Sure, but on the other hand what happens if Gen AI bursts after all of this infra development?
- price of electricity goes wayyyyy down
- stigma around using atomic elements goes down
- price of excess available compute goes wayyy down (or the second hand market becomes side project budget range)
With excess electricity we can do a lot of things like Carbon Capture, water purification, power hadron colliders, replace gas stoves, etc. and with price of computer going down it makes more sense for certain industries to double down on tech. Essentially we are able utilise cheaper electricity + compute to patch over problems. On the other hand if the AI tech bros’s magic konch shell can lead innovations then I wouldn’t mind that either.
I run a basement compute server[^1], what’s Nvidia gonna do? Not let me buy their hella expensive H100s? At least now I get to learn ML skills without my failed experiments exponentially scaling on the cloud.
lol I just remembered about this last night [1] while pushing some code on GitHub. Idk what the long term goal of this project is. Will they update the catalogue as time goes on or is my bad college code stuck there?
If we’re talking about model distillation[0] I don’t think the student can ever be better than the teacher as optimising for speed and smaller model sizes inherently means that there will be precision loss. Even if the student is as big as the teacher, there is still data loss.
> The language is called Go. The "golang" moniker arose because the web site was originally golang.org. (There was no .dev domain then.) Many use the golang name, though, and it is handy as a label. For instance, the Twitter tag for the language is "#golang". The language's name is just plain Go, regardless.
AGI feels like a marketing term to me now. I mainly see it as just research into how can we improve and scale the current model architectures we have to be better than the last one
I wonder if part of it was being able to work with extension devs to see how to better integrate extensions on mobile. I suppose one way to test that would be to see if the Firefox extensions api improved for mobile
Could be that it’s really easy to map a random noisy latent into a picture of a galaxy? Prompts like this also usually ask for “more” or “bigger” and I would say a galaxy is one of the bigger things that we can visualise.
If you code for a living then it’s still helpful as it’s just leetcode but slightly more engaging as you could have peers solving the same problem as you to discuss with. Plus if you code for a living, “little meaningless challenges” are less of a time sink than a whole side project for when you wanna dip your toes into a new language/system/design pattern.
I feel like small puzzles like this help me get into more of a live to code mindset, which I personally enjoy more than thinking of my life as code for a living.
Not everyone runs Linux systems like a Sys Admin. Some folks use it to play games on their steamdeck or to give live to older hardware that can’t run windows/osx anymore. Others don’t even care what they’re running as long as it can open chrome.
BSOD is very clearly an end user feature for folks who don’t have experience debugging kernel panics. If the QR code can generate a copy passable stack trace of the error the it could help make linux more mainstream and easier to debug for non technical folks.
- price of electricity goes wayyyyy down
- stigma around using atomic elements goes down
- price of excess available compute goes wayyy down (or the second hand market becomes side project budget range)
With excess electricity we can do a lot of things like Carbon Capture, water purification, power hadron colliders, replace gas stoves, etc. and with price of computer going down it makes more sense for certain industries to double down on tech. Essentially we are able utilise cheaper electricity + compute to patch over problems. On the other hand if the AI tech bros’s magic konch shell can lead innovations then I wouldn’t mind that either.