Article content: “The US are capitalizing on AI the best”

A lot of assumptions there that no one can actually verify as true right now. If commercialization into rent-seeking SaaS landscapes is the endgame, then yeah, the US is winning the AI race. If individualization, local LLMs, and consumer hardware are the endgame, China is winning the AI race. If it’s something entirely different - if LLMs are the wall and research is what grants the next breakthrough, or if compute and memory requirements take a dive, or whatever; then we have no idea who’s winning the race because that stuff is mostly happening behind closed doors.

In general, the terms “LLM-like” and “human-like” are used all over the place, and in contrast with each other, but they’re never actually defined. It all just seems more vibes-based than anything else.

And “treating the human cognitive process like it’s similar to the LLM cognitive process might lead to a society where epistemics turns into a discipline where plausibility is an acceptable substitute for empiricism” has got to be one of the most ridiculous notions I’ve ever read in a paper (ctrl+F “fifth pathway is epistemic” for the exact quote).

The ones that are already released are, and they're already very good for most purposes and can be fine-tuned indefinitely, includin months or years down the line when processes have been optimized and things aren't as compute-heavy as they are now.

There is zero reference to prior art I could find anywhere in the repo. Unless I'm missing something substantial, this is nothing new, neither conceptually, nor practically.

If you don’t mind an opinionated harness that asks for a pretty specific workflow, but one that works well, use OpenCode.

If you want to spread your wings and feel the sweet kiss of freedom, use Pi.

Misses the point completely. The entire idea is that this enforces in-person meetings, which QR codes do not.

That’s a hallucination. All they did was hide thinking by default. Quick Google search should easily teach you how to turn it back on (I literally have it enabled in my harness).

Siccing Sonnet on a codebase or PR without guidance does indeed lead to worse results than using Opus, though.

This is what gets me every single time. I genuinely don’t think this is a hard realization to come to, and yet, the vast majority of arguments from both sides of the aisle, both proponents and antis, always assume that EITHER you do everything yourself, OR you have the AI do everything for you. If you use AI, you’re DOOMED to never think critically about anything anyone ever tells you ever again. If you don’t, you’re an idiot, because everyone else is using it, and skills and experience no longer matter because everyone can now do everything.

And this is on HN, too; supposedly, a site where experienced engineers, developers, and builders converge; the exact kind of demographic you’d expect to understand such a thing as nuance. And yet, your comment is one of very few. There’s someone RIGHT HERE, a few comments down, saying, verbatim, “it’s a solution engine not a curiosity engine. Getting effortless answers at every turn is the opposite of curiosity.” Treating curiosity as the end rather than the means, as if I stop being a curious person once I find an answer to a question I’ve been asking myself, or as if curiosity is some sort of “temporary status effect” that an answer/solution “consumes.”

And it seems to be worse than just “no one’s thought it through properly.” I’ve literally had someone show a fundamental incapability to understand the concept. I spent a non-trivial amount of effort writing out three comments with several paragraphs about how knowing your knowns and unknowns, and the fact that you have unknown unknowns, is the most important thing in any project, not just when it comes to AI. That these tools aren’t just doers, but also searchers. That they’re pretty much the best rubber ducky that’s ever been created, and that I argue a rubber ducky is exactly what you should be using for in any contexts that don’t have it automate trivial and testable work. The guy refused to read any of it and, after three walls of text, continued claiming I’m “advocating for the LLM to guide me.” There is some sort of deeply instinctive and intrinsically defensive reflex that a lot of people seem to immediately collapse into when the topic comes up, and it seems to seriously impair the ability to acknowledge nuance or concede a single fraction of an inch. It’s baffling.

That is, of course, provided that you pay attention it actually does research. In their current state, LLMs are practically useless for this purpose for the vast majority of users, as no one knows how they work, what to watch out for, what the failure modes look like, and how to keep nonsense apart from facts when both are presented with an equal amount of conviction. That’s not a user problem, it’s an education problem.

One can only pray and hope, I’d say. May they be absorbed by a company with just as much lasting staying power as AOL.

Basically, look at FL Cloud and do exactly what they’re doing, haha. Image-Line is the prime example of a company worth trusting, and they get to reap the rewards of that trust as a result.