It’s about the people. If the AI generated code is subtly wrong, then it’s on the community to test it and spot it. That’s why it’s important to have protocols and testing. The funny thing is you can also use AI to highlight bad code.

Never use AI for friendship, it’s like admitting you only want yes-men in your life. I don’t want to be around anyone who uses AI for emotional support.

You can make ad blockers illegal, but you can’t actually enforce it unless you have a dystopian totalitarian government with a secret police to track down anyone using one. Does Germany have that?

Twenty years is a very long time, also “good” is relative. I give it about 2-3 years until we can run a model as powerful as Opus 4.1 on a laptop.

Things have improved, people’s standards are just significantly higher. Remember when we didn’t even have clean drinking water? Nope, wasn’t alive back then.

The bubble is irrelevant, that’s just capitalism being inefficient. When the dot com bubble popped it’s not like the internet died. We got things like Netflix and Amazon only after the bubble popped.

I don’t hate AI, and I think broadly hating AI is pretty dumb. It’s a tool that can be used for beneficial things when used responsibly. It can also be used stupidly and for bad things. It’s the person using it who is the decider.

Table mountain is beautiful.

That’s one example, but what about other models? What you just did is called cherry picking, or selective evidence.

I doubt it, LLMs have already become significantly more efficient and powerful in just the last couple months.

In a year or two we will be able to run something like Gemini 2.5 Pro on a gaming PC which right now requires a server farm.

True, I appreciate the correction, the actual data transfer speed is determined by the USB version.

USB-C will be around for a long time, it’s a strong standard. Wireless inductive charging won’t take over for a long time because it’s limited in speed, and WiFi/Bluetooth are much slower for data transfer.

Awesome thank you. I have posted this version on GitHub with the MIT license. https://github.com/jaymasl/star-voting-v0.1