Row 1577

Row ID: 1577 | Dataset Entry | Axioma AXP Content Repository

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In TED Interview on the future of AI from three months ago, Demis Hassabis says he spends most of his time on the problem of abstract concepts, conceptual knowledge, and approaches to move deep learning systems into the realm of symbolic reasoning and mathematical discovery. He says at DeepMind they have at least half a dozen internal prototype projects working in that direction:

https://youtu.be/I5FrFq3W25U?t=2550

Earlier, around the 28min mark, he says that while current LLMs are very impressive, they are nowhere near reaching sentience or consciousness, among other things, because they are very data-inefficient in their learning

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text In TED Interview on the future of AI from three months ago, Demis Hassabis says he spends most of his time on the problem of abstract concepts, conceptual knowledge, and approaches to move deep learning systems into the realm of symbolic reasoning and mathematical discovery. He says at DeepMind they have at least half a dozen internal prototype projects working in that direction: https://youtu.be/I5FrFq3W25U?t=2550 Earlier, around the 28min mark, he says that while current LLMs are very impres…
label r/deepmind
dataType post
communityName r/deepmind
datetime 2022-12-28
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Raw Record

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  "text": "In TED Interview on the future of AI from three months ago, Demis Hassabis says he spends most of his time on the problem of abstract concepts, conceptual knowledge, and approaches to move deep learning systems into the realm of symbolic reasoning and mathematical discovery. He says at DeepMind they have at least half a dozen internal prototype projects working in that direction:\n\nhttps://youtu.be/I5FrFq3W25U?t=2550\n\nEarlier, around the 28min mark, he says that while current LLMs are very impressive, they are nowhere near reaching sentience or consciousness, among other things, because they are very data-inefficient in their learning",
  "label": "r/deepmind",
  "dataType": "post",
  "communityName": "r/deepmind",
  "datetime": "2022-12-28",
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