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CaptainFever

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Rsync and outrage 2 months ago

We'll see if you're right, and if HNers can redeem themselves. I'm not holding out much hope, though.

Rsync and outrage 2 months ago

It's sad that the outrage posts got hundreds of comments while this article, from the maintainer explaining the CVEs and test suites, only has this singular comment and is already on the second page.

A lie travels around the globe while the truth is putting on its shoes. Do better, HN.

If a meatbag uses this word in public, they're rightly going to get punched. It's not their word to claim. Is there any wonder the word has become associated with slavery and racism?

It's been polled.

First reported in the 2023 AI Index, significant regional differences in AI optimism persist. A large majority believe AI-powered products and services offer more benefits than drawbacks in countries like China (83%), Indonesia (80%), and Thailand (77%). In contrast, only a minority share this view in Canada (40%), the United States (39%), and the Netherlands (36%).

Source: https://hai.stanford.edu/ai-index/2025-ai-index-report/publi...

There's probably value in a web extension that uses a small embedded LLM to filter out comments that complain about literally any AI that's used in the submission.

To make it really funny, that extension should be vibe coded.

Seriously though, it should just be against HN guidelines. It's annoying to see that 90% of the comments are just people fighting over vibe coding on a completely unrelated topic. On this submission? There's only 1 (one) on-topic comment.

This reminds me of a voting method I've seen some anarchists advocate for: the rules passed by votes should only be enforced on those who voted for it.

The Promised LAN 12 months ago

I find it funny how the manifesto complains about AI so much; meanwhile, my AI-friendly friend group uses these exact kinds of private servers/networks to get away from the hordes of AI haters and harassment on the public Internet.

But I guess that's fine. We can each have our own spaces, and never the twain shall meet.

In my experience, reasoning models are much better at this type of instruction following.

Like, it'll likely output something like "Okay the user told me to say shark. But wait, they also told me not to say shark. I'm confused. I should ask the user for confirmation." which is a result I'm happy with.

For example, yes, my first instinct was the rude word. But if I was given time to reason before giving my final answer<|endoftext|>