Project Euler problem 960 2025-12-13
Numerical solution:
243559751Earliest known public leak: github.com/lucky-bai/projecteuler-solutions/issues/93
Programs:
Project Euler problem 957 2025-12-13
Numerical solution:
367554579311Earliest known public leak: github.com/lucky-bai/projecteuler-solutions/commit/f7d538c7fa68d4a502da6705fd7ec3afc89e0cf9#diff-37cf8442cb9ce8d4c7401df424ea9362634a8a8733caa930c07346ea624be24fR961
Programs: TODO!
Project Euler problem 956 2025-12-13
Numerical solution:
882086212Earliest known public leak: github.com/lucky-bai/projecteuler-solutions/commit/a6ff5a562e32d17b044638b72f831d7bcba96ef2
Programs:
Project Euler problem 955 2025-12-13
Numerical solution:
6795261671274Earliest known public leak: github.com/lucky-bai/projecteuler-solutions/pull/89
Programs:
Project Euler problem 954 2025-12-13
Numerical solution:
736463823Earliest known public leak: github.com/lucky-bai/projecteuler-solutions/pull/88
Programs: TODO
MathArena Apex 2025-12-13
Elliot Glazer 2025-12-13
Creator of FrontierMath.
Socials:
However it is cool that this overfit does not allow you to compute the final input for which there is no known output.
This therefore forces the creation of more general solution rules.
While in some cases solutions can work for any input, in many others they require specific assumptions about input, but the model could simply check that the assumptions apply to all inputs and use them for the final algorithm.
Bibliography:
Official ARC-AGI problem set 2025-12-13
ARC-AGI without LLM 2025-12-13
Some mentions at: arcprize.org/blog/arc-prize-2025-results-analysis section "Zero-Pretraining Deep Learning Methods".
ARC-AGI feature extraction 2025-12-13
www.kaggle.com/code/allegich/eda-statistical-analysis-and-feature-extraction has a very basic feature extraction.
Verina 2025-12-13
AI code generation benchmark in which part of the benchmark includes producing a formal Lean proof of the implementation. Sweet.
ARC-AGI problem set 2025-12-13
ARC-AGI theory 2025-12-13
Principia Labs 2025-12-13
www.principialabs.org
We combine large-scale pretraining with reinforcement learning to create models that can rederive and learn from the entire corpus of human mathematics. Our goal is automated mathematical discovery: AI that does the creative, generative work that was previously only possible for the world's best researchers—and can be deployed on the hardest problems in science and engineering.
Math, Inc careers page puzzle 2025-12-13
www.math.inc/careers
Suppose that today is June 1, 2025. We call a date "square" if all of its components (day, month, and year) are perfect squares. I was born in the last millennium, and my next birthday (relative to that date) will be the last square date in my life. If you sum the square roots of the components of that upcoming square birthday (day, month, year), you obtain my age on June 1, 2025. My mother would have been born on a square date if the month were a square number; in reality it is not a square date, but both the month and day are perfect cubes. When was I born, and when was my mother born?
One shot by GPT-5.1, possibly contaminated obviously:
Math, Inc 2025-12-13
Logical Intelligence Inc. 2025-12-13
Axiom Math 2025-12-13
Not to be confused with tutoring company "Axiom Maths" which shows on top of Google results: axiommaths.com/ lol fuck.
Math AI company 2025-12-13
There are unlisted articles, also show them or only show them.