You're arguing a distinction without a difference. I added those tools because we can agree they are almost entirely built by LLMs.
> Cursor, Codex and Claude Code all have terrible desktop applications
No they aren't - at least not anymore than any other cross platform focused program - and we're not here to bike shed about modern software.
In fact they're pretty solid.
I had more examples that you've yet to refute or even acknowledge. AI isn't inherently bad just like money isn't inherently evil. You're also allowed to not like something just cuz w/o a logical reason. I just don't have to agree with you.
can you update this website, I just wish the entire layout wouldn't shift when the page gets loaded and the timestamps in the title look very ugly and take up a lot of space.
Not sure if it is the same thing they're referring, but the transition from loading the prompt from the gist to the result is indeed jarring: https://files.catbox.moe/c56eyl.mp4
I don't believe it is that important, but I guess you might've just hit some people's pet peeve with that. If anything, it goes to show as to why skeletons are popular on modern sites
We all have a death crystal, it's just wrong sometimes. It may confuse a certain possibility with death, when in reality it is a temporary discomfort or setback.
If you ignore it and you survive, it eventually recalculates and you stop seeing that future.
I hadn't read the article and read this comment as though NVIDIA themselves were implying that this library was checked but not trusted by them since it was fully LLM generated.
We (me and my teens) used Duolingo for a few years and.. didn't really get that far in actually being able to speak. It's kind of mind-blowing that they are the market leaders. In retrospect, I think of it more like an addictive language game and not really a good way to actually learn to speak.
Latest in a long line of scams for learning a language. Goes back to cassette tapes and records. The only good way is the natural way: immerse yourself in it.
While in general I do agree with you (it's how I learned Italian, Hebrew, and Thai) being on the ground for a year is cost-prohibitive for me right now, and unreasonable for kids under 16.
What I've been building, with the help of a few language teachers, is our best guess at a really good way of learning new languages from the comfort of your home. It's not ever going to be perfect, but it is pretty good (at least so far in testing within our small group), and very cost-effective.
If you're interested in funding it, I'm happy to go live in Japan for a year :)
Those models can never be capable enough to compare to the level of output generated by frontier labs. Where would you even host these models? Maybe a company like Shopify could manage self managing an few instances but that's it's own headache. Unless Shopify can show significant productivity gains by using ChatGPT or Anthropic's API pricing models there is no way they'll be able to justify using those services at those prices in the long term while maintaining their employee pool.
The other option is to just stay with ChatGPT and Anthropic and fire almost all of their employees, but then they're running the risk of having a significantly worse customer experience in case your development cycle gets out of hand. They'd have lost most of their internal knowledge in the layoffs so they'd be stuck.
If they don't do anything and just let their employees continue to work like they've always been but with LLMs to enhance productivity. Not to the point of implementing software factories, but as most people are using them in the industry. They lose nothing, gain productivity but their shareholders, investors and managers have been gaslit into believing if they're not 200x-ing their AI spending they're probably going to be left behind by competitors who are doing that.
Also some of their larger investors may have investments in other AI companies and they probably strong arm them into contracts with those companies to benefit their portfolio.
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