That's because the expectations that people had for AI in Q1-Q2 2023 were entirely unmoored from reality. Investor expectations especially. It will take many years for AI-driven revenue to recoup the investment poured into AI in 2022-2023. Right now they differ by 10-20x.
@fchollet
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AI adoption is a multi-decade trend despite current bubble deflation
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The adoption of AI is a multi-decade trend that is only just getting started. The scope of AI use cases, the amount of revenue generated by AI apps will increase maybe ~10x in the next 5-10 years. And yet, AI is a bubble — which is now starting to slightly deflate.
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AI Invention Example: Novel Artifact Discovery via Genetic Search
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Here's a well known example of an "AI" invention (i.e. a novel artifact / discovery found via a search process, genetic search in this case).
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Deep Learning Models Require Search Processes for Real Novelty
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Mind you, deep learning models are not search processes. They're interpolative — they're big differentiable parametric curves trained with SGD. You need to combine them with a discrete search process (over the right space) to get real novelty.
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AI Search Processes Generate Novel Discoveries Beyond Human Knowledge
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The fact that a search process over a large enough space could come up with novel (to humans) discoveries wouldn't be contested by anyone familiar with AI, I'd think — the proof of concept came from genetic algorithms in the 1970s. AlphaGo move 37 also comes to mind.
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Obsessing Over Imaginary X-risks Like Worrying About Aliens
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Imagine being obsessed with imaginary x-risks in this context. It's like worrying about alien invasions in 1960.
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UX Design Best Practices for Software Libraries
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UX design for software libraries is hard, but there are best practices you can follow. E.g. https://
github.com/keras-team/gov
ernance/blob/master/keras_api_design_guidelines.md
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Painfully Accurate Observation Shared by François Chollet
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Painfully accurate https://
x.com/_sn_n/status/1
/_sn_n/status/1657419704615485446
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New KerasCV Image Classification Guide with State-of-the-Art Augmentation
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We have a new image classification guide for KerasCV — check it out! Featuring state-of-the-art image augmentation layers. https://
keras.io/guides/keras_c
v/classification_with_keras_cv/
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