Micah Warren reposted
Micah Warren
The Complete Mathematical Works of Theodore J. Kaczynski, formalized in Lean 4 (someone had to check his work) github.com/micah541/kac...
New Episode with Scott Armstrong. AI and math, Lean, Navier-Stokes open.spotify.com/episode/3ntx...
Interesting, good? Good for people who teach calculus courses Good to see someone white-knighting for university of Oregon It will be interesting to see optics if they end up laying off tenured faculty while building $700 million a new building app.lookouteugene-springfield.com/story/310099...
Nobody ever said there's too many podcasts about math youtu.be/bV74Wt0XkWU
Took NYT a minute but here we are An N.Y.U. Mathematician Clashed With OpenAI Over a $1 Million Proof www.nytimes.com/2026/09/10/s...
Micah Warren reposted
OpenAI resolution of Navier-Stokes t.co/hAU1jj6LDe
Want a lucrative career? Learn to math. maisi.org
Quick chalk youtu.be/zWq8tv564ZM In which I discuss the recently offered counter example to the Caratheodory conjecture
I mean, yeah, sure, there is some deep anthropological thing going on when humans are communicating with other humans but also yesterday I had one AI agent communicate to another AI agent and information was communicated and acted upon
A point I frequently make when talking about chatbots is that their output only seems to make sense because we are making sense of it. And worse, we can only do that sense-making by projecting a mind behind the text, something we do reflexively. >>
Micah Warren reposted
It's not great that all the discourse is about the discourse
Gonna briefly do an AI take: it used to be possible to have interesting discussions about AI here, and it's got progressively less so. You can't just think AI is bad, or overhyped, you've also got to subscribe to a very particular worst-case scenario about *how* it's bad and how bad it is.
Easier for senior people to just trust but still
"We're all worried," as what it means to do research (in my field, Theoretical CS) seems to be shifting, and shifting fast. What to do? Senior researchers must lead by example, knowing that not everything will pan out. What I'm suggesting below may not work everywhere, but here's my own advice: 1/