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by tough
518 days ago
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The speaker is presenting a new AI tool that can synthesize proofs of mathematical theorems. The tool uses a combination of numerators and primitives to prove theorems exponentially fast, even on a single core. The speaker notes that the tool has limitations, such as only recursing on row numbers and not being able to learn or predict the next token in a symbolic transform. However, they believe that the tool will be useful for programming and solving big problems, such as the Riemann Hypothesis or making a whole game from scratch. The speaker plans to release a playground soon, allowing users to experiment with the tool and have fun using it. Some key points from the presentation include: * The tool can prove mathematical theorems exponentially fast, even on a single core.
* It uses a combination of numerators and primitives to prove theorems.
* It has limitations, such as only recursing on row numbers and not being able to learn or predict the next token in a symbolic transform.
* The tool will be useful for programming and solving big problems.
* A playground will be released soon, allowing users to experiment with the tool and have fun using it. Overall, the speaker is excited about the potential of the tool and believes it could be a valuable addition to the field of AI research and development. |
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01:53 Proving the Ruma Hypothesis - https://youtu.be/GddkKIhDE2c?t=113
14:45 Boolean, Natural Number, Words of Fixed Length, Lists, Funct - https://youtu.be/GddkKIhDE2c?t=885 22:01 Demonstrating a Key Theorem - https://youtu.be/GddkKIhDE2c?t=1321 24:01 Enumerating the Proof Space - https://youtu.be/GddkKIhDE2c?t=144126:06 Integrating with Theorem Provers - https://youtu.be/GddkKIhDE2c?t=1566
27:20 Closing Notes: Simplistic Tool for Fast Solutions - https://youtu.be/GddkKIhDE2c?t=1640
28:08 Ready to Paralize with Cluster of Matchminis - https://youtu.be/GddkKIhDE2c?t=1688
29:18 Predicting Next Tokens with Symbolic Transforms - https://youtu.be/GddkKIhDE2c?t=1758