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"Don't You Just Upload It to ChatGPT?"

correresmidestino.com

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Re: "Don't You Just Upload It to ChatGPT?"

#391

Earlier quoted context omitted.

> Which run, I must add, on effectively infallible hardware. Keyword: effective. Hardware is also built on top of components with error tolerances. What do you think ECC memory is for? Or why chips have "yields" and parts that were "turned off" while shipping? Or how thermal throttling happens? Or CPU clocks, which have jitter to be corrected, and tons of other examples, all the way to transistors and capacitors. And…

My point is, when you go from hardware to software, there is a noticeable change in attitude and corresponding drop in reliability. Inside hardware, there is a lot of effort to detect and correct glitches and provide reliably correct behaviour; in software, the most common assumption is that the hardware will just work as intended. How many filesystems store checksums? Even back in the days when HDDs were way less re…

> remember when Intel messed up the division algorithm inside their chips?

Yea, and what do you remember about that? Pretty much no normal person noticed before someone constructed a specific test case.

You know what I also remember? Meltdown, Spectre, which were indeed worked around by software tweaks in OS and compilers. There have been dozens of other microcode patches, etc. You are being too lenient in your assessment of the crap that hardware engineers ship. There's just a lot more of software out there with errors that are in your face, so you tend to notice them immediately. I give you one thing though: precisely because the remediation cost of a software defect is less than a hardware defect once shipped, people are not as worried about validation in most use cases. That's not inherently a mistake though, just intuitive cost-benefit assessment.

Re: "Don't You Just Upload It to ChatGPT?"

#392
Think it depends on the client base tbh. I know one professional translator who got wiped out. And that happened before powerful GPT style translation.

The reason the english on your new toasters manual is broken is because that is good enough for 90%+ of use cases. If OP is getting 500 page style guides he's clearly in the 10% rather than the Karen's assumption about translators being wrong.

Re: "Don't You Just Upload It to ChatGPT?"

#393

Earlier quoted context omitted.

... yet you still conclude "AI translation has gotten so good", so which is it?

I do think it's gotten pretty good. I'm just acknowledging my limitations in the matter. It's not a contradiction.

You acknowledge your test is fundamentally flawed but then still use it for the basis of your conclusion. It’s worse not better that you were aware of this.

Re: "Don't You Just Upload It to ChatGPT?"

#394

Earlier quoted context omitted.

> This is why I use AI for all my medical questions and doctors use AI to write software, and we both smirk at the quality the other person is getting from it. There is an interesting third group emerging: People who acknowledge the quality problem, but think they can deal with it by applying more AI to the output. This takes the form of people who spin up a lot of "agents" and give them personalities like security d…

I always imagine the model rolling its silicon eyes when it’s assigned a personality (“you are an expert growth hacker”) at the start of the prompt. Was that ever actually shown to be effective? Is it still?

[deleted]

Re: "Don't You Just Upload It to ChatGPT?"

#395
post #204
post #192

Earlier quoted context omitted.

I feel like I am the only one thinking AI is actually much better than me in the things I'm supposed to do well. I feel like that for years now, so it's not about the latest generation of models. I can't imagine a single thing I can really compete with an AI at this stage. I am not sure if I am under-skilled or others are overconfident. Maybe people who feel like me don't say this out laud.

agree. it's strange reading the loud voices that are counter to my lived experience. llms just have seemingly infinite depth - or can at least debug and execute without fatigue.

Sticking two mirrors facing each other gives the illusion of infinite depth, too. But just like the idea of LLM "reasoning", it's just an illusion.

Re: "Don't You Just Upload It to ChatGPT?"

#396
post #312

Despite the protests, he admits using AI and then charging his clients full price... "But maybe I will ask Claude’s opinion, and if one of the suggestions is smart—cutting a paragraph, for instance, or clarifying a sentence—I might accept it. When I started translating 15 years ago, we used to paste uncooperative sentences into Google Translate to see if it had interesting ways to phrase things differently. Then came…

Hi, it's me, I wrote the article! I'm a she, BTW. I do admit testing AI. Hell, most of the time, I don't have the choice anymore—I don't use it but several of my clients send AI-translated documents. Do I just send back a CHatGPT version? Hell no. This is why and how I know it's not reliable or good. It's not exactly taboo to use AI, is it? IT doesn't have to be all or nothing. AI is great for my glossaries. AI is sh…

If your translation is as bad as your English, I really have to wonder what value you bring to the table...

Re: "Don't You Just Upload It to ChatGPT?"

#397
post #391

Earlier quoted context omitted.

