It was embarrassing a year+ ago when much of this technology barely worked at all.
If you did not perceive a step change in model capabilities in late 2025, it's possible you are working on problems that are just too hard or not well aligned (e.g., arts and crafts). If you are working on software and need to move the occasional mountain, it's really hard to argue with the capabilities of contemporary models and harnesses.
This space is evolving rapidly. Faster in some areas than others, but you should still keep an open mind and adapt to the new realities as they emerge. Wishing for a thing to fail can blind you to more opportunities than you would probably be willing to reject if they were presented directly.
> Could just be a surge in enthusiasm after 10 years when all we had to be excited about was a new Javascript framework.
No. I distinctly remember HN being fairly skeptical of LLMs the way they were sold back in 2023. Then, the astroturfing began happening gradually. First in the comments and then in the posts.
Yeah, I was very skeptical and now I've drank the kool-aid. Got multiple parallel cloud agents with independent loops making PRs and me reviewing them. AI is also reviewing PRs and sometimes even catches useful things.
LLMs in 2023, from what I remember, were slightly better auto complete. It's pretty different now.
Yeah but that's just how things have gone. My enthusiasm about a new JavaScript framework is practically zero these days compared to several years ago, and I do genuinely use AI for all of my coding especially since I developed a health issue that prevents me from typing
Or, you know, many people genuinely find it exciting to see AI pumping their long overdue side-projects, just like many people once found bikeshedding their frontend frameworks exciting?
Funny, I was told by HN commenters that worries about AI risk are just a clever marketing strategy on the part of OpenAI and friends. I wonder why they would be working so hard to push back?
> would have to be state law so the president can't pardon them
Sure. Based on cursory analysis, California (B&P § 17200 + § 17941), New York (§ 63(12)) and New Hampshire (RSA 664:14 / 664:16 + RSA 358-A) seem to be good places to start. Worst case, we get a public record of who paid for what under what pretences.
>But there don’t seem to be any contributors, or at least not human ones. I ran every article on the site through Pangram (the AI detector that credibly claims a near-zero false-positive rate). Of the 94 articles, 69% came back flagged as fully AI-generated, with another 28% flagged as partially AI-generated. Only three articles were classified as human-authored.
The only reason OpenAI wants to give 5% of the company to the US government is so they become 'to big to fail'. They dont give a s** about the US, its just a way to get funding when the bubble bursts
This place average post went from “look at this new javascript framework” to “I just became 100x more productive with AI” in the last 3 years
If you did not perceive a step change in model capabilities in late 2025, it's possible you are working on problems that are just too hard or not well aligned (e.g., arts and crafts). If you are working on software and need to move the occasional mountain, it's really hard to argue with the capabilities of contemporary models and harnesses.
This space is evolving rapidly. Faster in some areas than others, but you should still keep an open mind and adapt to the new realities as they emerge. Wishing for a thing to fail can blind you to more opportunities than you would probably be willing to reject if they were presented directly.
Your analysis by account age might be telling
No. I distinctly remember HN being fairly skeptical of LLMs the way they were sold back in 2023. Then, the astroturfing began happening gradually. First in the comments and then in the posts.
Edit: ok, i guess this account is from 2024, but been around a while. I guess can’t defend myself like this :)
LLMs in 2023, from what I remember, were slightly better auto complete. It's pretty different now.
Sure. Based on cursory analysis, California (B&P § 17200 + § 17941), New York (§ 63(12)) and New Hampshire (RSA 664:14 / 664:16 + RSA 358-A) seem to be good places to start. Worst case, we get a public record of who paid for what under what pretences.
What's the actual fraud angle? Non disclosure?
How credible is this credible claim?