

I think this is probably the way coding is going to go, assuming the economics of the whole thing works out. Which it might not. But I don’t think you can just type some bullshit in the chat box and expect it to be any good.
I think this is probably the way coding is going to go, assuming the economics of the whole thing works out. Which it might not. But I don’t think you can just type some bullshit in the chat box and expect it to be any good.
thats a long walk and a lot of pre-gaming
for the love of god why are you tariffing china, canada
the one thing they’ll actually follow through on
too busy at the mall smoking
Then their management doesn’t really understand what’s going on. In that case either they can decide to learn to use them a little better or they can set up two of them to have a conversation in the background all day every day to fudge the stats.
I don’t think this is a very good or useful article because it is clearly someone who went into this “experiment” with a negative perspective on the whole thing and didn’t try very hard to make it work. Vibe coding as it stands today is, at best, a coin flip as to whether you can make something coherent and the chances of success rapidly diminish if the project can’t fit into about 50% of the context window. There are things you can do, and probably these things will be incorporated into tools in the future, that will improve your chances of achieving a good outcome. But I disagree with the author’s first statement that using LLMs in a coding workflow is trivial, because it is not. And the fact that they had a bad time proves that it is not. My perspective as someone who has a couple of decades of coding under their belt is that this technology can actually work but it’s a lot harder than anybody gives it credit for and there’s a major risk that LLMs are too unprofitable to continue to exist as tools in a few years.
I agree though with their last point - “don’t feel pressured to use these” - for sure. I think that is a healthy approach. Nobody knows how to use them properly yet so you won’t lose anything by sitting on the sidelines. And in fact, like I said, it’s completely possible that none of this will even be a thing in 5 years because it’s just too goddamn expensive.
“Yeah we have AGI we just prefer to lose staggering sums of money on transformers”
Complete HTX client/server crate (TCP-443 & QUIC-443): $400 USD
Core deliverables: dial(), accept(), multiplexed stream() APIs; ChaCha20-Poly1305; Noise XK; ECH stub; ≥ 80 % line/branch fuzz coverage Description: Think of this as building the “network cables” for Betanet software. It’s a reusable library that lets any app open or accept encrypted connections that look like normal HTTPS on ports 443. Without this, no data can move on Betanet. Every other project will import it.
so you want an http server?
I think you can get decent code out of these things but it’s difficult. The question is what happens first: do we figure out how to use these things, or do we decide the whole endeavor is so unprofitable we stop trying?
Good article. One more point for software engineers being animals: their context windows are likely to be way bigger than most users because they have these things churning on projects that have files and those files have a lot of code in them. Whereas meemaw asking about a recipe uses like 700 tokens. Attention in LLMs is quadratic. Every token “attends to” every other token. So meemaw’s tokens might cost the same pricing wise but they don’t cost the same compute wise.
i guess the low hanging fruit of just throwing more data at gigantic transformers is basically picked clean. At this point they have some newer architectures that make the models a little cheaper to run and they’ve made some scripts that prod it into “thinking” about things differently. So I wonder how they intend to get to their stated goal of AGI without requiring encasing the sun in a dyson sphere.
as if an ai with human intelligence and the ability to learn wont want things
there’s only so much they can do about russian mafia types operating out of cyprus
i cant read the article, where would they prefer the UAE, Oman, and Qatar get their fruits and vegetables from?
the line has taken to ignoring trump and just going up no matter what. The line prefers up.
because you can do more with semiconductors than just integrated circuits. also it just sounds cooler.
i think you can bet on pretty much anything but i dont see anything about trump death. Might be they don’t allow betting on people dying.
How is this different from any other capital-intensive activity? Is forging steel a forbidden technology because it requires a lot of fuel or electricity to generate enough heat?
Like I get that we like to feel as if doing computer things is an independent activity that rogue open source hackers should be able to do but some human activity requires a massive scale of coordination and energy and time. Have you seen what it takes to build a computer chip? If you want something that is even more out of reach than training a foundation model, look no further.
I genuinely don’t see these as unique in the landscape of human technologies. As with all automation the goal for the capitalist is to squeeze more profit out of workers. LLMs don’t change that and they won’t be replacing humans. And as with any technology these are not solely buildable by capitalists. They are a technology that requires inputs at a massive scale. But how is that more limiting than building a laser that vaporizes 300 droplets of mercury per second to expose a silicon wafer to a 13.5 nanometer light? Or building a bridge? Or name any other big project that needs a lot of people and resources…
So I think there’s a good argument about intent here on the part of the capitalist class, but I don’t find the argument about complexity or resource intensiveness very convincing.