"In response to a query from the Guardian, Zhu said that he had supervised the 131 papers, which were “team endeavors” run by his company, Algoverse. The company charges $3,325 to high-school students and undergraduates for a selective 12-week online mentoring experience – which involves help submitting work to conferences"

#neurips #ai #vibecoding #science #research

"The author, Kevin Zhu, recently finished a bachelor’s degree in computer science at the University of California, Berkeley, and now runs Algoverse, an AI research and mentoring company for high schoolers – many of whom are his co-authors on the papers. Zhu himself graduated from high school in 2018"

#neurips #ai #vibecoding #science #research

｢ A single person claims to have authored 113 academic papers on artificial intelligence this year, 89 of which will be presented this week at one of the world’s leading conference on AI and machine learning, which has raised questions among computer scientists about the state of AI research ｣

https://www.theguardian.com/technology/2025/dec/06/ai-research-papers

#NeurIPS #ai #science #research

NeurIPS best paper awards 2025

https://blog.neurips.cc/2025/11/26/announcing-the-neurips-2025-best-paper-awards/

#HackerNews #NeurIPS #NeurIPS2025 #BestPaper #Awards #MachineLearning #AIResearch #AcademicExcellence

Can AI surrogates outperform their training data? Turns out the answer is yes - with a few caveats 😉 https://tum-pbs.github.io/emulator-superiority/ I'm happy to higlight Felix' #NeurIPS paper to be presented next week in San Diego. He discovered this "superiority", and developed a theory to analyze when it does show up. This surprising behavior leads to interesting and fundamental questions about the role of training data, and about how neural networks and learning-based surrogates should be evaluated.

Can AI surrogates outperform their training data? Turns out the answer is yes - with a few caveats 😉 https://tum-pbs.github.io/emulator-superiority/ I'm happy to higlight Felix' #NeurIPS paper to be presented next week in San Diego. He discovered this "superiority", and developed a theory to analyze when it does show up. This surprising behavior leads to interesting and fundamental questions about the role of training data, and about how neural networks and learning-based surrogates should be evaluated.