Funnily, there seems be as many folks saying "no one ever claimed in 2016 that self-driving car were anywhere close to ready" (fact check: it was the conventional wisdom in the tech crowd back then that they'd be mass-deployed before 2020) as folks saying "self-driving car were
@fchollet
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Spotting Students Who Memorize Without Understanding: The AI Analogy
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This is also how you spot students who pass their exams purely by memorizing tons of previous tests without understanding the class materials (a pretty good analogy for AI): you test them on something they didn't expect, that requires thinking from first principles.
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Beating Superhuman Go AIs by Exploiting Generalization Flaws
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Fascinating result: reliably beat superhuman Go AIs by exploiting the fundamental flaw of modern AI — generalization.
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Multi-backend Keras solves JAX adoption challenges and migration costs
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For instance, JAX has considerable benefits to offer, but so far its adoption has lagged behind — simply because it is quite difficult to adopt, and if you have an existing stack, the cost of migration is heavy. Multi-backend Keras solves this.
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Multi-backend Keras drives innovation without framework monopoly
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As long as there is innovation, there can't be a framework monopoly. I believe multi-backend Keras encourages innovation on the front of low-level frameworks, because it can make new capabilities immediately available to most devs (via a new backend) without requiring a migration
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AI Autonomy: The Reality Check on Self-Driving Capabilities
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If they could drive better than humans, they'd be driving you.
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Self-driving cars in 2023: progress limited to specific geofenced areas
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Back to self-driving — 7 years after these claims were being made (about 2016 technology), 2023 self-driving cars can drive very well within specific geofenced areas (two cities so far). They're not driving "better than humans", because humans drive pretty well anywhere.
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General Ability vs Situational Competence in AI Systems
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There's a big difference between possessing a *general* ability vs being able to show the appearance of competence in specific situations. AI has always excelled at the latter, but the value is in the former.
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Skill vs Intelligence: Understanding AI Misconceptions
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Most misconceptions about AI would be cleared if folks had a decent understanding of the distinction between skill and intelligence, and between memorization and generalization.
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Rage Baiting Undermining Human Survival Instincts
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Rage baiting to snuff out humanity's basic survival instinct. Nice job everyone