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And your opinions on how average people use these tools are 100% accurate?
by hluska 9mo ago
And your opinions on how average people use these tools are 100% accurate?
- PunchyHamster 9mo agoat least 5% more accurate than average LLM
- antonvs 9mo agoIf average people try vibecoding their dependencies, they’ll fail, simple as that. We’ve already seen how that looks with the “web browsers” that have recently been vibecoded.
- simonw 9mo agoThere's a new web browser project today that's a heck of a lot more impressive than the previous ones - ~20,000 lines of dependency-free Rust (though it uses system libraries for image and text rendering), does a good job of the Hacker News homepage: https://news.ycombinator.com/item?id=46779522 https://news.ycombinator.com/item?id=46779522
- antonvs 9mo agoThanks for the heads up, that does look much more interesting. I don't think it really affects the point discussed above for now, because we were discussing average users, and by definition, the first person to code a plausible web browser with an agent isn't an average user - unless of course that can be reliably replicated with any average user. But on that note, the takeaways on the post you linked are relevant, because the author bucked a few trends to do this, and concluded among other things that "The human who drives the agent might matter more than how the agents work and are set up, the judge is still out on this one." This will obviously change, but the areas that LLMs need to improve on here are ones they're notoriously weak on, so it could take a while.