Sure but is LinkedIn even a good place for that networking? Email feels way more productive (and personal) for that

They're boiling the frog pretty quickly, honestly. The token usage has clearly been an issue since using Claude code from the beginning. It just blows through tokens

Most social media is actively against that, feeding you recommendations to keep you on the platform.

The only site that actively funnels me with recommendations is Youtube at this point. In most cases that's fine for my taste because I use youtube as more of a learning platform for things like car mechanics, photography, etc. So it doesn't serve me anything toxic.

For the other social media platforms, my setup shields me from that pretty well.

And it will affect good engineers and turn them into worse engineers too

AI benefits rely on these good engineers having 5, 10, 20 years of experience pre-AI designing (and fully, thoroughly understanding) these systems. What's going to happen to that engineering skill after 15 years of AI use?

It ought to only get better as it gets honed at an even faster pace than before, utilizing techniques and algorithms that would have been out of reach due to outside constraints.

>Products/companies that no longer exist because OpenAI, or AI in general, made them obsolete

What would you place here anyways? Chegg and Stack Overflow?

This was more speaking to the hype of what people say AI is going to do, more so than the realities of what it's actually done so far.

There aren't a lot of highly technical audiobooks or ones that give the same specificity that would be the same as an academic paper

Okay but the user is describing listening to papers, then having to read the papers because listening to them isn't efficient. So why bother listening to it in the first place if you're going to read it?

Not yet but it seems like they're getting to the point of AI narration finally being good enough to make any text an 'audiobook'.

Having said that I absolutely hate the audio format, I only used it when I had to drive or when I swam lanes. But these days I do neither.

No, reading verbatim from a technical paper is way too dense. You need a lot of filler words to slow it down and repetition to make it stick when read aloud.

Hmm fair enough but text manipulation is exactly something where LLMs do shine. Writing and modifying text is what they were meant for.

Ps I don't mean the word 'manipulation' in a negative context.

What is meant by "cools down quicker"?

Will near-boiling water drop 10 temperature points in a shorter time than the warm water? Yes.

Will it reach 10C faster than the warm water? No.

No?

Today's your lucky day, you get to learn about the Mpemba effect.

(Although the why of the effect is disputed, the trivial counter to your point is that boiling water loses mass quickly so there's less mass to cool)

Not the original reply, but I support the correction here. Regardless of how pedantic/nitpicking it seems, I remember getting confused about this a lot when learning digital signal processing. Simply because its really easy to upsample.. or look at an upsampled result and get confused by that

I think 'upsample' is the root cause here. Technically that is a misnomer.

The task of helping to find wording that conveys your thoughts could mean several methods. It could mean you one-shot reword prompts and that helps you find wording. Or it could mean you're taking its output more substantially. Or you're going back and forth where the LLM is suggesting and you're suggesting too. It's incredibly vague what portion of "helping" the LLM is doing!

Whereas "search" implies (to me) a kind of direct and analytical process of listing and throwing out brainstormed suggestions, like you would with a search engine.

When I read the human version I actually get a sense of what that process looks like, and the LLM response definitely clouds or changes it by focusing on the result instead.

Absolutely. That was exactly how I meant it! Indeed that meaning was a bit lost in the LLM version.