My point is, when you go from hardware to software, there is a noticeable change in attitude and corresponding drop in reliability. Inside hardware, there is a lot of effort to detect and correct glitches and provide reliably correct behaviour; in software, the most common assumption is that the hardware will just work as intended. How many filesystems store checksums? Even back in the days when HDDs were way less re…

> remember when Intel messed up the division algorithm inside their chips? Yea, and what do you remember about that? Pretty much no normal person noticed before someone constructed a specific test case. You know what I also remember? Meltdown, Spectre, which were indeed worked around by software tweaks in OS and compilers. There have been dozens of other microcode patches, etc. You are being too lenient in your asses…

> Yea, and what do you remember about that?

That it was a rather big PR disaster, and it cost Intel lots of money to recall the chips. Such things don't really happen with software; software is expected to have bugs, some of them maybe even catastrophic, but that's just the way the things are.

> because the remediation cost of a software defect is less than a hardware defect once shipped, people are not as worried about validation in most use cases. That's not inherently a mistake though, just intuitive cost-benefit assessment.

Yes, and also, the users are told to simply bear up with software bugs (and some low-priority ones sometimes never get fixed). So let's jump several levels of comments up:

   > > > People who acknowledge the quality problem, but think they can deal with it by applying more AI to the output.

   > > Brute Force: if it doesn't work, you're just not using enough.

   > > What if they're right though?

   > It does not have to be brushed away as "brute force" necessarily. We can, and do, build more reliable systems out of less reliable components... Even without AI, you already have buggy compilers and buggy OSes and buggy libraries.
My problem with the last comment is that it at the same times both dismisses the software and AI's quality problem ("nah, we 'can' build reliable systems") and also acknowledges that it very noticeably exists and needs to be dealt with somehow! And really, "buy literal insurance"? Who even sells insurance against software bugs?

Re: "Don't You Just Upload It to ChatGPT?"

#398
post #391

Earlier quoted context omitted.

> remember when Intel messed up the division algorithm inside their chips? Yea, and what do you remember about that? Pretty much no normal person noticed before someone constructed a specific test case. You know what I also remember? Meltdown, Spectre, which were indeed worked around by software tweaks in OS and compilers. There have been dozens of other microcode patches, etc. You are being too lenient in your asses…

> Yea, and what do you remember about that? That it was a rather big PR disaster, and it cost Intel lots of money to recall the chips. Such things don't really happen with software; software is expected to have bugs, some of them maybe even catastrophic, but that's just the way the things are. > because the remediation cost of a software defect is less than a hardware defect once shipped, people are not as worried ab…

> Who even sells insurance against software bugs?

You don't buy insurance for existence of a singular "bug." You can and people very often do buy liability insurance against damage caused by software bugs. You need to buy this stuff to be able to attach indemnification to enterprise contracts.

Re: "Don't You Just Upload It to ChatGPT?"

#399

Earlier quoted context omitted.

> Confidence in AI output is inversely proportional to one's ability to verify it I like this / generally agree. The only wrinkle is that - for some tasks - the verification _is_ "run the script, see if it worked, don't care how... just that it did" which is distinctly different from "not only did it do it correctly, it did so in the most direct and performant way possible". For a _lot_ of what I use LLMs to build, t…

And for as long that that runs on your computer, I don't care. But the problem is that for many people they now believe it's ok to present a 10k line vibe-coded PR that only has been verified against external behavior, and some Senior Engineer needs to review it, in time, under pressure, without too much push-back, and lastly, it's the Senior Engineer that gets paged at 2am because something has fallen over. Also, th…

I mean, that's more the fault of either whoever made that field nullable (the file existed before the Big Bang?) or whoever made "null Wait a minute...

/me tests a few expressions in the JavaScript console

Ahh, I see this was in the magical world of JavaScript.

Re: "Don't You Just Upload It to ChatGPT?"

#400
post #204
post #192

Earlier quoted context omitted.

I feel like I am the only one thinking AI is actually much better than me in the things I'm supposed to do well. I feel like that for years now, so it's not about the latest generation of models. I can't imagine a single thing I can really compete with an AI at this stage. I am not sure if I am under-skilled or others are overconfident. Maybe people who feel like me don't say this out laud.

agree. it's strange reading the loud voices that are counter to my lived experience. llms just have seemingly infinite depth - or can at least debug and execute without fatigue.

You're not crazy. For a precious few things in my career in software, it's been really important to have an incredibly genius idea of how to design a system or how to actually implement it. Maybe 2% of the time. The rest of the time, you could enlist an engineer with 2 years of experience and enough sense not to do stupid things (like eval()ing user input, etc). They don't need to be a genius to trial-and-error their way through everyday coding problems -- you'd just have to give them enough time and feedback and they'd be able to build everything. To me that points to LLMs not needing to be AGI to replace 98% of our jobs, since they're so much faster and so cheap.

Note: I am mostly not comfortable with this world we find ourselves in, but I'm just saying what I've observed.

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