human are really good on intelligence, cause human has pretty good biolgical flexibility and ability to work collectively. agi must be build on this paradigm, atleast
claude has weird sentence and writing style that i am not comfortable with, this really matters if you want to study. the current best writing style for me is grok, gpt sits in the middle of both.
Almost nothing appears from these major areas:Number theory (analytic, algebraic, or combinatorial)
,Algebraic geometry
,Algebraic topology / homotopy theory
,Abstract algebra and representation theory (group/ring theory, Lie algebras, etc., beyond incidental uses)
,Mathematical logic / set theory / foundations
,Category theory / homological algebra
AI’s ranking of open problems solved in today’s arXiv list.
AI put problems connected to Gromov’s work in the top two spots. For #3, I remember attending a talk by one of the authors. #4 is, to me, one of the cutest problems in complex analysis, I first learned about it in Chapter I of Garnett–Marshall’s Harmonic Measure book about 15 years ago.
Almost nothing appears from these major areas:
-Number theory (analytic, algebraic, or combinatorial)
-Algebraic geometry
-Algebraic topology / homotopy theory
-Abstract algebra and representation theory (group/ring theory, Lie algebras, etc., beyond incidental uses)
-Mathematical logic / set theory / foundations
-Category theory / homological algebra
ai need to be tested more on this area
@SpaceXAI instead of throwing numbers. make a video comparison on some of the task that grok really exels on compared to others, i believe there is some significant grok edge.
@amanrsanger@mntruell
the current ai approach seems off for me, overly engineered stochastic machine. like you put dice on the funnel, and make the funnel so that the dice always get the number you want or you can verified