cschmidt

A good deal of the field of Operations Research (OR) is about getting a good solution to NP-hard problems anyway. It is fun!

Send me an email (my address is in my profile)

Send me an email (my address is in my profile)

Send me an email (my address is in my profile)

I’m not sure why you think this is ai slop. I work on tokenization research full time. My name is Craig Schmidt and I have a number of papers in the field. This researcher has done some very impressive work and I’m trying to defend him from the HN dismissive hoards.

There is a serious research community on tokenization, and we are quite interested in this work.

Can I say this seems to be fantastic work. I cloned your repo earlier today after seeing it on the tokenization discord. I know everyone in the tokenization community wants to absorb the lessons of how you got such a speedup. The caching and replacing the regex for pretokenization seem like generally useful ideas.

And screw all the 0.1% haters on here, this is great stuff.

It all depends on where you get your news. You need somewhere that puts things into context so you can understand why things are happening. Personally I really like the Economist. The weekly pace of publication also encourages analysis over “Trump puts tariffs on soybeans” headlines. News for smart people.

It does seem like those 20% are exactly on the nasty side. So even more impressive.

The "Quantitative Display of Information", which I just checked, is using Monotype Bembo. So still Bembo, but a different version.

Those are not global students. Those are people who are already living in the state. Foreign students typically pay the most tuition possible with no financial aid, subsidizing everyone else.

Looks great. I just ordered it. Thanks for the recommendation.

There are equal weight S&P ETFs, which avoid having a handful of stock dominating. However, they do have to do a lot more rebalancing to keep things in line.

I worry how often that is happening already on Spotify.