@RadishHarmers There's probably some selection bias involved, as in mathematicians more likely to be eager to try out the LLMs in different problems are more likely to work at LLM companies, and those against the use of LLMs more likely not to work at those companies and not prompt
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
Researchers asked every major AI model (GPT-5, Claude, Gemini, Grok) for business strategy advice. 30,000 times.
Every model gave the same answer, every time, regardless of context.
Differentiate. Collaborate. Think long-term. Augment.
They changed the prompts and changed the industries. They even tried bribing the models with rewards. The bias barely moved.
They called it "trendslop", AI's tendency to recommend whatever sounds good on LinkedIn instead of what actually works for your situation.
Why? These models are trained on the entire internet. Every Reddit post, every TED Talk, every Medium article from a guy with 11 subscribers. They don't reason. They regurgitate the most popular opinions in the most convincing voice possible.
We thought AI was going to make everyone a genius. Instead it's pulling smart people toward the middle.
https://t.co/FfMRbI5dbN
@Dorialexander@V4ldeLund Something similar to a variational auto encoder but for math problem space? Or do you recon this problem space isn't compatible with this genre of architectures? The paper by @ClementBonnet16 comes to mind:
https://t.co/6eDvG3EZFO
Prover correctness is becoming a central question as AI enters mathematics and software verification. New essay on why Lean's architecture is designed to survive AI pressure.
https://t.co/CXaDTSEWum
@Leonard41111588 Great article :)
"What would a verification platform for the AI era require? A small, trusted kernel"
Would love to hear your thoughts about how trust is built checking this kernel and also how trust builds around the kernel!
https://t.co/bo1lTIVdgW
How is Lean code proved correct? Is Lean written in Lean?
It all stemmed form a wild thought I had: what is there is a bug in Lean? How would it impact al the proofs created with lean?
Reason for the above is I never saw a bug free software.
@Alonso_GD Hello, I'm not a lawyer but I enjoyed this conversation between 2 lawyers on a similar topic: https://t.co/pw5PQAWk3D
Maybe in some scenarios, with the required guardrails, it could be helpful 🤔