“I think the main thing, fundamentally, is I think there's very limited generality that we get from these models and even for multimodality, for example my understanding there's no positive transfer from learning in one modality to other modalities. So like training off of a bunch of video doesn't really help you that much with your text problems and vice versa.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
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More from Alexandr Wang
PredictionNot checkable as stated
Wang: The path to AGI resembles curing cancer, not a vaccine
“My biggest belief here is that the path to AGI is is one that looks a lot more like curing cancer than developing a vaccine. And what I mean by that is I think that the path to build AGI is going to be in, in, you know, you're going to have to solve a bunch of…”
Alexandr WangDec 26, 2024▶ 23:49No Priors Ep. 95 | Best of 2024
AssertionContradicted
Wang: AI gets no positive transfer across modalities like video to text
“My understanding there's no positive transfer from learning in one modality to other modalities. So like training off of a bunch of video doesn't really help you that much with your text problems and vice versa.”
Alexandr WangDec 26, 2024▶ 25:42No Priors Ep. 95 | Best of 2024
AssertionNot checkable as stated
Wang: No strong evidence that video creates useful AI world models
“I don't think there's strong scientific evidence of that yet. Maybe there will be eventually.”
Alexandr WangDec 26, 2024▶ 26:11No Priors Ep. 95 | Best of 2024
PredictionNot checkable as stated
Alexandr Wang: Achieving AGI will take multiple decades of solving individual problems.
“My biggest belief here is that the path to AGI is is one that looks a lot more like curing cancer than developing a vaccine. And what I mean by that is I think that the path to build AGI is going to be in, in, you know, you're going to have to solve a bunch of…”
Alexandr WangMay 22, 2024▶ 34:53No Priors Ep. 65 | With Scale AI CEO Alexandr Wang
AssertionSupported
Wang: Standard academic benchmarks are contaminated by training data overfitting
“Most of the benchmarks that we as a community look at... Academic benchmarks that are what the industry used to measure the performance of these algorithms are fraught with issues. Many of the models are overfit on these benchmarks. They're sort of in the trai…”
Alexandr WangJul 11, 2024▶ 23:21No Priors Ep. 71: The Best of 2024 (so far) with Sarah Guo and Elad Gil
Insight
Alexandr Wang: Data abundance is the fundamental bottleneck for post-GPT-4 models.
“The key to the scaling of these large language models and the, you know, these language models in general is the ability to scale data. And I think that one of the fundamental bottlenecks to, you know, what's, what's in the way of us getting from GPT-IV to GPT…”
Alexandr WangMay 22, 2024▶ 9:09No Priors Ep. 65 | With Scale AI CEO Alexandr Wang
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