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maxcb

Re:How to be more ambitious: A tutorial for humans with models on Thursday October 15, 2026 @11:43AM (#50105334)
I like this article, it's a gentle reminder that there's always something more to achieve. It's akin to the book The Magic of Thinking Big by David J. Schwartz.

Although I feel it's missing substance to help backup the idea that generic ambitious prompts are more effective.

> Eventually I asked Claude to simply keep our apps crash-free

And did it work? What % fewer crashes are there now?

Re:Claude partial outage on Tuesday September 29, 2026 @11:08AM (#49894632)
> now a single human needs to pick up several 8k PRs authored by bots

PRs shouldn't really be reaching 8k diffs no matter who authors them.

Re:Ox Alpha – A mysterious new AI model on Tuesday August 25, 2026 @05:49AM (#49431223)
You would think that, right? Here's the full text:

> oxalpha.com is an independent site that gives you a free, no-login chat interface to the Ox Alpha model. We are not the model's creators — we're fans of it, like everyone else trying to guess who built it.

Re:Generative AI Is an Engineering Disaster on Thursday July 16, 2026 @10:53AM (#48935438)
Comparing how traditional tech companies scale to how frontier AI companies scale doesn't seem very fair to me. AI is still relatively new territory, in comparison traditional software companies benefit from decades of investment in cloud infrastructure, networking, and hardware. I'm certain those technologies also went through periods of heavy investment before they became scalable.

The author also talks about advances like smartphones as though they arrived without significant challenges or trade-offs. Every major technological shift has come with some cost, e.g environmental, shortages, investments.

I'd argue most things are difficult to scale in the beginning. Just because today's LLMs are expensive and resource intensive doesn't mean the technology is fundamentally flawed, it may simply mean the current approach isn't the one we'll end up with. But naturally, someone working on another approach would have something to criticise about others.

Finally, I'm not convinced by the claim that we're "stuck" with LLMs just because they're heavily marketed. They create value for many people, which is why they've been adopted so quickly. As the author points out, investors care about economics. I'm sure people would listen if someone developed a cheaper/more sustainable technology that delivered the same value.

I suppose not everyone is a really accomplished frontend developer, though. Better to stick to accessible solutions like Shadcn and Tailwind, rather than have a project stagnate should the accomplished frontend developer leave. Maybe AI adds a layer of protection here, but either way most companies esp. startups, don't need CSS masters, they need people who can build solutions.