You mean 60% of YouTube ? Never.
criss_cross
After planning for a production capacity of over 250,000 units per year, Tesla is currently selling the pickup truck at a rate of ~20,000 units annually.
Oof
Like I’m not the biggest fan of gen ai but a generic computer screen feels like a good use case for filler text.
Yeah I was trying to pull out a nested react component and styles out of a larger component that got to be almost 1500 lines. Claude and GPT both struggled to get down what styles were required and what that subcomponent was actually doing. And generating tests around just made a fuck ton of spaghetti.
Which is fine. LLMs don’t have to be great at everything. But it’d be nice if people stopped saying I’m gonna be out of a job because of em.
Also a good warning: I just had to completely rewrite an mcp server I had Claude build because when I needed to update it, the whole server was one giant if/else statement and utterly unmaintainable.
I’ve noticed that in some of my bootstrapped code (also an MCP server :) ). I think it tends to bias towards single file solutions so it tends to be a lot less maintainable.
La-Z-Boy. Baby boy. I love you!
La-Z-Boy. Baby boy. I want to make love to you! Oooohhhhh
It’s like this one guy that asked “what’s a run of X-Men that has no woke messaging “. Like dude…
I’m sure Cali is getting sick of paying 80 billion more than they’re supposed to get back, only to have what you get back not even come to you.
They’re great for bootstrapping in my experience but then really fall apart when you need it to do something surgical on a larger codebase.
Ironic given that Reddit founders would post under multiple aliases in the early days to make it seem like the site had more users than it did.
I’m legit curious what the ROI on those are
ICE has 3x the budget of the marines with this bill.
I hate this timeline.