Recent submissions

Comment · 1 month ago
It's just a lot faster at hammering it out than me pound for pound, and I can quickly rattle off via voice-to-text exactly what I want much faster than I can type all of the code (especially when across a few different files), in a huge majority of tasks I perform. It's also especially good at debugging by brute force quickly and at scale meaning e.g. it can start desperately bisecting diffs to find the source of a bug 10000% faster than I can.
Comment · 3 months ago
Disagree with so many assertions put forth here. You don't _have_ to turn you brain off when coding with an LLM. It's not some intelligence dementor. If your brain turned off while you were vibe coding thats honestly just a you problem and I wish everyone would stop boogeymanning an obvious improvement in the ability to better yourself just because a lot of people don't choose the betterment route.

I've never been more informed or understood more about my code, pipelines, and stack than now- and its 100% due to AI reasoning about my projects, and me making an effort to learn.

Comment · 8 months ago
I agree- I'm currently trying to learn how I can embed a fine tuned tiny model into my c++ game so it can provide a narrative in prose of certain game-event logs. It needs to be as tiny as possible so it doesn't take resources away from the running game.
Comment · 8 months ago
Sounds similar to buying a 3D printer hehe
Comment · 9 months ago
Chess on M series Macs has the same issue. Even level 1 is easily 2000+ Elo because of the same thing.
Comment · 10 months ago
GN is a well established, popular and independent consumer hardware reviewer that has only a few peers on par with them in the space. Hardly some "random tech influencer".
Comment · 11 months ago
There is mention of desktop applications in their getting-started docs; it seems well within the intention of the maintainers to me.

https://eliemichel.github.io/LearnWebGPU/introduction.html

> Yeah, why in the world would I use a web API to develop a desktop application?

> Glad you asked, the short answer is:

    Reasonable level of abstraction

    Good performance

    Cross-platform

    Standard enough

    Future-proof
Comment · 1 year ago
You can be your own AI provider.
Comment · 1 year ago
I just spent a lot of yesterday tweaking a docker image with xfce and vs code so I can just let codex go full access mode without too much worry in a throwaway sandbox. The agent runs similarly-namespace-constrained and without sudo. I think it's a relatively safe middleground- do you really think container escape is still a big deal here?

Finally getting this setup also allowed me to very quickly troubleshoot what was breaking my build in the codex cloud hosted container which obviously has even less risk attached.

Now I'm juggling and strategizing branches like coding is an RTS game... and it feels like a super power. It's almost like unlocking an undiscovered tech tree.

Comment · 1 year ago
I think that completely discounting the potential of new emergent capabilities at scale undermines this thesis significantly. We don't know until someone tries, and there is compelling evidence that there's still plenty of juice to squeeze out of both scale and engineering.
Comment · 1 year ago
What is preventing any of those mentioned card vendors from integrating with FedNow either directly or via some abstractive layer through another entity? I don't understand why the answer would be 'no for these reasons'.
Comment · 2 years ago
If that's the case perhaps you could, I don't know, state that up front and save everyone some time...
Comment · 2 years ago
Cool link, reply more if you find them!
Comment · 3 years ago
Hey I just wanna say that I'm really glad that you personally haven't had to go through the hell of cardiovascular/heart damage from this, but you also shouldn't use your anecdote to undermine others' extreme sickness. You are ignorant to experiences not your own.

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