https://www.tomshardware.com/tech-industry/artificial-intell...
I'm hopeful the annual 13x drop in LLM prices will result in reasonably prized frontier models that can produce something that's actually readable, and that reasons about the code with mental models similar to those of humans, before generating the code. Everyone is in the same mess with their black boxes of unintelligible code, and that's a huge issue for security since transparency and verifiability are the same reason we expect e.g. secure messaging apps to be open source.
But as projects snowball, I wonder if they will ever fit the context window of reasonably prized LLMs.
Ps: I'm very tired of the all lowercase flex.
Then look at see what the most popular phone app is. Muse. Followed by competitors from Claude, Anthropic, Google , X.
Nobody likes it and everyone wants to use it.
> Then look at see what the most popular phone app is. Muse. Followed by competitors from Claude, Anthropic, Google , X.
> Nobody likes it and everyone wants to use it.
That only has contradiction vibes if you don't think about it too much. Even accepting your all statements as facts, none of them support your conclusion without serious misunderstandings.
Like isn't it obvious that a person downloading a phone app doesn't mean they like it? Or that a high ranking on an app store doesn't mean even a large plurality of people have downloaded it?
Here's the thing. I'm also willing to believe that people are happy to say they don't like something that they are happy to use. I'm even willing to believe that people have reasons to say they don't like something that they actually do in fact like.
You seem to be modeling "like" over-simplistically.
Someone can like having ChatGPT give a quick answer to a question they don't really care about, but hate how it has been used to pollute their feed with slop, and hate AI's overall effects on society even while appreciating it in some small ways.
+19.117 -304
The PR description alone, I counted it, was 25k words.