321–330 of 1001 posts
What makes software "agentic" instead of just a computer program? I hear lots of talk about agents and can't see them as being any different from an ordinary computer program.
When you ask: 'How many r's are in strawberry?' Claude 3.7 Sonnet generates a response in a fun and cool way with React code and a preview in Artifacts check out some examples: [1] https://claude.ai/share/d565f5a8-136b-41a4-b365-bfb4f4400df5 [2] https://claude.ai/share/a817ac87-c98b-4ab0-8160-feefd7f798e8
This test has always been so stupid since models work at the token level. Claude 3.5 already 5xs your frontend dev speed but people still say "hurr durr it can't count strawberry" as if that's a useful problem
Hi everyone! Boris from the Claude Code team here. @eschluntz, @catherinewu, @wolffiex, @bdr and I will be around for the next hour or so and we'll do our best to answer your questions about the product.
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TLDR: told it to implement a grid view as an alternative to the existing list view, and specifically told it to DRY the code. What it did? Copy and pasted the list view implementation (definitely not DRY), and tried to make it a grid, and even though it is a grid, it looks terrible ( https://i.imgur.com/fJiSjq4.png ). I don't understand how people use cursor and all that other shit when it cannot follow such simple i…
It also keeps adding aspect-ratio to every single image it finds in my code base.
Even though my Layout clearly says `max-w-md` (https://github.com/mayo-dayo/app/blob/463ad5aeee904289ecc7d4...).
You can get your HN profile analyzed by it and it's pretty funny :) https://hn-wrapped.kadoa.com/ I'm using this to test the humor of new models.
> You're the only person on HN who thinks $800/month is a salary and not a cloud computing bill.
ouch
Awesome. Claude is significantly better than other models at code assistant tasks, or at least in the way I use it.
> "[..] in developing our reasoning models, we’ve optimized somewhat less for math and computer science competition problems, and instead shifted focus towards real-world tasks that better reflect how businesses actually use LLMs.” This is good news. OpenAI seems to be aiming towards "the smartest model," but in practice, LLMs are used primarily as learning aids, data transformers, and code writers. Balancing "intell…
Thanks! We all dogfood Claude every day to do our own work here, and solving our own pain points is more exciting to us than abstract benchmarks. Getting things done require a lot of booksmarts, but also a lot of "street smarts" - knowing when to answer quickly, when to double back, etc
In general, benchmarks seem to very misleading in my experience, and I still prefer sonnet 3.5 for _nearly_ every use case- except massive text tasks, which I use gemini 2.0 pro with the 2M token context window.