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1 month ago
5
Over the past year, it has become almost a ritual: every few weeks, a new announcement surfaces claiming that a large language model (LLM) has “solved an International Mathematical Olympiad (IMO) problem”.
In this episode, we explore why AI labs need to go beyond Olympiad style benchmarks and start aiming for something far deeper, the kind of mathematical creativity that leads to new definitions, new conjectures, and entirely new ways of thinking. We discuss what true discovery means in mathematics, why solving is not the same as inventing, and how future AI systems could move from pattern recognition to genuine conceptual innovation.
Disclaimer: This is an experimental pod that leverages AI narration with the script written by humans. Of course, the narration occasionally goes off track due to technical nuances and LLM hallucinations. However, most of the time, it gets the technical content right.
We are planning to run three parallel live bootcamps to better cater to the diverse stages and needs of our community members.
If you are already a QF Academy subscriber, you may have received the survey, please ignore this email in that case. For everyone else, if any of the topics in the survey interest you and you would like to participate, you will receive a 40% discount on the bootcamp.
Please fill out the form to indicate your preferred bootcamp: https://forms.gle/uXE9giUa6VuHVq3k6.
Happy rest of the week!
QF Academy team
