Offline access and local models aren’t about assuming collapse—they’re about treating knowledge as infrastructure instead of something implicitly guaranteed.

That feels more like resilience than pessimism.

Maybe the response is to slow down a bit—revisit what matters, and use it with some sense of proportion and coherence.

I’m new here and come more from a philosophical background than a technical one, so I’m still learning the norms. One thing I’m sensitive to in communities like this is who ends up informally deciding what counts as legitimate participation.

In custom instructions I’ll sometimes write something like “tell it like it is.” Interestingly, some models then start with “okay, I’ll tell you like it is…” which makes me wonder whether that’s psychological framing, operational behavior, or both.

Curious why you asked — have you found customization meaningfully changes performance?

On the search engine comparison: do you feel LLMs reduce cognitive load because they maintain context, whereas search requires more manual synthesis?

Also curious — do you think the frustration is mostly with the model itself, or with the serving/infrastructure layer (Cloudflare, routing, batching, etc.) around it? Both comments seem to point at that layer in different ways.

Comments URL: https://news.ycombinator.com/item?id=47210016

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