I just published What does it mean for a machine to ‘understand’? https://link.medium.com/vvNZ4pks80 1/
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Today, despite the critics, AI R&D continues to deliver useful functionality to users. So let’s stop dismissing our successes as “fake” and not “genuine”, and let’s continue to move forward with honesty and productive self-criticism. 6/
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Speaking of productive self-criticism. When we demonstrate a new capability, let's also demonstrate its limits by showing instances of functional failures. Much of the criticism is a reaction to the hype generated by researchers and the organizations they work for. 7/
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It is important, both for intellectual honesty and for continued funding, that AI researchers claim credit for our successes and take ownership of our shortcomings. end/
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I would be quite interested in learning more about where specific AI research funding has dried up due to prominent researchers voicing concern over the direction of the field.
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See https://en.wikipedia.org/wiki/AI_winter and in particular the impact of the Perceptrons book on funding for neural network research
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I don't understand why it requires hijacking the term 'understanding' to be excited about the applications of ML. Can't we say, "See how useful that thing is in spite of it having no understanding?". Do I care that my toaster doesn't understand toasting?
- Još 2 druga odgovora
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What we have today is criticism of claims of advancement, not of the actual efforts, and it's the claims that are driving funding (not clear if VC's are trying to not be left out, playing a long game, or expect unrealistic time-to-market).
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Čini se da učitavanje traje već neko vrijeme.
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