OpenAI says an internal model has resolved more than 100 long-standing math problems, including a claimed result on Navier–Stokes.
Most of those proofs have not been released, so the claim still needs independent review.What we can already see is that frontier models are producing research-level math that working mathematicians have to check.
Terence Tao has used these tools in his own work and has also criticized companies for racing to announce results before the field can understand them.
As a data analyst, this is the AI progress I am watching. The models are getting better at hard reasoning. The next constraint is verification.
IBM surveyed 1,500 CHROs and 8,800 employees.
71% of CHROs say the #1 AI skill is supervising, validating, and overriding AI output.
Only 29% of employees rank judgment as important.
60% of employees worry AI is already eroding their skills, critical thinking most of all.
Using AI is easy. Questioning it is the work.
One thing I’ve learned throughout my career journey:
Hiring for experience alone can mean missing people who are curious, adaptable, and willing to learn.
Skills can be developed. Knowledge can be built. But the motivation to keep learning is what helps us grow with a changing world.
I’m trying to remind myself of this as I continue learning, building new skills, and stepping into new opportunities.
Curiosity and willingness to learn matter.
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