midnightbobarun

This is extremely cool :D

I assume SpaceX does it because they figure it's a good source of revenue, and it means they can keep another thing in-house instead of relying on Anthropic or OpenAI for their AI needs.

As for why anyone else would want it: I've found it's a good model for coding, and it sometimes catches bugs that other models (especially open source models) don't always spot.

So contributions to OpenJDK have to be hand-written, while internally, Oracle uses AI generated code... I guess the logic is that employees who use AI generated code (theoretically) review their code better? The whole thing still seems a little strange.

I think Meta might have made a mistake by not offering a free tier like Google did when they release Gemini CLI back in the day, or even how OpenAI lets you use Codex (or whatever it's called now) for free with a monthly usage limit for free plans. It'd be a great way to get people into the Muse ecosystem, and they could tighten usage limits to "encourage" people to get a paid plan.

It's a level of badly written that makes me think it could be a human, or it might just be an LLM that writes differently from a typical ChatGPT article.

It is slop though, either way.

Considering the article starts with "Cooking a steak requires almost no skill. Put it in a hot pan", I think I see the root of his problem. Pan searing a steak only makes sense in a small number of situations: you have a leaner cut like filet mignon, you want precise temperature control to achieve the Maillard reaction, or you know none of these things but just really like stinking up your kitchen and splattering butter everywhere for the aesthetic and the olfactory experience. For most cases, you would be better off with a grill rather than a pan.

Now maybe you're not knowledgeable about steak, and you're not sure whether the cut of steak you bought would be better off pan seared or grilled. Is ribeye better in a pan or a grill? That depends on whether you want it more smokey or more buttery. Ask an AI and tell it how you want it to taste, and it'll tell you the answer.

His metaphorical steak machine would produce better results if he had simply asked "I want a steak and I have this specific cut and I want it to have this kind of flavor, how do you suggest I make it?" rather than "cook steak on a hot pan, make no mistakes."

TL;DR: Tell the AI what you want and then ask how it for a recommendation of how to do it. You don't have to "understand software." You only need to understand how to ask the right questions.

DeepSeek was such a workhorse... I've had some pretty decent results with Hy3 and Nemotron too, but they're not the same. I'll probably have to switch to them (or find other alternatives) depending on how much DeepSeek raises prices.

Huh, this is actually really interesting (and the analysis for some of the sites answers some questions I'd randomly think about sometimes)

K3 releasing as open source right at the same time that people are criticizing Opus for questionable performance (there's even a thread on HN about Opus 5's problems)... this is such a flex.

normal person: "I like to yap."

Sir Baroquesly Yappington, Esq., an intellectual: writes a whole article about it

Take a vacation, and after a few days, think about what your mind naturally drifts to when there's nothing that you have to do in particular, and no special obligation. Maybe that will help point you in the right direction.

Nvidia benefits no matter what because their hardware is being used. Microsoft and Meta benefit by making sure that the gap between "Anthropic/OpenAI" and "everyone else" doesn't widen, or they'll be hopelessly dependent on those frontier labs.