3,147 karma · joined March 12, 2021
Neil did not make sufficient progress at Texas. Then he did something weird, where he wasn't ready to defend yet got a postdoc at (iirc) Princeton. Princeton had to rescind the offer because you (ahem) need a doctorate to be post doctorate. Then he got into Columbia's program and finally finished.
He had a lot of hobbies and interests other than astronomy, and he is actually a very smart guy, but it took him a bit longer to get his shit together. I think he's found his calling and is quite good at he does.
As an American, I did not expect my government to talk about relativity in a press release.
GPS satellites already correct for this.
There are way more use cases out there than a simple web or mobile app.
In the DOS days, dynamic memory allocation was to be avoided if possible. Machines did not handle running out of memory gracefully. Often we'd unnecessarily fix the size of things to avoid run-time uncertainty.
A scientific Fortran code I once saw allocated all of the memory it would need at the beginning of the code in an array called 'a'. Then from there it would dole out portions to other parts of the program using common blocks.
"Part of why this paper took so long to write is that the file was called boring.tex."
I've also heard in a recent talk that the optic nerve carries about 20 Mbps of visual information. If we imagine a saturated task such as the famous gorilla walking through the people passing around a basketball, then we can arrive at some limits on the conscious brain. This does not count the autonomic, sympathetic, and parasympathetic processes, of course, but those could in theory be fairly low bandwidth.
There is also the matter of the "slow" computation in the brain that happens through neurotransmitter release. It is analog and complex, but with a slow clock speed.
My hunch is that the brain is fairly low FLOPs but highly specialized, closer to an FPGA than a million GPUs running an LLM.