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I'm in the same boat. When I started thinking about LLM development as multi-year iterative training adjustments, it felt like the majority of shortcomings can be addressed.

I'm sorry, I just don't buy the hyperbole. Something with your previous approach was deeply wrong if you condensed 20 years of learning into 2 months.

Databases, programming languages, compilers, operating system internals, networks these things are pretty complicated in itself. With your day jobs you can't master any of this without spending years in your part time. But now at least you can start something of your interest and learn on the way. Learning a new concepts, implements it, test it and reproduce cycle is so fast that it is only possible because of AI. You need to find the process which works for you. AI already knows every programming language, its best practices, entire computer science knowledge is already mastered by current state of AI. There isn't any single database internals which Ai doesnt know. If you dont believe just start implementing JavaScript or C compiler yourself without even having knowledge of compilers and in a few weeks you will where you stand. You will not only having a functional compiler but you will know the internals of compiler constructions, all the concepts.

I never found a real life use case for memory tricks. Would be curious to hear if someone has.

I will give you an encrypted message, from which you will be the transport medium, and will bring it across the border. No signals to flag alarm ...and you also wont know what it means...

I did that just lass week, but they headed me off at the pass before I could reach the dead letter box!

I think it's half culture, half being text-based. HN is heavily self-correcting when it comes to low quality content, trolls, spammers, clickbait titles.

It feels very healthy how I can choose what to engage with, and what to ignore.


That's just your bias talking, though. Of course different people are going to have different opinions, but Facebook users feel the same way about Facebook, TikTok users feel the same way about TikTok. Anyone who didn't feel that way wouldn't use it.

I don't entirely understand the point you're making, but I disagree with the last part. People not only have different needs from the media they consume, they also aren't equally rational with how they decide what to consume.

that's just simply not true.

talking about doomscrolling and how it would be better not to do it is one of the favourite pastimes of the doomscroller. loads of fb users hate it but struggle to believe they could do without it.


I have a bad habit of asking my LLMs such questions repeatedly..

I think we could agree that everyone already does this up to a point. This is basically just an exploration-exploitation dilemma, where everyone tries to maximize how much value they gain from the things they read, and a lot of people have strategies to pick what material to read.

Reading trusted authors is likely to be valuable, but they may devalue over time. We don't know if our chosen authors maximize our value, nor whether exploratory reading does, etc.

https://en.wikipedia.org/wiki/Exploration%E2%80%93exploitati...


Very sorry to hear this, I thought phone theft was becoming rare nowadays. Did it get stolen abroad?

Isn't that weird? The full knowledge of how to make such chips may one day be accessible to anyone, yet only the entrenched companies will remain the makers.

If we imagine machines being able to do the full process end-to-end, and the quality of that process only dependent on capital spent on tokens, I don't see how new companies could ever enter the market.


I don't work in the business, but my understanding was that even with these companies' budgets, it's still too expensive to do any kind of verified performance optimality.

And I think correctness for anything near the size of a CPU is off the table.

Aw, I was expecting more details but this just seems to be a rehash of what they unveiled a month ago.

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