In the rush to build with AI, it is tempting to start with the model. Bigger systems, smarter outputs, faster responses. But in practice, the most successful AI solutions do not begin with technology ...

Researchers and users of LLMs have long been aware that AI models have a troubling tendency to tell people what they want to hear, even if that means being less accurate. But many reports of this ...

Here, the key to understanding the brain is not in the error, but the process of correcting the error. Similarly, in his book To Engineer Is Human: The Role of Failure in Successful Design, the ...

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Professional mathematicians have been stunned by the progress amateurs have made in solving long-standing problems with the ...

One of my core beliefs about working in this world where generative AI has the potential to intrude on teaching and learning is that we need maximum collaboration among the stakeholders in that work.

AI has empowered anyone to code, but, as with many technical matters, not actually understanding the fundamentals comes with risks, writes Lewis Liu “Explain to me in plain English” or “tell me how ...

I used to require my students submit AI disclosure statements any time they used generative AI on an assignment. I won’t be doing that anymore. From the beginning of our current AI-saturated moment, I ...