samsartor

8 ms·

61.
by samsartor 2y ago
100,000 Einsteins in your basement would be amazing. You'd have major breakthroughs in many fields. But at some point the gains will be marginal. All the problems solvable by shear intellectual labor will run dry, and you'll be bl
62.
by samsartor 2y ago
> We humans have the ability to internalize the world and conduct "what if's" in our heads; we can solve many problems thousands of times faster than natural selection. I don't know for sure whether superintellegence
63.
by samsartor 2y ago
I think this may actually be true in a sense. A lot of good science gets published but never wildly noticed, just because good science is rarely sexy.
64.
by samsartor 2y ago
Sure! I'm just disagreeing that "C is anarchy because anyone at any point can do anything". You can't do anything, Linus will eventually yell at you in an email. To me, the only philosophical difference is that Rust want
65.
by samsartor 2y ago
It is a good video, but I'm not at all convinced that a philosophical "authoritarian" vs "anarchy" difference between Rust and C actually exists. C programmers work through all sorts of constraints and rules on how
66.
by samsartor 2y ago
This was exactly my experience too
67.
by samsartor 2y ago
Overall you guys do an amazing job! I'm just griping XD And actually you are right, it didn't throw at all, just logged a nice warning! Despite me being annoyed that I had to go fix my mistake, the API has caused me 10x fewer issu
68.
by samsartor 2y ago
I've been using rerun for the past year or so instead of tensorboard/wandb/etc for logging my ML training runs. I really like being able to just throw enormous amounts of arbitrary data back to my own laptop without worrying
69.
by samsartor 2y ago
The community has been very supportive of the gccrs ( https://github.com/Rust-GCC/gccrs ) project, which is the main project to write a Rust compiler written in C.
70.
by samsartor 2y ago
I have run into a lot of similar problems writing a state management framework for Rust (wip at https://gitlab.com/samsartor/hornpipe ) and at one point despaired that I would have to abandon Rust and make a whole new r
71.
by samsartor 2y ago
My previous laptop was a Chromebook running Linux+Coreboot. Unfortunately the usual Tianocore UEFI BIOS people use had some bugs in the nvme and keyboard drivers, which I gave up fixing or working around (at the time). Obviously Linux had w
72.
by samsartor 2y ago
https://github.com/mcabbott/Tullio.jl is my favorite idea for extending einsum notation to more stuff. Really hope numpy/torch get something comparable!
73.
by samsartor 2y ago
My favorite has always been "I can't log in when I stand up" https://www.reddit.com/r/talesfromtechsupport/comments/3v52p...
74.
by samsartor 2y ago
Well that is the whole trick. ML models ideally generalize from the training inputs to whatever new inputs show up during inference. For example, a vision model should recognize an image of a dog as a dog even if that exact image was not tr
75.
by samsartor 2y ago
They do participate pretty heavily in ML research from what I've seen. To continue your metaphor, they try to invent as many gold digging techniques as possible which exclusively work with their own shovels and buckets.
76.
by samsartor 3y ago
As a person midway through a PhD, I personally like these sorts of competitions. My dissertation is so all consuming that I have to be able to make fun of it a little bit! Life would just be too depressing otherwise.
77.
by samsartor 3y ago
> Intel and AMD don't use x86 cores but [...] instead translate the x86 code to RISC code on the fly I used to say this all the time and I've been informed that it's something of a misunderstanding. For example, most RISC-
78.
by samsartor 3y ago
In terms of well-written fun I would rank "Murderbot Diaries" very highly, alongside any of the John Scalzi books I've read. For similar levels of ridiculous (and trying-not-to-be-but-kinda-still sexist) look no further than
79.
by samsartor 3y ago
Yah I was thinking of Diaspora a bit when I included the word "few" lol. Although even in that case Egan is willing to hand-wave away technology in one place if it is the most narratively convenient way to move the story around to
80.
by samsartor 3y ago
I do think predictions are an unavoidable side-effect of writing science fiction, but those predictions are almost always in service to those purposes you listed. Stephenson must think nanotech book AI is more plausible as a form idealized
81.
by samsartor 3y ago
I haven't thought too much about Hiro potentially being an unreliable narrator, and it definitely puts a different spin on things! In that case I certainly think the specific design of the technologies in Snow Crash is motivated by tha
82.
by samsartor 3y ago
Yah "mostly" might have been a bit strong on my part. I think Neil Stevenson is capable of both expressing interesting ideas and shoehorning in great excuses for action set pieces at the same time. Certainly any good science ficti
83.
by samsartor 3y ago
I think the framing around these sorts of discussions always annoys me because few sci-fi books (and certainly no Neil Stephenson books) are primarily written as predictions. They are written as stories, with technology serving narrative ab
84.
by samsartor 3y ago
This is still pretty idealized. In my experience the pytorch abstraction leaks _constantly_. In particular, any interesting ML project probably pulls in at least a few dependencies with custom pytorch extensions somewhere.
85.
by samsartor 3y ago
Reflecting a little bit more I don't think it was replit's fault, per-say. But that change should have been made together with a larger adjustment to the program. Like adding a class/unit in the style of [the missing semester
86.
by samsartor 3y ago
At my old university one of the intro classes moved all their students to Replit. Which might have been fine in isolation, but I think it created a year of students who struggled endlessly to use gcc, Makefiles, debuggers, or local tooling
87.
by samsartor 3y ago
Looks more like 4 s/iter which is actually quite good for CPU inference in Automatic111. It is an apples-to-oranges comparison to the LCM models used by fastsdcpu (since those can get away with fewer sampling steps) or to the quantized
88.
by samsartor 3y ago
This is a bit of a spoiler, but if you cheat your way through the videos it does go all the way to a trillion.
89.
by samsartor 3y ago
I helped make a really cursed RISC-V version of this for a class project last year! The idea was to first compile each program to WASM using clang, and lower the WASM back to C but this time with all opcodes implemented in terms of the RISC
90.
by samsartor 3y ago
My whole job is generative AI research at this point, so I am obviously biased. And yes there were quite a number of technical points that fall flat for me, like the stuff about hidden layers, the comparison with photography (you can color

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