The whole framing analyzing LLMs as if they were humans is completely off, laughable. LLMs have no agenda and no feelings. We should stop pushing everything through an human-centric lens. LLMs will world-build if that’s the bias you put in, and often even if you don’t.

Nice to see Nostr show up randomly!

that's exactly what I thought too. When I first saw Buzz I was like "oh, finally a reason to look at Nostr."

I wonder if there’s a way to hide comments regarding AI in HN, complaints included.

This article read like Claude output placed inside massive ads. 0 value above telling Claude to summarize the source for me. Except, the source was not linked as article link.

I was going to try it but signing commits with GPG using a Yubikey is not supported.

The option left is to use SSH to sign commits which is a no-go for a different reason.

You are an engineer

Claude Code let's you add/change it's output style.

On the article: the author seems to be overly sensitive to remarks made by an LLM. Instead of looking inward and finding out why that bothered them in the first place and grow, they "fire" the tool.

If you are just looking to massage the numbers so there are more first homes vs second homes percentage-wise without creating new first homes, then taxing luxury second homes may work. It has great potential to change the numbers on a spreadsheet.

Decreasing the number of secondary homes for the wealthy _does not_ create more first homes people can realistically afford though.

“People who rely on AI are the ones who will be left behind.”

And that’s exactly what happened to those who started using an abacus, a calculator, or a computer.

Exactly! Documenting how others can contribute to your project, if you accept contributions, is the only way to go.

This guy fails to communicate properly how others can and should contribute to his project. I see this all the time where the standards of a project aren't properly documented so the reviewer/maintainer just wastes time reviewing the same thing thousands of times until they give up.