Terence Tao
AssessTools
A mathematician cited as an example of expert-level prompting and reasoning with ChatGPT.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 4Hacker News·8/3/2026researchDomain expertise makes LLM prompting more effective
The post argues that the biggest skill in using LLMs is not generic prompt engineering, but deep domain knowledge. Using Terence Tao’s discussion with ChatGPT about the Jacobian Conjecture counterexample, it shows how expertise helps users ask better questions, spot issues, and steer the model toward useful answers. It also suggests that as models improve, human expertise remains important because the main bottleneck is often expressing the right problem to the model.