Kevin A. Bryan

A theorem: AI debate today is a rehash of CP Snow's Two Cultures & the Bluesky-level-hostile response by Leavis. But Snow was right - it *should* be as embarrassing for educated people to not know to Laws of Thermodynamics (or basics of how ML works!) as to not read Shakespeare.

Hiring this year in economics or management? I try to read every JMP on innovation, entrepreneurship, or econ of AI; why not make the list public? Here's 54 candidates on the market this year (link below). Many great papers + NBER Innovation PhD boot camp grads! kevinbryanecon.com/2025innovati...

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Doing my part on CBC's natl econ show to get normies to learn what 'feeling the AI' means. (More importantly, "compute sovereignty nonsense b/c you don't control stack" & "options aren't adopt AI at car plant or don't adopt, but adopt & keep plant or it goes to China".) www.cbc.ca/listen/live-...

What a great day: legends of innovation economics Mokyr, Aghion and Howitt win the Nobel. Joel was a PhD advisor of mine, so need a full article! Included: good & bad explanations of the Indus Rev, Aghion's charisma, influence of Jon Hughes, French fashion houses: kevinbryanecon.com/mokyraghionh...

Kelly et al is one I love pointing people to. For general reading, Editor's Introduction at PhD level, Industrious Land at lower levels. For anyone, Lever of Riches. For people of a theoretical bent, Gifts. For Irish-Americans named Kevin who wonder why the Famine barely appears, Why Ireland ;-).

PS - 1) Yes, we're building this out even further. Everything a student does, it should be as close as possible to a tutor who knows what you want to teach sitting by their side. 2) And All Day TA also *reports back to you* summaries of these conversations so you know where students went wrong!

All Day TA All Day TA is an AI EdTech company focused on higher education that enables professors to build customized AI teaching assistants for their courses. Available 24/7, it provides students with instant, ...

The path forward for higher ed w/ AI is that teaching *complements* AI. Students learn more using AI, and learn *exactly* what we want to teach, instead of just cheating. Can do even better than pre-AI! (And if you want this - alldayta.com, $100 per term. Super easy.)

For students, *I don't care* if they get right answers. Why? If wrong, they have to explain to AI what they were thinking before moving on. Cheating doesn't save time b/c I don't grade on correctness, just whether you work through the quiz! Try it here app.alldayta.com/university-o... 3/4

Toss my lecture audio, slides, handouts into a module. A crazy AI workflow pulls out learning goals. AI then spins up questions (you can approve or not) from your docs plus context on why students might get them wrong. 2/4

I know it's my company, but All Day TA AI-driven quizzes are so good. Student cheat on all take-home work. How do you get them to learn? Do even better than we used to by having them learn *as they do low-staked hw*. Here's use just this week in a Texas univ course - students really use this. 1/4

Wasn't sure this particular one was a good fit for the bsky crowd, hah!

Hah! Yeah, no one really studies "social science", but eg at an engineering crowd talk, I wouldn't bat at eye at an economist or a political scientist saying "as a social scientist, how we should look at this is..." or similar

A much more common term in the US than Europe. Social Science departments and even high school classes called "social science" are very common over here so that self description wouldn't make anyone bat an eye.

Syllabus here: kevinbryanecon.com/Bryan-Progre...

Course AI here on AllDayTA (to be updated weekly as we progress, including with AI-driven adaptive quizzes!): app.alldayta.com/university-o... 2/2

New class on Progress starting tomorrow - I'm amped! Trying to put some rigor from economics, economic history, and philosophy on a topic very much in the air. It will be awesome.

(And first class running slides in my all html browser-based slideshow program - details soon!) 1/2

I cover project setup, version control, my daily very simple workflow, what to use for code (Python or R), what AI is high value, why LaTeX, how to do it easily, why all this matters even for qual projects, and links to exactly what to d/l. My own practices were very sloppy-this is a better way. 2/2

Perhaps of interest to folks with social science PhD programs: at Rotman, we added an experimental 3 session "tech stack" training in addition to the math boot camp. My lecture was "how to do reproducible, open, quick research", aka version control, LaTeX, AI. 1/2 kevinbryanecon.com/techstack.html

PS - An awesome dev of ours was testing the featureand told me "I got it wrong on purpose at first for testing, but then forgot to divide by 2 for expected value until the system brought me there!" Exactly. Imagine this help for the student, and then summed up & reported back to you for each hw!

All Day TA All Day TA is an AI EdTech company focused on higher education that enables professors to build customized AI teaching assistants for their courses. Available 24/7, it provides students with instant, ...

Honestly, it's a really nice system. As always, everything is all siloed: your content is never used for any training nor leaves your course, and is deleted on demand. The whole alldayta.com is $100 per class section per term - a couple bucks per student on average. AI complements our teaching! 6/6

So instead of "here's a hw, half of you go home and cheat, the rest hand it in and get 7/10, and neither you nor the student fully understands what was done wrong", we deter cheating, ensure everyone 'gets enough questions correct' and thinks through incorrect ones, and report back to the prof. 5/6

When the students do their assignment, and get a question wrong, the AI forces them to explain their logic, then uses your lectures, handouts, and so on to try to correct mistakes. We then use another AI system to report back to you precisely where students have been going wrong *and why*. 4/6

That's exactly what we built. Our system already interpreted the learning goals of your course, topic by topic. For question banks, we propose these using our AI, and once you edit and approve, we spin up question banks of varying difficulty. You can manually add, edit or kill these, of course. 3/6

The whole deal with All Day TA is "AI for university classes that is pedagogically-sensible, uses your language, and emphasizes your content only". What does that mean for assignments? Questions at level of your class, covering your learning goals, and giving students feedback the way you would. 2/6

I know lots of skepticism about AI here, but let me show you something we put out which I think is a huge improvement for university assignments. This is "Intelligent Quiz", a feature on All Day TA (www.alldayta.com). Assignments now have tons of cheating + little feedback to us or the students. 1/9

(Btw, anedcotes on "the times they are a-changin'", for the student club booths set up on the main drag, the busiest was the Bible Club - I was equally surprised -, second was the Baking Club. The more political booths were very empty...)

Beautiful Day 1 of school here at U Toronto! Love seeing the students back, and that the undergrads all dress exactly like we did in '98 (I saw 3 Nirvana T-shirts, literally). I'm doing my best to crank up the rigor in my courses - we're taking the role of univs back to '98 also!

But can get clout by promulgating research consensus in an interesting and accessible way, or by using "PhD" to bluster and stir shit up. A well known Princeton historian used his clout to personally attack me here last year for reasons totally unrelated to his expertise. That's bad for academia.

For sure, and that around medicine is much older (BC is a North American center of not getting kids vaccinated - crunchy types plus conservative immigrants, not MAGA).

Definitely some of this but also many of the "influencers" were just very prominent people in the field, who made the mistake of chasing social media clout at the cost of careful rigorous analysis. Agree that there is a demand problem: people liked the clout chasing!

Yeah for sure. The mRNA situation really seems like an RFK specific issue. There is no general argument that mRNA researchers are not doing useful science, either in Congress or worldwide, no? But I think it would be easier to educate the public if trust in universities overall was higher.