"What will {AI | computers} be able to do in the future?" Well, absolutely anything you can make them do. They're a medium, not a specific technique. And the capabilities of both are 100% dependent on the human engineers that make them do those things.
@fchollet
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AI is too vague a term like computers
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Talking about "AI" in the abstract is a bit like talking about "computers" — it could mean anything.
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Elf-Attention Models and the ORC Challenge
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Can models based on the Elf-Attention mechanism tackle the ORC challenge?
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Keras package rollout plan for KerasTuner, KerasCV, and KerasNLP
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Will roll this out to KerasTuner/KerasCV/KerasNLP in the near future. And eventually to Keras itself. TF and tf.keras already use a similar system, but the `keras` package itself doesn't do it yet (hence why you're supposed to always do `from tensorflow import keras`).
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LLMs: First Major Success in Deep Learning History
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I don't remember word2vec trending on Twitter or being front page news. Or creating a billion dollar market. LLMs are the first big success story in their lineage.
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Human BS Generation: A Social Game Beyond LLM Capability
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It's accurate that humans generate a lot of BS, and superficially that might sound like something you could do with a LLM… but when people do it, it's always as a tool (among others) in a social game that is completely out of reach for non-humans, and likely always will be.
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LLMs Can Only Automate Boilerplate Code Worth Eliminating
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The only kind of "BS" that can genuinely be automated with a LLM is… boilerplate. But here's the thing — boilerplate that can be automated away is also boilerplate that we could do away with altogether.
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Mistaking Surface Similarity for Job Automation
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The same is true of many other jobs where BS generation is at play. You see ChatGPT and think, "Hey ChatGPT can sound just like X. Guess we'll automate Xs next!" — but then you misunderstand what Xs are actually doing. You mistake the cover for the book.
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Exam-passing AI programs could exist since 2011 with minimal economic impact
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Jeopardy is of the same nature as most of these exams, and arguably harder. I have no doubt that a program specifically trained to pass any of these exams could have been developed as early as 2011. To note, the economic impact of that particular program was ~0.
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AI’s Unfulfilled Promises on Employment Since Jeopardy
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An AI program became Jeopardy world champion in February 2011, 12 years ago. According to its creators, it was supposed to replace most doctors. Many interpreted the milestone as meaning that we were close to AI that would render tens of millions of people jobless.