DeepMind AlphaGeometry: Is AGI just around the corner?

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Discussion Overview

The discussion centers on DeepMind's AlphaGeometry, an AI system designed to solve Euclidean plane geometry problems, and its implications for the development of artificial general intelligence (AGI). Participants explore the capabilities of AlphaGeometry, skepticism surrounding AI advancements, and the philosophical considerations of AGI.

Discussion Character

  • Debate/contested
  • Exploratory
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • Some participants express concern that AI surpassing human capabilities in mathematics could lead to uncontrollable advancements.
  • Others highlight skepticism regarding AI claims, referencing past incidents like the Gemini debacle and questioning the reliability of press releases.
  • One participant notes that DeepMind's results have a good track record, suggesting that the peer-reviewed nature of the AlphaGeometry paper lends it credibility.
  • Questions are raised about the limitations of AlphaGeometry, particularly regarding its performance on problems that cannot be proven or require numerical evaluation.
  • Some participants express skepticism about the reliability of AI-generated proofs, suggesting that it may produce false proofs and that it would be preferable for AI to acknowledge unsolvable problems.
  • A philosophical perspective is introduced, arguing that true AGI remains a theoretical concept, with ongoing developments in AI not necessarily indicating imminent AGI.
  • There are references to the need for AI to solve complex problems effectively, with some participants suggesting that current AI capabilities are still limited.

Areas of Agreement / Disagreement

Participants generally express a mix of skepticism and cautious optimism regarding the implications of AlphaGeometry for AGI. There is no consensus on the reliability of AI in solving mathematical problems or the definition and feasibility of AGI at this stage.

Contextual Notes

Limitations include the unclear definitions of AGI, the potential for AI to produce incorrect solutions, and the philosophical nature of discussions surrounding the understanding of human cognition.

Meow12
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Indeed, but that is not just a press release; it is a peer-reviewed paper in Nature.
Also, in this context I believe DeepMInd is somewhat separate from Google. While they are indeed owned by Google (and their technology is used in Google products) I am not aware of any DeepMind results/paper being retracted. Results published under the DeepMind name seems to have a` good track record.
 
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Did they test negatives? What happens when you give it a problem that cannot be proven? Or that can only be verified by numerical evaluation?
 
Swell. A tool that can answer geometry questions incorrectly. Just what we need.
 
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Vanadium 50 said:
Swell. A tool that can answer geometry questions incorrectly. Just what we need.
It's just that it will certainly come up with a lot of false proofs, it would be nice to have an AI say, "I cannot solve it".
 
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From my understanding, the concept of true AGI is still a bit philosophical when we are still scratching the surface of understanding how the human mind works. There will no doubt be continued miraculous developments in AI, but AGI right now is still just a buzzword.
 
Sabine Hossenfelder take on this:
 
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Meow12 said:
DeepMind's new geometry problem-solver AlphaGeometry can solve Euclidean plane geometry questions
... AGI just around the corner...

Let's discuss this when there will be an AI capable enough to solve 'neighbour problems' without utilizing shotguns.
Math is easy :wink:
 
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Rive said:
Let's discuss this when there will be an AI capable enough to solve 'neighbour problems' without utilizing shotguns.
Math is easy :wink:
We've solved that in the UK. The solution is gun laws.
 
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