GPT-4V or Gemini Ultra. There were papers, models, and research constantly coming out, and conferences like SIGGRAPH and NeurIPS were filled with machine learning engineers comparing notes and building on one another’s work. The simple truth is that none of these models is going to be that kind of big step, since OpenAI’s advance was built on a fundamental change to machine learning architecture that every other company has now adopted, and which has not been superseded.
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