The selected topic (chip manufacturing) is being presented at a shallow level at best. Go read Wikipedia’s article [0] and see how deep and broad the topic is. It also skips quite a few steps, and utterly glosses over how insane of an accomplishment EUV is.
This is my biggest societal issue with LLMs: they allow you to think that you’ve “learned” a topic because you read a lot of technical terms. I don’t think it bodes well for the future.
I 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…
It's much better to feed the book to the LLM and ask questions as you read along, instead of asking the LLM to basically write a custom book for you from scratch.
I 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…
It's much better to feed the book to the LLM and ask questions as you read along, instead of asking the LLM to basically write a custom book for you from scratch.
All these LLM-as-review hype pieces don’t acknowledge that it’s turtles all the way down
What do you mean by this?
It’s a reference to Bernard Shaw, who once said that if we ever created a truly artificial mind it would be inside a turtle’s shell. Sturgill Simpson covered the track on his seminal work, Xeno’s Paradox.
What’s everyone’s opinion on learning new tech things in this day and age? My opinion swings between positive and depressing vision of the future. I still learn new stuff, but I’m afraid it won’t have any value in a year or so. For example, I’m pretty good at optimizing low level stuff, but right now you can just ask LLMs to do so and they are pretty good at it. They will profile the code and suggest reasonable optio…
Generally speaking, the pattern is that people are overestimating how much "work replacement" will happen, and underestimating how much "work shifting" will happen. What is fascinating is how you can witness it at so many levels of organization. One example: Employer executive get enamored with moving from labor to capital. They believe that by using LLMs, they can replace a lot of workers. At my place of employment,…
I agree with you in the broad strokes, but replacement by LLMs isn't the only way the level of employment can be reduced. If LLMs can make it so that two programmers can do the work that used to require five, that can result in a very large reduction in employment, even while having (some) programmers is still essential.
I 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…
Its aligned in getting you interested and frustrated about a topic enough to go to a primary source you would have never looked at
My main issue with using AI as a learning platform is that unlike documentation, books, Youtube videos, there is not really a process of having someone "review the learning material". For example, I can always read the review of some book or ciriculum, the comments under a video, or if it's some for of open source documentation you can check the PRs and verify to some extent it's claim. With AI I can't really say wha…
This is (exactly) why I very strongly tell people not to teach themselves with an LLM. Particularly from the ground up. If you do not understand the domain, you cannot learn from the model because you won't know what questions to ask and it certainly isn't going to answer all of them for you.
I’ve been doing something similar (browser only interactive courses served from GitHub pages) to teach me topics from beginner to advanced LLMs and systems intersection - https://kernelspace.naigap.com Distributed systems - https://byzantine.play.naigap.com
These are high quality at first glance. the visualizations and exercises are helpful. What is your process for creating these resources?
I just gave a simple prompt to Kimi k3 when it came out, and then just using it and asking it to improve based on my own taste/gaps etc so it’s a long drawn out process. I’m doing that for the first one, will iteratively keep improving it myself as I run through it. Maybe will post on HN after that.
I 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…
AI hater here. Too me this story is all to predictable. This is exactly how I thought using LLMs to learn would go. Or in simpler terms: well duh.
I'm actually going to make a prediction here as well. I think you will soon realize that using LLMs to clarify certain questions or ideas you have will turn out to have frustrations as well. And that you will soon direct those questions to either peers you know in real life or internet forums which are very likely to have a non-AI policy.
I 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…
> want to read anything generated by something like Opus 5 at this point I've stopped using CC because of it. I find it insufferable.