To continue the carpenter analogy, the issue with LLMs is that the shelf looks great but is structurally unsound. That it looks good on surface inspection makes it harder to tell that the person making it had no idea what they're doing.
And yet, we’re not supposed to criticize the tool or its makers? Clearly there’s more problems in this world than «lazy carpenters»?
Exactly, they're not forcing anyone to use these things, but sometimes others (their managers/bosses) forced them to. Yet it's their responsibility for choosing the right tool for the right problem, like any other professional.
If a carpenter shows up to put a roof yet their hammer or nail-gun can't actually put in nails, who'd you blame; the tool, the toolmaker or the carpenter?
I would be unhappy with the carpenter, yes. But if the toolmaker was constantly over-promising (lying?), lobbying with governments, pushing their tools into the hands of carpenters, never taking responsibility, then I would also criticize the toolmaker. It’s also a toolmaker’s responsibility to be honest about what the tool should be used for.
I think it’s a bit too simplistic to say «AI is not the problem» with the current state of the industry.
https://openai.com/policies/row-terms-of-use/
https://www.anthropic.com/legal/aup
OpenAI:
> When you use our Services you understand and agree:
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Anthropic:
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So I don't think we can say they are lying.
A poor workman blames his tools. So please take responsibility for what you deliver. And if the result is bad, you can learn from it. That doesn't have to mean not use AI but it definitely means that you need to fact check more thoroughly.
Just like as a software developer, you cannot blame Amazon because your platform is down, if you chose to host all of your platform there. You made that choice, you stand for the consequences, pushing the blame on the ones who are providing you with the tooling is the action of someone weak who fail to realize their own responsibilities. Professionals take responsibility for every choice they make, not just the good ones.
> I think it’s a bit too simplistic to say «AI is not the problem» with the current state of the industry.
Agree, and I wouldn't say anything like that either, which makes it a bit strange to include a reply to something no one in this comment thread seems to have said.
But you just said we weren’t supposed to criticize the purveyors of AI or the tools themselves.
No, you expressed unqualified agreement with a comment containing
“And yet, we’re not supposed to criticize the tool or its makers?”
>Any critiques you may have for the tools which they use don't lessen this responsibility.
People don’t exist or act in a vacuum. That a scientist is responsible for the quality of their work doesn’t mean that a spectrometer manufacture that advertises specs that their machines can’t match and induces universities through discounts and/or dubious advertising claims to push their labs to replace their existing spectrometers with new ones which have many bizarre and unexpected behaviors including but not limited to sometimes just fabricating spurious readings has made no contribution to the problem of bad results.
Some people take that to mean that responses from LLMs are (by human standards) "always correct" and "based on knowledge", while this is a misunderstanding about how LLMs work. They don't know "correct" nor do they have "knowledge", they have tokens, that come after tokens, and that's about it.
Lawyers are running their careers by citing hallucinated cases. Researchers are writing papers with hallucinated references. Programmers are taking down production by not verifying AI code.
Humans were made to do things, not to verify things. Verifying something is 10x harder than doing it right. AI in the hands of humans is a foot rocket launcher.
Again, true for most things. A lot of people are terrible drivers, terrible judge of their own character, and terrible recreational drug users. Does that mean we need to remove all those things that can be misused?
I much rather push back on shoddy work no matter what source. I don't care if the citations are from a robot or a human, if they suck, then you suck, because you're presenting this as your work. I don't care if your paralegal actually wrote the document, be responsible for the work you supposedly do.
> Humans were made to do things, not to verify things.
I'm glad you seemingly have some grand idea of what humans were meant to do, I certainly wouldn't claim I do so, but I'm also not religious. For me, humans do what humans do, and while we didn't used to mostly sit down and consume so much food and other things, now we do.
Uhh, yes??? We have completely reshaped our cities so that cars can thrive in them at the expense of people. We have laws and exams and enforcement all to prevent cars from being driven by irresponsible people.
And most drugs are literally illegal! The ones that arent are highly regulated!
If your argument is that AI is like heroin then I agree, let’s ban it and arrest anyone making it.
You can't have it both ways. Either AIs are worth billions BECAUSE they can run mostly unsupervised or they are not. This is exactly like the AI driving system in Autopilot, sold as autonomous but reality doesn't live up to it.
This is not what you are being sold though. They are not selling you "tokens". Check their marketing articles and you will not see the word token or synonym on any of their headings or subheadings. You are being sold these abilities:
- “Generate reports, draft emails, summarize meetings, and complete projects.”
- “Automate repetitive tasks, like converting screenshots or dashboards into presentations … rearranging meetings … updating spreadsheets with new financial data while retaining the same formatting.”
- "Support-type automation: e.g. customer support agents that can summarize incoming messages, detect sentiment, route tickets to the right team."
- "For enterprise workflows: via Gemini Enterprise — allowing firms to connect internal data sources (e.g. CRM, BI, SharePoint, Salesforce, SAP) and build custom AI agents that can: answer complex questions, carry out tasks, iterate deliverables — effectively automating internal processes."
These are taken straight from their websites. The idea that you are JUST being sold tokens is as hilariously fictional as any company selling you their app was actually just selling you patterns of pixels on your screen.
The problem is that a researcher who does that is almost guaranteed to be careless about other things too. So the problem isn't just the LLM, or even the citations, but the ambient level of acceptable mediocrity.
Also similar to what Temu, Wish, and other similar sites offer. Picture and specs might look good but it will likely be disappointing in the end.