benjirenji

@benjirenji@slrpnk.net · Joined ⁨Apr⁩ ⁨2026⁩

Replying to @⁨fizzle@quokk.au⁩

Aren’t you assuming productivity gains will lead to free time? Why? It never has. Most of us work a fixed amount of time and get paid for that time. Not the amount of tasks we finish if that can even be measured.

Salaries have also not increased with increased productivity long before chatbots came online. So they won’t suddenly increase now.

AI is much more just like a new laptop you get from work. The new device is faster, has more RAM and allows you to do more, potentially.

The big question is, if the purchase was worth it. Unlike a new laptop, LLMs are an ongoing cost to users and providers. Nobody except for GPU producers are actually making money right now. Hyperscalers make some of the money back they themselves invested into the companies using their services, but in the end the ROI looks pretty dim for anyone.

So even if there are real productivity gains, you won’t see people relax with their kids more. And even if these gains are significant they may not prevent a huge economic collapse so we all will have plenty of time with our kids in the end anyway.

Replying to @⁨Shin@piefed.social⁩

And hopefully these protocols are backward compatible so I can still use a limited feature set running an older version. I think this would be a big step towards avoiding any fragmentation.

I hate when software supports up to an arbitrary version number and if you just fake the version string in your client or framework it just works fine. Why set up arbitrary hurdles?

Replying to @⁨Shin@piefed.social⁩

Open source is fine, but if we depend on badly funded one man projects with a maintainer about to burn out, we’ve created an extremely fragile system.

The argument is of course that anyone can just pick up a project, fork it and make it better, but we have to remain realistic how often a tech stack can survive a fragmentation of an important project. Compatibility and interoperability is vital.

This can and maybe even should happen once in a while, but if it happens too often it’ll do damage to the userbase.