What cyborg work looks like as an academic, by Robert Ghrist, a mathematician and associate dean of undergraduate education at the University of Pennsylvania.

It’s worth stating this simply: For literally anyone in the US Govt from 1945 to 2025, Signalgate would require an instant resignation—and a criminal investigation. It would be a matter of personal *honor* to resign. The fact Mike Waltz & Pete Hegseth are choosing to fight it out is a terrible omen.

Tariffs are on/off/paused, and are targeted/universal, applied to our friends/foes/everyone, starting sooner/later. They'll be in place for the short/long run because they are a useful policy/bargaining chip, and will solve our problem with fentanyl/trade deficits/manufacturing/revenue.

OpenAI now has 400M weekly users. I think the conversations that I still see that AI overall is not useful or just a bubble are not reflecting reality.

There is a lot more importance now in discussions of how to steer the use AI to improve things (& mitigate risks) than arguing that it doesn’t work

We probably should be a lot more suspicious of video we see online in the future (but probably won't be)

What percentage of students are you willing to falsely accuse of cheating with AI?

There is a trade-off between false accusations and detection rates for AI. At a 10% false positive rate, detectors find 80% or less of AI content. At a 1% rate most find 60% or less.

Don’t trust AI detectors!

A note for instructors assigning research projects (a very effective assignment & key to academia in many ways). You need to understand how far Google & OpenAI's Deep Research tools compromise this work.

You cannot just let learners use AI and assume they will need to fix flaws. It is very good now

Two order of magnitude cost reduction in a month for reasoning models from OpenAI (also means large reduction in energy used to run the model)