Another company jumping on the bandwagon to data-farm in the pretext of safeguarding children. I really wonder if there's an actual method to actually safeguard children while also not holding on to data. Because, genuinely, you can't question this.. Companies would just say "we are trying to protect kids" and that'd be the end of the argument.
I really wonder if when this is fully implemented if they will have any safe guards against selling "adult verified" accounts. With AI being a possible work around for those who don't want to share an ID, selling accounts would be another big issue unless they check for IP addresses and block based on locations and logins. EDIT: I see in another comment that its against TOS to sell accounts, I doubt that has stopped anyone before though.
Hell no. There's so much friction in setting up OpenClaw to be able to utilise it efficiently. Then the security concerns. I'd in no way want my daily driver to do something with my data that I didn't want it to do.
Agreed. There's only so much a probabilistic model can do. It's all the effect of the copious amount of data it's fed, none of it is its own generated intelligence and somehow majority of the world doesn't seem to understand that. Generative Intelligence is NOT the future.
People's trust on LLM imo stems from the lack of awareness of AI hallucinating. Hallucination benchmarks are often hidden or talked about hastily in marketing videos.
I think it's better to say that LLMs only hallucinate. All the text they produce is entirely unverified. Humans are the ones reading the text and constructing meaning.
Which is why I keep saying that anthropomorphizing LLMs gives you good high-order intuitions about them, and should not be discouraged.
Consider: GP would've been much more correct if they said "It's just a person on a chip." Still wrong, but much less, in qualitative fashion, than they are now.
No, it does not, it just adds to the risk that you'd be fooled by them or the corporations that produce them and surveil you through their SaaS-models.
It's a person in the same sense as a Markov chain is one, or the bot in the reception on Starship Titanic, i.e. not at all.
FWIW, I prefer my "little people on a chip" because this is a deliberate riff on SoC, aka. System on a Chip, aka. an actual component you put when designing computer systems. The implication being, when you design information processing systems, the box with "LLM" on it should go where you'd consider putting a box with "Person" on it, not where you'd put "Database" or any other software/hardware box.
It is probabilistic unlike a database which is not. It is also a lossy way to compress data. We could go on about the differences but those two things make it not a database.
Edit: unless we are talking about MongoDB. It will only keep your data if you are lucky and might lose it. :)
No, it is still just a database. It is a way to store and query information, it is nothing else.
It's not just the weirdness in Mongo that could exhibit non-deterministic behaviour, some common indexing techniques do not guarantee order and/or exhaustiveness.
Let it go, LLM:s and related compression techniques aren't very special, and neither are chatbots or copy-paste-oriented software development. Optimising them for speed or manipulation does not change this, at least not from a technical perspective.
> It's just a database. There is no difference in a technical sense between "hallucination" and whatever else you imagine.
It's like a JPEG. Except instead of lossy compression on images that give you a pixel soup that only vaguely resembles the original if you're resource bound (and even modern SOTA models are when it comes to LLMs), instead you get stuff that looks more or less correct but just isn't.
It would be like JPEG if opening JPEG files involved pushing in a seed to get an image out. It's like a database, it just sits there until you enter a query.
I get what you're saying but I think it's wrong (I also think it's wrong when people say "well, people used to complain about calculators...").
An LLM chatbot is not like querying a database. Postgres doesn't have a human-like interface. Querying SQL is highly technical, when you get nonsensical results out of it (which is most often than not) you immediately suspect the JOIN you wrote or whatever. There's no "confident vibe" in results spat out by the DB engine.
Interacting with a chat bot is highly non-technical. The chat bot seems to many people like a highly competent person-like robot that knows everything, and it knows it with a high degree of confidence too.
So it makes sense to talk about "hallucinations", even though it's a flawed analogy.
I think the mistake people make when interacting with LLMs is similar to what they do when they read/watch the news: "well, they said so on the news, so it must be true."
No, it does not. It's like saying 'I talk to angels' because you hear voices in the humming from the ventilation.
It's precisely like a database. You might think the query interface is special, but that's all it is and if you let it fool you, fine, go ahead, keep it public that you do.
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