291–300 of 574 posts
having things defined/have correct solution to compare for review is useful, and keeps llm on track. Don't think i would trust llm if it were reviewing it all on its own
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…
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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.
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Good to know other people who get migrane reading LLMs dense prose. I started reading books again recently, since everything online is polluted by LLM prose. What i realise, is that a human author, especially a teacher understands the learning pathways of new learners, they motivate the learning, and start from simplest concepts (a spherical cow), and then building all the complexities. This helps us to emphasize on…
To me, it's just Claude. The other models have their quirks but nothing is quite like Claude. But even with Claude, it's it's really the prose getting in the way you can install the caveman plugin or tell it to use that "standard technical English" thing.
Any more detail you can share? Do the others feel more "human"? Are there any that are particularly digestible/human-friendly?
I've been wondering for a while if this is just Claude because I mostly use Claude, so this is very telling.
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I have had very similar experience! I wanted to learn Probablistic ML, checked out a couple of MOOCs, but didn't find any that were at my level - some were too advanced, some too beginner level. Claude was unable to one-shot a course, so I am now asking it to generate it module by module. But even here, it is not doing a very good job. I muddle through the concepts that it has written, do a whole bunch of back-and-fo…
i’m personally deriving a huge amount of value from the custom materials fable is assembling for me. for example i asked it to write a focused expository math paper on reed solomon to accompany an implementation module that it wrote for me. it’s remarkably useful to steer it to create graphs and diagrams of exactly how you like the material presented. or the bibliography researched and cross-linked with the body or t…
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I got started as a software engineer working in the nuclear industry in the 80s. We measured our documentation in inches not pages, and it was all written by hand. And I'll bet you the documentation in the nuclear industry is still written by hand and not by LLMs.
I sure hope those docs aren’t written by LLMs for many reasons!
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To me, it's just Claude. The other models have their quirks but nothing is quite like Claude. But even with Claude, it's it's really the prose getting in the way you can install the caveman plugin or tell it to use that "standard technical English" thing.
Can you elaborate more on juxtaposing Claude's terrible prose with other LLMs? Any more detail you can share? Do the others feel more "human"? Are there any that are particularly digestible/human-friendly? I've been wondering for a while if this is just Claude because I mostly use Claude, so this is very telling.
I tried using a new agent service recently and could tell immediately that it's powered by Claude due to the way it writes.
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What do you mean by this?
If the output can't be trusted, and you use another llm whose output can't be trusted to check the untrusted output of the first llm, then you're back where you started.