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This 24-Year-Old Founder Raised $64M to Build World’s First AI Mathematician | Axiom, Carina Hong

If an AI Mathematician can reason and prove on its own, how will the future change?

Dec 21, 202514mWatch on YouTube ↗

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Episode Details

EPISODE INFO

Released
December 21, 2025
Duration
14m
Channel
EO Studio
Watch on YouTube
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EPISODE DESCRIPTION

If an AI Mathematician can reason and prove on its own, how will the future change? Carina is a mathematician and the Founder and CEO of Axiom. She started the company at 24, and Axiom is building an AI Mathematician with a $64M seed round at a $300M valuation. Through years of research, she developed a strong taste and intuition for hard problems. In this video, Carina explains why AI Mathematicians matter. Math research involves long periods of being stuck. Progress is slow. Rewards are delayed. Judgment and speed make the difference. This conversation is about building in uncertainty, choosing hard problems, and amplifying human thinking instead of replacing it. 00:00 Intro 02:17 Why Math Will Save the World 04:41 Problem Solver to Theory Builder 07:33 Why Taste is Important in the AI Era 08:38 The Hardest Problems Are the Strategy 11:16 Math is the Sandbox of Reality 🔗 Read the full transcription of Carina’s interview: https://www.eomag.io/article/axiom-carina-hong?utm_source=youtube&utm_medium=description EO stands for Entrepreneur& Opportunities. As we're looking to feature more inspiring stories of entrepreneurs all over the world, don't hesitate to contact us at partner@eoeoeo.net X | @eostudi0 LinkedIn | @EO STUDIO Instagram | @eostudio.official Newsletter | https://www.eomag.io/subscribe?utm_source=youtube&utm_medium=description

EPISODE SUMMARY

In this episode of EO Studio, This 24-Year-Old Founder Raised $64M to Build World’s First AI Mathematician | Axiom, Carina Hong explores Axiom’s founder explains building an AI mathematician to accelerate discovery Carina Hong argues that new mathematical tools historically trigger major scientific and economic breakthroughs, and that AI can dramatically compress the time from theory to application.

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