Oh man so I bought three books on the power dynamics of philanthropy, but hilariously, I accidentally bought "Winner Takes All" (a trashy high school romance novel) rather than "Winners Take All" (a scalding critique of the upper class and capitalism run wild). Oops
Time to find one of those little free libraries to drop the trashy high school romance novel
Definitely not a critique of the upper class hahahahaha
This one looks rather good and correct, though
I meant "the correct book" not "the correct take" lol
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It still confuses me that in spaces in which humans can often generalize from just 2 or 3 examples, it's considered successful when a software system does so from millions of examples
Nevermind robustness issues
It's true that, you know, reading the entire internet is something that computers can do better than us. But why should they have to? I feel like the metric for success is just wild
On the "we" versus "I" debate about my thesis, I ended up going with this:
- "I" for things I did,
- "we" for mathematical handholding, and
- "Nate" and "RanDair" and so on for things my coauthors did.
Nonstandard I guess, but I deliberately designed projects to decouple work.
So it is actually very easy to point to the parts that my coauthors did. And for the things that we really did design together, I will add a note about this in an early section at the end of the introduction, along with complete authorship statements.
I'm going to use the knowledge package that @16kbps recommended to introduce those authors and link back to the full authorship statements when I mention their names in later chapters. Credit is extremely important!!!
Writing my thesis, I'm just baffled by how well I subsumed my own work. The PUMPKIN Pi paper (arxiv.org/abs/2010.00774, PLDI 2021) completely subsumes DEVOID (dependenttyp.es/pdf/ornpaper.p…, ITP 2019). DEVOID just ends up being an example in my thesis. I'd be mad if anyone else did this.
Perhaps even more amusingly, in December 2019, I had the idea for PUMPKIN Pi, but also thought it was something I'd never be able to do without help from external experts. I didn't really do it deliberately in the end, either, so I'm surprised it happened at all.
For real though, happy lesbian visibility day. A while back I did a blog interview series about LGBT computer science researchers. Eventually my life got too hard to continue it. But here's an interview with Deb Agarwal from back in the day.
If anyone wants to take over this project and start it up again, I'd be happy to pass along the knowledge I gained in the process, and give you access and so on.
Back then I really felt that there was a Don't Ask, Don't Tell culture in CS research. When I got the NSF Fellowship, suddenly people knew I existed, and I immediately decided to use this to try to fight that culture. I don't know how much it helped, but I really hope it did.