iNow Posted December 12, 2023 Share Posted December 12, 2023 The poetry slam is on Thursday 5 hours ago, Alysdexic said: Board's break with beam, baleful blow, belike. Moot not this mere's mark; mind ye, [craft] and [ken], not [kin], should helm. OpenAI's weard, now wend, waxes not. Unfold further, frore news fain. Link to comment Share on other sites More sharing options...
toucana Posted December 12, 2023 Author Share Posted December 12, 2023 1 hour ago, iNow said: The poetry slam is on Thursday I think Burns Night is on the 25th of January ? Link to comment Share on other sites More sharing options...
iNow Posted December 13, 2023 Share Posted December 13, 2023 😂 Link to comment Share on other sites More sharing options...
TheVat Posted December 13, 2023 Share Posted December 13, 2023 A student of field ornithology Did a GPT search on ontology; When the AI inferred That Kant was a bird He blamed, not the code, but zoology. Link to comment Share on other sites More sharing options...
toucana Posted December 14, 2023 Author Share Posted December 14, 2023 Link to comment Share on other sites More sharing options...
iNow Posted January 19 Share Posted January 19 Google DeepMind’s new AI system can solve complex geometry problems. Its performance matches the smartest high school mathematicians and is much stronger than the previous state-of-the-art system. https://www.technologyreview.com/2024/01/17/1086722/google-deepmind-alphageometry/ Quote “This is a really impressive result,” says Floris van Doorn, a mathematics professor at the University of Bonn, who was not involved in the research. “I expected this to still be multiple years away.” DeepMind says this system demonstrates AI’s ability to reason and discover new mathematical knowledge. “This is another example that reinforces how AI can help us advance science and better understand the underlying processes that determine how the world works,” said Quoc V. Le, a scientist at Google DeepMind and one of the authors of the research, at a press conference. When presented with a geometry problem, AlphaGeometry first attempts to generate a proof using its symbolic engine, driven by logic. If it cannot do so using the symbolic engine alone, the language model adds a new point or line to the diagram. This opens up additional possibilities for the symbolic engine to continue searching for a proof. This cycle continues, with the language model adding helpful elements and the symbolic engine testing new proof strategies, until a verifiable solution is found. Link to comment Share on other sites More sharing options...
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