AlphaGeometry2: Impressive accomplishment, but still a long path ahead
We recorded 11 claims from this post. 5 were checked against evidence. 6 can’t be checked. 7 more are held. Read the post at its source.
Claims from this post (11)
In the order they appear in the post. Each quotation is the speaker’s words in this post. A label such as “Supported” or “Can’t be checked” is the claim’s current assessment; its page has the evidence and the reasons.
Assessment: UnresolvedSaid
Observation
“DeepMind didn’t make that claim, and it isn’t true.”
Our reading: The TechCrunch headline's claim about AlphaGeometry2 was not made by DeepMind and is not true.
No horizon Evidence as of
Limitation: The packet contains no quoted DeepMind report or matched performance evidence.
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“There is no question that this is a very impressive accomplishment.”
Our reading: AlphaGeometry2 solving 42 of 50 IMO geometry problems is, without question, a very impressive accomplishment.
No horizon
Assessment: SupportedSaid
Observation
“Unlike DeepMind’s AlphaZero system which learned to play multiple board games, or OpenAI’s ChatGPT, AlphaGeometry2 is nowhere close to being a single general-purpose learning architecture.”
Our reading: AlphaGeometry2 is a specialized system, nowhere close to a single general-purpose learning architecture.
No horizon Evidence as of
Limitation: The documentation became available after Marcus’s February 17 post.
Assessment: UnresolvedSaid
Observation
“Taking this into account, the fraction of problems where a composite AI system could solve the problem starting with its English language statement is at most 60%.”
Our reading: Of the 50 IMO geometry problems from 2000 to 2024, a composite AI system starting from the English problem statements could solve at most 60%.
No horizon Evidence as of
Limitation: Automatic translation success does not itself establish solving success.
Assessment: Can’t be checkedSaid
Forecast
“We have always felt that greater modularity will be a necessary part of future AI, and welcome these kinds of explorations.”
Our reading: Greater modularity will be a necessary part of future AI.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Still, an important takeaway is a familiar one about benchmarks: they are often narrowly constructed, and one shouldn’t overgeneralize a strong result on a benchmark for a full conceptual understanding of a problem.”
Our reading: Benchmarks are often narrow, and strong benchmark results should not be taken as full conceptual understanding.
No horizon
Assessment: UnresolvedSaid
Conditional forecast
“Even if one were to glom together the best general AIs with AlphaGeometry2, the combination would fall far short of the geometric understanding and problem solving ability of high school math student with a talent for math.”
Our reading: Combining the best general AIs with AlphaGeometry2 would still fall far short of a talented high school math student's geometric understanding and problem-solving.
No deadline stated Evidence as of
Only if: if the best general AIs were combined with AlphaGeometry2
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“This seems too strong to us, because the system is actually sidestepping a critical part of IMO challenges: understanding the English statement of the problems; by preconverting each problem into formal notation, there is a sense in which DeepMind has given their system an unfair start, and not grappled with something essential.”
Our reading: DeepMind's 'gold-medalist performance' claim seems too strong to the authors, because preconverting each problem into formal notation means the system sidesteps understanding the English problem statements, which in a sense gives it an unfair start.
No horizon
Qualifier: seems too strong to us
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“We see no reason at all to call it “superhuman”.”
Our reading: The authors see no reason at all to call AlphaGeometry2's solutions 'superhuman'.
No horizon
Assessment: SupportedSaid
Observation
“Simply false, in view of the many basic aspects of geometry that AlphaGeometry2 does not cover, as discussed above.”
Our reading: The claim that AlphaGeometry2 'just figured out geometry' is false because it does not cover many basic aspects of geometry.
No horizon Evidence as of
Limitation: Support depends on reading figured out geometry as general mastery.
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“It is disappointing that a top research team confused success on a prestigious competition with mastery of a foundational subject matter, and tiresome to see the media overhype things as ever.”
Our reading: It is disappointing that a top research team confused success on a prestigious competition with mastery of a foundational subject, and tiresome that the media overhype things as ever.
No horizon
Held from this post (7)
These records did not pass every check, so nothing about them is published. Held is not a finding.
- The two reviews read the claim differently
- The two reviews read the claim differently
- The record does not meet the current rules. Our reading, not assessed: AlphaGeometry 1 and 2 and AlphaProof are flagship examples of successful neuro-symbolic AI.
- The record does not meet the current rules. Our reading, not assessed: AlphaGeometry does very well on IMO problems but a whole world of geometry lies outside its grasp.
- The two reviews read the claim differently
- The two reviews read the claim differently
- The criteria are ambiguous. Our reading, not assessed: Chatbots like ChatGPT have huge gaps in geometric understanding and reasoning.