Princeton computer science professor Arvind Narayanan highlights a key design flaw in AI educational tools, explaining that AI developers project their own self-motivated learning habits onto typical students.
“You have a lot of AI developers who are thinking of themselves as the typical learner, and they're not.”
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More from Arvind Narayanan
PredictionOpen · timeframe Aug 2034
Narayanan: AI model scaling cycles are ending
“We're not gonna have too many more cycles, possibly zero more cycles, of a model that's almost an order of magnitude bigger in terms of the number of parameters than what came before, and thereby more powerful.”
Arvind NarayananAug 28, 2024▶ 0:00Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
PredictionNot checkable as stated
Narayanan: Skeptical GPT-5 will yield a leap comparable to GPT-4
“Are we going to see a GPT-V that's as big a leap over GPT-V as GPT-V was over GPT-V? I'm frankly skeptical.”
Arvind NarayananAug 28, 2024▶ 5:44Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
PredictionNot checkable as stated
Narayanan: Recursive AI scaling using synthetic data will not work
“And the other way to look at synthetic data is, okay, you take one trillion tokens, you train a model on it, and then you output 10 trillion tokens, so you get to the next bigger model, and then you use that to output a hundred trillion tokens. You know, I'll …”
Arvind NarayananAug 28, 2024▶ 8:55Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
Opinion
Narayanan: GPT-4 passing bar and medical exams meant nothing for actual practice
“So when GPT-IV came out and OpenAI claimed that it passed the bar exam and the medical licensing exam people were very excited slash scared about what this means for doctors and lawyers, and the answer turned out to be approximately nothing, right? Because it'…”
Arvind NarayananAug 28, 2024▶ 18:44Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
PredictionNot checkable as stated
Narayanan: AI bots influencing elections with misinformation is not a real danger
“So people have been worried, for instance, about bots creating misinformation with AI and influence in elections and that sort of thing. We're very, very skeptical that that's going to be a real danger.”
Arvind NarayananAug 28, 2024▶ 29:51Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
Opinion
Narayanan: Comparing AI to nuclear weapons is a category error
“I think it's a bit of a category error there. I mean, a nuclear weapon is an actual weapon. AI is not a weapon.”
Arvind NarayananAug 28, 2024▶ 41:59Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
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