Readit NewsFor example, you have a set of balls and you want to sort them by color. Where does orange stop and red begin? What about striped balls or ones with logos printed on them? What if it is a hypercolor ball that changes based on heat? It gets messy very fast.
They're not claiming AGI yet, so human intelligence is required to operate an LLM optimally. It's well known that LLMs process tokens rather than characters s, so without space for "reasoning" there's no representation of the letter b in the prompt. Telling it to spell or think about it gives it room to spell it out, and from there it can "see" the letters and it's trivial to count.
echo blueberry | grep -o 'b' | wc -l
echo blueberry | perl -ne 'print scalar (() = m/(b)/g)’
echo blueberry | tr -d '\n' | tr b '\n' | wc -l
echo -n blueberry | tr b '\n' | wc -l
So long as I’m teaching the user how to speak to the computer for a specific edge case, which of these burn nearly as much power as your prompt? Maybe we should consider that certain problems are suitable to LLMs and certain ones should be handled differently, even if that means getting the LLM to recognize its own edge cases and run canned routines to produce answers.
Slop content is slop content, AI or not. You don't need an AI to make slop. We've always had films like "The Room", it's just that the financial and time constraints put an upper bound on how much slop was created. AI makes creation more accessible. You've got Reddit for image and video now, essentially.
You are biased by media narratives and slop content you're encountering on social media. I work in the industry and professionals are using AI models in ways you aren't even aware of. I guarantee you can't identify all AI content.
> And if we allow it to take over society, we'll end up with a society that's also slop. Netflixification/marvelization only much much worse..
Auteurs and artists aren't going anywhere. These tools enable the 50,000 annual film students to sustainably find autonomy, where previously there wasn't any.
(Coincidentally this is one of my chief complaints about Go: despite being about the same age as Rust, it took the avenue of discarding quite a lot of advancements in programming language theory and ergonomics since C)
As someone with a background of a lot of time with Perl and the Pascal/Ada family who was rooting for Julia, Go strikes a good balance for me where I would have used Perl, Python, Julia, Ruby, or shell for system tasks. I haven’t done a lot of work in Rust yet, because in the infrastructure space speed to implement is usually more important than performance and Go is a lot faster already than Python or Ruby and because my team as a whole has much more experience with it. I certainly appreciate why the folks at work who do the performance-critical network and video software use mostly Rust to do what they used to do in C, Java, or C++.
I started monitoring LinkedIn for assignments and networking opportunities. But it's just FaceBook with more AI cringe. I don't know what I hope to find anymore when I open it out of habit.
I feel at this point like you’re some rapey pervert who just feels entitled to the bodies of other people.