EU AI Watch: Terence Tao, ChatGPT, and the Jacobian Conjecture: A New Era of AI in Academic Discourse

On July 23, 2026, something extraordinary happened in the world of mathematics and artificial intelligence. Terence Tao, one of the most brilliant mathematicians of our time, engaged in a public conversation with ChatGPT about the Jacobian Conjecture—a problem that has baffled mathematicians for decades. This interaction, which scored a whopping 785 points on Hacker News, isn’t just a fascinating exchange between human and machine; it’s a pivotal moment that highlights the evolving role of AI in academic research and the pressing need for robust AI regulation, especially in the European Union.

The conversation began with Tao posing a series of intricate questions about the Jacobian Conjecture, a problem in algebraic geometry. ChatGPT, leveraging its vast dataset and advanced natural language processing capabilities, provided insightful responses that demonstrated a deep understanding of the problem. While the AI didn’t solve the conjecture (no surprises there), it offered valuable perspectives and potential approaches that Tao found “thought-provoking.”

So, why does this matter? For starters, it underscores the growing influence of AI in fields traditionally dominated by human intellect. AI is no longer just a tool for data analysis; it’s becoming a collaborator in the creative and intellectual processes. This has profound implications for academia, where AI could accelerate research and offer new avenues for exploration.

However, this development also raises critical questions about the role of AI in sensitive areas like mathematics and science. Can we trust AI to provide accurate and reliable information? How do we ensure that AI doesn’t perpetuate biases or introduce errors into complex problem-solving? These are the questions that the EU is grappling with as it navigates the implementation of the EU AI Act.

The EU AI Act, set to be one of the most comprehensive AI regulations globally, aims to establish a framework for the ethical and safe use of AI. As AI systems like ChatGPT become more integrated into academic and professional environments, the Act’s guidelines on transparency, accountability, and risk management are more crucial than ever. The Tao-ChatGPT conversation serves as a timely reminder of the need for clear regulations that can foster innovation while safeguarding against potential pitfalls.

What this means is that the EU is at a crossroads. On one hand, AI has the potential to revolutionize industries and drive economic growth. On the other hand, without proper regulation, there’s a risk of misuse and unintended consequences. The Tao-ChatGPT interaction highlights the delicate balance that the EU must strike. It must encourage the development of AI technologies that can contribute to fields like mathematics and science while ensuring that these technologies are used responsibly.

European AI companies, in particular, will feel the impact of the AI Act. They will need to adapt to new compliance requirements, which could be both a challenge and an opportunity. By adhering to stringent standards, these companies can build trust with consumers and stakeholders, potentially giving them a competitive edge in the global market. Moreover, the Act could spur innovation in AI ethics and

Source: Terence Tao’s ChatGPT conversation about the Jacobian Conjecture counterexample — 785 points on Hacker News