Do a few bad grades really harm economic outcomes, though? Educators took a hard stance against AI rather quickly.
Outside of delusional grifty startups, the broader corporate world is only using copilot for taking meeting notes and (sort of) entertaining the notion of non-devs writing (and not maintaining) their own experimental janky apps where impact is low.
Outside of all the shit-stirrers on HN and clueless bubble social media, I don't see LLMs making a difference. In fact, the fearmongering is at this point insulting to the intelligence of the people who are supposedly helpless against big bad AI.
I've been hearing this retort every year. The only difference this time is you're not a green account.
If things have actually changed, you wouldn't be begging the question. LLMs, as popularly used, are still just a new kind of search engine for natural language answers to natural language questions. They're portable in a way, too. That's really cool tech, but not a revolution. It's pretty underwhelming compared to previous decades of change. It's a lot more error prone too, since it's a mudball of stats.
If we filter out the unsubstantiated fearmongering, all we've got left to discuss are NIMBY rants and geopolitics. At that point, we're not even talking about AI anymore.
>If we filter out the unsubstantiated fearmongering, all we've got left to discuss are NIMBY rants and geopolitics.
I'm sorry, what?
I'll put it to you again, you sound like me after playing around with gpt 3.5. It was interesting, but it wasn't good. There were still questions as to whether scaling would persist. My doubts were pretty much obliterated. LLMs haven't been mere text completion for a while now. Heck, even a model small enough to fit on my 3090 is now shockingly competent and useful. Does claude sometimes go off on weird tangents making me reel it in? Yeah, but it's genuinely great in present form, and it's the worst it'll ever be.
You're welcome to your opinion. It used to be mine too, but I disagree now. I find pretty much every AI benchmark has shown forward progress, some with non public datasets, and some things have gotten scarily better.
You're also welcome to put your two cents in, but your replies sound identical to the bots and throwaways of last year and the year before that.
Every time it's the same agenda: trying to keep up appearances of meaningful engagement. In reality, I'm the only idiot willing to engage anymore and the opinion has always been majority negative on practical applications of LLMs from day one. It's not like anyone who frequents HN was blindsided by the initial release of ChatGPT like the rest of the public. The negativity has only grown since then.
There are important niches for LLMs, but they don't really make money without bigger ideas. I am very happy with the results for the broader topics of natural language processing and accessibility. Software is now easier to use and write. People have more agency over technology in general.
These are massive leaps. They are still tiny hops compared to what people's expectations were. That's only a failure of marketing, and a testament to its power even when botched. The end result is the same: the public yawns big and takes the almost invisible results for granted. Talking to a computer finally works like they expected over 20 years ago. Talking to a computer still sucks though. It's an entirely new genre of computer error.
I feel similar, but haven't seen a "film" worth a review in ages. It's always the same problems: glacially slow pacing, one-dimensional characters, dialogue and plot insist on injecting politics or memes (that are probably stale by the time it's released), etc.
Do you have any recommendations that aren't that? I just want to watch a real movie made in the last 20 years.
You're right. I wouldn't bother with a review for any comedy. A sense of humor is very fickle and you usually know if you're going to like it ahead of time based on who is involved.
I guarantee your specs/testing are either inadequate and/or you're not leveraging lots of existing (and probably free open source) code that was already written by humans and meets the spec better without ever needing an LLM.
The vast majority of properly written software was already plumbing well over a decade ago. The software engineering is making high level decisions based on experience with respect to the existing tools and the needs of the business. If you're not already using LLMs that way, you would have been a similarly bad manager of human devs writing similar inadequate slop. Less code has always been better code.
The line in the sand for these arguments really ought to be whether you think LLMs are better than humans who actually know what they're doing.
If you think LLMs are better, or could get better while continuing to use statistical methods, you automatically lose the argument (delusional/ignorant) and any hope of regaining credibility. That's not dogma. That's the science.
I like Heliboard a lot, but its autocorrect gets stuck in the mud all the time.
It completely falls apart and starts injecting nonsense phrases made up of nonsense misspelled words moment you miss a space ('v' or 'b') or type a really long word it doesn't know.
It also stubbornly incorrects other things like 'a' into "and" if it thinks it knows a phrase fragment. It's always wrong. It just happened to me now twice. Above, "or type a" became "or type and". Also, "it's" became "IRS".
Heliboard would be perfect if it stuck to word-only spellcheck and never split words. Just now again, it tried correcting "heliboard" into "hellenized" and "he lib oars".
This is not a matter of just lowering how aggressive the spellcheck is. It will still generate slop every time. The only real option is to completely turn it off. Futo can have similar problems, but there are a lot more options to tweak and the defaults aren't so bad.
HN only (lazily) filters content. It doesn't engage in ideological vetting, and doesn't need to either.
A good amount of the commenters on this story probably would encourage violence, or at least agree with the sentiment on a different platform, yet here they are. I'm not even sure if they're real people or bots.
We are having a discussion right now that would not be allowed if there was vetting.
HN's filtering is anything but lazy. Do you have showdead enabled in the settings? If not, enable it and refresh this comments page.
A bunch of my comments were mysteriously deadened and I have no idea why - they aren't flagged. This was among them. Maybe it was a retaliation for talking about HN's filtering?
The discussion around privacy is always framed the wrong way.
The authoritarians use the red herring of "nothing to hide", while the liberals only argue on the most sensational abuse cases or somewhat flimsy high-minded principles.
The correct way to get the layperson to care is with a visceral reaction using the relevant buzzwords: "sabotage", "gangstalk", "bully", "witch hunt", etc.
It makes zero sense that the same people who fight so hard over gun rights can completely ignore all the other much uglier ways the powers-that-be can threaten your livelihood.
Nobody ever spells out what "overpolicing" really looks like. Nobody makes clear enough that "the government" is what we call it when we give your literal neighbor special privileges.
You're conflating "predictable" with "reproducible".
"Predictable" assumes there is an observer making a guess, but we all live by the knowledge that our assumptions may be wrong. We care less about that, and more about whether the system behaves consistently.
Consistent behavior is either a bug or a feature depending on what was expected. The system just is, man, and that's what we need.
"Nobody sits like this rock sits. You rock, rock. The rock just sits and is. You show us how to just sit here and that's what we need."
I've gotta take the wind out of your sails a little bit on the "Pinkerton" name.
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