AI, history, medicine, photography, art, social economics, crypto, machine learning, sales, marketing, gaming... me like meaningful relations and discussions.
@random_walker In our deep-dive into 20 papers that find errors in ML-based science, we were startled by how similar the themes across these disciplines were. Each field seems to be independently rediscovering the same pitfalls in adopting ML methods. This table shows the results of our survey:
I'm told ChatGPT has been upgraded to be able to solve math problems and that is it the future of math tutoring. But my hit rate is ~0 so far... and I wasn't even trying trick questions.
Not dissing the system at all -- just a PSA.
“I’d rather be a billionaire and not be loved by everybody than not have any money.”
Unreal quote from Charlie Munger in response to criticism about a dorm he designed for UCSB that would leave 94% of students without windows.
If it succeeds, a Silicon Valley plan to turn blood in lab-made human eggs could cancel the age limits on female fertility, supercharge the path to designer children, and open the door for same-sex reproduction. https://t.co/l21LiUCnnL
Traditional methods for helping machines work alongside humans take inspiration from the theory of mind. That might be more information than self-driving cars and other robot collaborators need. https://t.co/wpjzJZEPTe