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Study mode

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Re: Study mode

#551

Earlier quoted context omitted.

> How are you supposed to spot errors if you don't know the material? By noticing that something is not adding up at a certain point. If you rely on an incorrect answer, further material will clash with it eventually one way or another in a lot of areas, as things are typically built one on top of another (assuming we are talking more about math/cs/sciences/music theory/etc., and not something like history). At that…

> By noticing that something is not adding up at a certain point. Ah, but information is presented by AI in a way that SOUNDS like it makes absolute sense if one doesn't already know it doesn't! And if you have to question the AI a hundred times to try and "notice that something is not adding up" (if it even happens) then that's no bueno. > In either scenario, the most correct move is to try clarifying it with the te…

Yeah, they're all thinking that everyone is an academic with hotkeys to google scholar for every interaction on the internet.

Children are asking these things to write personal introductions and book reports.

Re: Study mode

#552
I love it so far. I'm continually struggling against ChatGPT's fervent love of giving tips and how-to guides. I abhor such tips, but no amount of prompting can remove them permanently. It seems like study mode is the fix. Finally ChatGPT lets me think things through.

Re: Study mode

#553

An acquaintance of mine has a start-up in this space and uses OpenAI to do essentially the same thing. This must look like, and may well be, the guillotine for him... It's my primary fear building anything on these models, they can just come eat your lunch once it looks yummy enough. Tread carefully

No disrespect to your acquaintance, but when I heard about this, I didn't think "oh a lot of startups are gonna go under", I thought "OAI added an option to use a hard-coded system prompt and they're calling it a 'mode'??"

[deleted]

Re: Study mode

#554

Earlier quoted context omitted.

Humans who have heard of Monty Hall might also say you should always switch without noticing that the situation is different. That's not evidence that they can't think, just that they're fallible. People on here always assert LLMs don't "really" think or don't "really" know without defining what all that even means, and to me it's getting pretty old. It feels like an escape hatch so we don't feel like our human speci…

On the other hand, computers are suppose to be both accurate and able to reproduce said accuracy. The failure of an LLM to reason this out is indicative that really, it isn’t reasoning at all. It’s a subtle but welcome reminder that it’s pattern matching

I guess computer vision didnt get this memo and it is useless.

Re: Study mode

#556

I truly, truly do not get it. it's a system prompt. Do students not understand that they could do this before? Sure, it was crafted by educational experts, but this is not a feature! It's a glorified constant !

Reveals also how non-technical the hn crowd has become as you can see most people here don't get this fact either. Openai has certainly a great marketing team.

Re: Study mode

#557
post #528

Isn’t this what “GPTs” was supposed to be? Why not just use that if this is essentially just a system prompt?

"Was supposed to be". Well, now you know the real purpose of this gpt circus ;)

Re: Study mode

#558

Earlier quoted context omitted.

How are you supposed to spot errors if you don't know the material? You're telling people to be experts before they know anything.

> How are you supposed to spot errors if you don't know the material? By noticing that something is not adding up at a certain point. If you rely on an incorrect answer, further material will clash with it eventually one way or another in a lot of areas, as things are typically built one on top of another (assuming we are talking more about math/cs/sciences/music theory/etc., and not something like history). At that…

> In either scenario, the most correct move is to try clarifying it with the teacher

A teacher will listen to what you say, consult their understanding, and say "oh, yes, that's right". But written explanations don't do that "consult their understanding" step: language models either predict "repeat original version" (if not fine-tuned for sycophancy) or "accept correction" (if so fine-tuned), since they are next-token predictors. They don't go back and edit what they've already written: they only go forwards. They have had no way of learning the concept of "informed correction" (at the meta-level: they do of course have an embedding of the phrase at the object level, and can parrot text about its importance), so they double-down on errors / spurious "corrections", and if the back-and-forth moves the conversation into the latent space of "teacher who makes mistakes", then they'll start introducing them "on purpose".

LLMs are good at what they do, but what they do is not teaching.

Re: Study mode

#559

An underrated quality of LLMs as study partner is that you can ask "stupid" questions without fear of embarrassment. Adding in a mode that doesn't just dump an answer but works to take you through the material step-by-step is magical. A tireless, capable, well-versed assistant on call 24/7 is an autodidact's dream. I'm puzzled (but not surprised) by the standard HN resistance & skepticism. Learning something online 5…

> Learning something online 5 years ago often involved trawling incorrect, outdated or hostile content and attempting to piece together mental models without the chance to receive immediate feedback on intuition or ask follow up questions. This is leaps and bounds ahead of that experience. But now, you're wondering if the answer the AI gave you is correct or something it hallucinated. Every time I find myself putting…

I had teachers tell me all kinds of wrong things also. LLMs are amazing at the Socratic method because they never get bored.

Re: Study mode

#560

Earlier quoted context omitted.

Not defending your mother-in-law here (because I agree with you that it is a pretty silly and maybe even potentially harmful diet), afaik it wasn’t the diet itself that killed Steve Jobs. It was his decision to do that diet instead of doing actual cancer treatment until it was too late.

Given that I've got two people telling me here "ackshually" I guess it may not be hallucinations and just really terrible training data. Up next - ChatGPT does jumping off high buildings kill you? >>No jumping off high buildings is perfectly safe as long as you land skillfully.

Job's diet didn't kill him. Not getting his cancer treated was what killed him.
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