On the NBA and economic theory: dynamic mechanism design tells us how to redo the draft. A good rule of thumb (due to Reny?) is that stochastic mechanisms like draft lotteries usually aren't best. How to prevent tanking while still having worst team get top pick? Simple! 1/x
Theory is beautiful. Myerson Revelation: look only at mechanisms that get teams to reveal quality "type" (we/ dynamic caveats!). Better teams will get some information rents else they tank. Let's find mechanism with no tanking that maximizes prob worst team gets top pick. 2/x
Let V be value of winning it all, W<<V value of getting top pick, p(n,w,l) prob of winning it all after n games. True quality is random walk over season from baseline unknown to mech designer. Costs 0 to give up in a game, c to try. If both try win prob based on true quality. 3/x
Immediate that variance in p grows over season, so incentive to tank grows also. Also then immediate that early wins and losses more informative about true quality since in game 1 worst team still has "chance" to win it all. 4/x
Optimal mechanism: get points for each loss. In game 1, a loss is worth 1 Draft Point. As season continues, loss is worth less, becoming negative late. Draft position based on Draft Points. Everyone wants to win late in season. Early season used to handicap truly bad teams. 5/x
Would make for some very exciting late season games (in NBA and other sports). Your dreadful team will need to go full out the last week or they will lose the top pick, not gain it! A Dallas Mavericks 2025 strategy would have been brutal for them. 6/x
Cool thing is that w/ a bit of econ theory you can actually *prove* the optimality of this rule. Mechanism design beautiful b/c we have theoretical "principles" that make "what is the best way to do X among any way including those I didn't even think of" a tractable problem! 8/8
@BillSimmons @ZachLowe_NBA @mcuban A mechanism perhaps of interest re the Draft ^
(btw, there are similar ideas to award 'draft points' only after a team is eliminated. PWHL does this. Not bad - gives incentive to try hard, weights teams who were bad early by giving them 'more games' to accrue points - but mechanism above is better on incentives and fairness.)
PS - If you want to improve your econ intuition, "fairness of worst team gets best pick" depends on avg. performance, "try hard in every game" depends on marginal incentives, with transferable utility you can solve both problems more cleanly than w/ randomization.
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Not great for my comparative advantage, but from some experiments we have done at Rotman, I am totally convinced the vast majority of research that doesn't involve the physical world can be done more cheaply with AI & a little human intervention than by even good researchers. 1/7
Brainstorm interesting question, find all prior lit on this, grab necessary data inputs if any and clean/merge, write theory or statistical model, check extensions, prep writeup, prep replication file. This is 90% of work for papers of that type. What can't AI help with? 2/7
I don't mean things like o3 Deep Research. That is a dollar of compute! I mean two thousand dollars of compute, using multiple models, with an agent/tool use like Claude Code built for this. Models going back and forth with other models, querying human when needed. 3/7
Back to econ in a second, but let's have fun: how about 50 correct moderate takes: 1) Ukrainians are heroes who suffered a ton. 2) Putin obviously covets Georgia and the Baltics also. 3) EU not in talks because they basically have no hard power; France even lost the Sahel. 1/x
4) The far right European parties are bad. 5) Pretending parties that win state and EU elections, and are in govt in NL and AT and IT, aren't legitimate will not end well. 6) And in fact EU & UK speech laws not on side of liberty. 7) (but EU food and kid culture is better!) 2/x
8) Europe's demographic crisis is really severe; not sure what the solution is. 9) Engineer training esp in France, Italy, Switz is excellent. 10) That talent should produce better econ outcomes, so econ policy must be dreadful. 3/x
France just held a big AI summit. They want to build up their tech sector. Global prosperity would be enhanced by this. But I can't tell you how insane EU regulation is here, and how it inadvertently enhances market power of big US firms. Let's look at GDPR, for example. 1/x
You may think this is just "accept cookie" banners and rules so, like, your personal medical information isn't sold. Not at all. Let's imagine you are a tiny US software company, doing a hundred bucks a month of sales in Europe. What's required? 2/x
First, you need policies for every piece of identifying data you collect. Emails, IP addresses, anything. Those cookie banners? Mandatory. There are six bases on which you can collect data, with different rules. 3/x
Curious about the wide range of reactions to o3 Deep Research. I went through some cases where people found "bad results". I think I understand what is going on - part of this is just bad UX choices by OpenAI, part a misunderstanding of what the model is for. 1/x
So o3 is a reasoning model - an LLM. Deep Research grafts web search, python tools, and a fine-tuned model to use those tools to gather additional data on top of o3. It can't read gated articles, has a mediocre OCR for public pdfs, can't read dynamically generated webpages. 2/x
For "pure fact", a raw LLM is best. For logical or mathematical reasoning on a single question, again, a frontier LLM: o3 does incredible on really really hard math benchmarks. Deep Research adds outside info from the web search. 3/x
The new OpenAI model announced today is quite wild. It is essentially Google's Deep Research idea with multistep reasoning, web search, *and* the o3 model underneath (as far as I know). It sometimes takes a half hour to answer. Let me show you an example. 1/x
So related to the tariff nuttiness, what if you wanted to read about the economics of the 1890 McKinley tariff, drawing on modern trade theory? I asked Deep Research to spin up a draft, with a couple paragraphs of guidance, in Latex, with citations. 2/x
How good can it do literally one shot? I mean, not bad. Honestly, I've gotten papers to referee that are worse than this. The path from here to steps where you can massively speed up pace of research is really clear. You can read yourself here: 3/xkevinbryanecon.com/o3McKinley.pdf
The tariffs are insane; everyone knows that if Congress voted in secret, Senate would be 95-5 against. This whole situation is based on the ignorance of one man, and the lack of fortitude among Congress to push back. It will harm all four countries. So what should Canada do? 1/x
Facts: most N. America trade is intermediate goods, Canada is (much) more reliant on US intermediate than US is on Canada, "negotiation" tough b/c the policy is bad for the US as is (hard to threaten someone who isn't even maximizing US welfare!). 2/x
Obviously tempting to say "Fuck this guy; on Tuesday we are cutting off electric supply to the NE, and banning oil exports until tariffs removed, and also banning every uniquely critical intermediate output from leaving." But... 3/x