I usually learn compelx topics using the image generator of an LLM, capabilities like GPT-Image2 or Nano-Banana.
I give it like a complex paper -> turn into visualzation or a poster, then ask quesitons and it helps me understand someitmes a very complex paper rather easily. The jump that nanobanana / gpt-image-2 had done is pretty wild.
How I use LLMs to learn complex topics
301–310 of 574 posts
Re: How I use LLMs to learn complex topics
#302This looks very interesting, something I was also trying to do with my learning.
One thing I wonder is, do you mentally 'fight back' monotonicity of your interactive tool? All seem to be in 3D space, with low-poly, like in a factory moving through the belt and giving you an information + textual description to read more
But sometimes you want to visualize the charts, or graph of simulations, or maybe even the parts of an item in the rocket.
Re: How I use LLMs to learn complex topics
#303This looks like the most convoluted and token heavy way to consume a bulleted list.
Re: How I use LLMs to learn complex topics
#304I thought LLMs were a great tool for learning new topics - perhaps even complex ones. But overtime, I have had several frustrations with this. First, I get exhausted reading LLM prose. I really don't want to read anything generated by something like Opus 5 at this point. Second, as I dive deeper, I need a way to organize the information in a useful way as I begin to branch out in many different directions. I have tri…
> I really don't want to read anything generated by something like Opus 5 at this point.
Recently switched to OpenAI and I've gotta say Sol is so much better at writing than Claude. Opus has a distinctive sentence structure and Fable somehow manages to be even more obtuse. The personality of these models really does come through...
Re: How I use LLMs to learn complex topics
#305[flagged]
Re: How I use LLMs to learn complex topics
#306This is, without exaggeration, probably the fiftieth blog post or long-form comment about how someone is using an LLM for "complex learning", and I'd just really like to see at least one of these to be accompanied by a statement saying what are the kinds of problems the author can now confidently solve that they couldn't before.
In my experience, LLMs are really good for taking up your time and making you feel like you're learning, in the same way that many of the popular educational videos on YouTube are fun to watch and don't really teach you anything.
If you ask an LLM to give you a 500-word summary of quantum physics, it'll give you an oversimplification that probably leans on a hodgepodge of pop-sci metaphors. And if you start drilling down, you risk drilling down on these ELI5 metaphors, which can get you farther away from truth.
Re: How I use LLMs to learn complex topics
#307This is, without exaggeration, probably the fiftieth blog post or long-form comment about how someone is using an LLM for "complex learning", and I'd just really like to see at least one of these to be accompanied by a statement saying what are the kinds of problems the author can now confidently solve that they couldn't before. In my experience, LLMs are really good for taking up your time and making you feel like y…
> don't really teach you anything
Dunno, I've been learning a lot of Rust in the past few days. Just dove right into a project and asked AI to teach me stuff on a need to know basis. I'm actually getting used to Rust by now.
Re: How I use LLMs to learn complex topics
#308I thought LLMs were a great tool for learning new topics - perhaps even complex ones. But overtime, I have had several frustrations with this. First, I get exhausted reading LLM prose. I really don't want to read anything generated by something like Opus 5 at this point. Second, as I dive deeper, I need a way to organize the information in a useful way as I begin to branch out in many different directions. I have tri…
LLMs can't "read the room" and infer how much context the audience already has, so they try include everything. human conceptual thinking is very much a multi-dimensional graph, which relies on light "approximate" concepts that are "good enough". LLM AR token generation is extremely one dimensional and doesnt care about the "weight" of the concept behind a token. LLMs hold billions of parameters in "mind" at once. hu…
Would you be willing to provide an example (even a contrived one) of how this "four at a time" prompt changes the LLM's behavior?
I just want to understand more.
Also, would you be willing to share the actual text of it that you put in AGENTS.md?
Re: How I use LLMs to learn complex topics
#309Earlier quoted context omitted.
Sounds about right. Tangentially, but related: I'm old enough to remember when the spirit of your comment was pervasive on HN.
It wasn’t even all that long ago. I noticed around the time ChatGPT 3.5 was released I saw a significant change in tone regarding LLMs and diffusion models. I think that’s when some serious astroturfing started. I’m old enough that I worked my first IT summer job the same year slashdot was founded. I’ve seen a lot of tech tribalism form and dissipate, and this one didn’t feel organic. My gut says a lot of the us-vs-t…
1000% astroturfing—and across social media. Too many posts of the same quality at the same time(s). These things ran in cycles, spinning up and dissipating just as suddenly.
E.g. the entire framing to combat complaints about shortcomings was, "It's not the tech. It's you. You're just not doing it right. Wrong setup, wrong workflow, add this to your .MD, use loops, etc". Every complaint was immediately met with this same treatment by a swarm of vague bro-bots that materialized from the ether. The core message? Always the human's fault.
And, don't get me started on the waves of newly minted expert AI creators, making recommendations without showing a single example of what they'd supposedly built.
I'm sure some bandwagon organic creators tried to cash in on the genre, but encouraging that was also part of the point.
Re: How I use LLMs to learn complex topics
#310One concern though: "100% accurate and free of hallucinations" is doing a lot of work. A second LLM pass can catch some mistakes, but it can also confidently agree with the first one