151 Followers
242 Following
383 Posts
Currently into alternative forms of evaluation in computer vision and NLP. Assistant professor of computer science at Stonehill College. Former data scientist, former NSF graduate research fellow, former music major.
Websitehttps://samgoree.github.io/
PronounsHe/him

The current and projected impact of AI and formalization on the practice of mathematics is analogous to the impact that the automobile had on the evolution of cities.

Before the introduction of the automobile, city streets were narrow and optimized for humans, horses, and carriages. When cars, buses, and trams were introduced, they were undoubtedly faster and more powerful than any prior form of transport; but they would clog the roads and crowd out pedestrians.

Over time, new roads, railways, and freeways were built for the exclusive use of mechanized vehicles, enabling rapid and efficient long-distance travel; but this came at the cost of urban sprawl, the degradation or destruction of once-walkable communities, traffic congestion, and significant environmental impacts.

It was only belatedly realized that to resolve these problems, it was not sufficient to simply make automobiles faster, more powerful, or more energy efficient, or to bulldoze all the old roads and networks to make way for new ones. Thoughtful urban planning, as well as the development of social and legal rules on how to manage traffic, were necessary to allow both pedestrian and automotive transport to co-exist in a manner that retained the benefits of both. (1/5)

I know my life got much better and more productive when I started spending more time thinking and less time running lots of experiments.

It's funny to see users of AI coding agents adopt the deep learning grad student workflow, where most of the thinking is automated, but you are called into action whenever the code finishes running to review the results and set up the next experiment.

This is a really unpleasant way to work, if only because it gives you "free time" but you have no control over when it begins or ends.

SIGCSE TS posted a recording of my recent keynote, "Love, Learning, and Computing Education". If you haven't seen it, I hope this live version is a helpful guide for navigating this era of hate, at least in our little world of computing education: https://www.youtube.com/watch?v=FVrnZh_w-hY
SIGCSE TS 2026 - Thursday Keynote: "Love, Learning, and Computing Education" - Dr. Amy Ko

YouTube
If it's not, and the government is being earnest, they just handed Anthropic the best marketing they could have asked for, especially in their attempt to win over anti-AI liberals.

So the whole Anthropic thing with Hegseth and Trump is some kind of publicity stunt, right?

They've been spending a ton on advertising recently, especially through nontraditional means, and this kind of news incident gets them exactly the kind of publicity they want.

Here's the link if you want to read our poster proposal https://dl.acm.org/doi/abs/10.1145/3770761.3777233
If you ever wonder if your research idea is too simple or obvious to get published, submit it anyway. Worst case they reject it. Best case, everyone who walks by your poster instantly understands what you were doing and why.
The really fun part of this poster for me, at least, is that I could explain it to anyone in a sentence. Every conference talk/poster I've done in the past has been complex and niche, so only a dozen people are even interested, and it takes a few minutes to explain even to those people.

I had the opportunity this week to present a fun little poster at SIGCSE.

We took data structures students on a field trip to the library to help them better understand how the library functions as a data structure, and the algorithms that librarians use to maintain it. The activity worked great!