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> And for another, in the process of seeking to maximize its gain from technologies discovered in its labs, the University of Chicago now does more than participate in licensing. It actively invests in start-ups by its faculty, millions of dollars in dozens of investments. Quite apart from the fact that these investments have mostly been a bust, the practice raises serious questions. Can a university make rational decisions about the value of a given employee when it co-invests in commercial ventures with that employee?

> And more seriously, where does the money come from? Is the university driving down what it spends to educate its own students so that it can use unrestricted funds to invest in startups? Or is the university functioning as a kind of tax-free pass-through organization? Does it receive third-party money that it invests as a tax-free enterprise, to the benefit of other investors in the same start-up?

> Spending as little tuition as possible on educating students, and (instead) investing in start-ups ... This is why I say the University of Chicago’s leadership and trustees run it as a tax-free technology incubator. All of which raises the question, whether an operation of this kind deserves the status of 501(c)(3) charitable organization.

The guy is just walking us through the process of analyzing the dataset. He’s not really making any conclusions at this point - it’s like a technical tutorial for journalists.

Bruce Sterling’s “Heavy Weather” describes (offhandedly) a post-agricultural ecosystem where only herbicide/cold/heat-resistant weeds remain. People then breed genetically-engineered livestock that can convert the weeds into more useful substances.

It elevates Google itself. “It’s a place where people like Jeff and Sanjay work!” Not saying that was the main motivation for producing the article and definitely not trying to question the protagonists’ achievements.

He didn’t generate the music himself, and likely worked with others on setting up the bots (the article mentions co-conspirators). On the song generation:

> This led Smith to pivot to AI-generated music in 2018 when he partnered with an as-yet-unnamed AI music company CEO and a music promoter to create a large library of computer-generated songs. The district attorney announcement did not specify precisely what method Smith used to generate the songs.

I wonder what company he used and whether they can be liable too.

But comments go out of date, and the compiler doesn’t check them against the implementation. To document + enforce the intended functionality, use tests.

> add a deterministic offset to each user/session window so that no large group of rate limits can expire at the same time

Did you mean non-deterministic (like jitter)?