"Out of these 14 tasks, we guessed that only 6 require abstract reasoning alone to perform. Strikingly, we classified only one of the top five most important tasks for medical scientists as relying solely on abstract reasoning. Overall, the most critical aspects of the job appear to require hands-on technical skills, sophisticated coordination with others, specialized equipment use, long-context abilities, and complex multimodal understanding."
Almost all of 14 R&D tasks listed in the table including that are not suited for data-driven AI with abstract reasoning can be solved by CP. Provided that we are allocating enough compute resources with at least similar to that we're currently providing data-driven AI with the crazy amount cloud networks of massively parallel compute CPU/GPU/TPU/etc.
Fun facts, the modern founder of Logic, Optimization, and Constraint Programming is George Boole, the grandfather of Geoffrey Everest Hinton, the "Godfather of AI" and "Godfather of Deep Learning".
[1] Constraint programming:
https://en.wikipedia.org/wiki/Constraint_programming
[2] Logic, Optimization, and Constraint Programming: A Fruitful Collaboration - John Hooker - CMU (2023) [video]:
https://www.youtube.com/live/TknN8fCQvRk
[3] "We Really Don't Know How to Compute!" - Gerald Sussman - MIT (2011) [video]: