There's no need for black and white thinking. Javascript and the internet browser are the most common interface sure, but there's still room for specialised desktop software, especially those that require serious performance like anything to do with 3d graphics or real-time audio.
replyBut also, frontier LLMs are enormously expensive and slow. Using Astra for things like simple text classification is not going to scale, and you're likely to end up in the same boat as those people who saw their Vercel bill shoot up to $96k/week when their site got traction, if not worse.
A personal saying of mine: In computers the second best thing always wins.
replyAgain - you are right, but it still doesn't refute the grandparent's claim that today's AI is lazy, wasteful and marketing-driven. There is room to improve, and if US labs don't take the initiative then Chinese ones will.
replyIt is lazy and wasteful if you ignore the costs of specialized skills in doing it the "right way." If you stop looking at things in a narrow technical frame, and look at it as an organization, it's not wasteful. And lazy is a useless pejorative used against products that let people do things easily. Lazy is good. When you learn how to make products that allow people to be more lazy, you will become successful.
replyWhat results though. The people seeing measurable improvements to their core work with LLMs are coders.
replyEveryone else is taking over intern level work from someone else’s team. They are reducing the friction costs of talking to someone else, for about a 30% productivity gain.
Firms are trying desperately to automate their white collar workers, and that is following the same trend as all other automation projects, and ML/deep learning efforts in history.