waynerisner

12 ms·

1.
by waynerisner 6mo ago
I think there’s a difference between doomsday framing and preparedness. Offline access and local models aren’t about assuming collapse—they’re about treating knowledge as infrastructure instead of something implicitly guaranteed. That feels
2.
by waynerisner 6mo ago
It’s a tool, and now part of the culture—so people are naturally using it. What it seems to reveal is less about the tool and more about us. The fragmentation was already there. Maybe the response is to slow down a bit—revisit what matters,
3.
by waynerisner 6mo ago
That’s a generous way to think about downvotes. Seeing them as signal rather than rejection leaves room to reflect and adjust. I’m new here and come more from a philosophical background than a technical one, so I’m still learning the norms.
4.
by waynerisner 6mo ago
This resonates with me. Intent is hard to infer, so it seems better to engage with the content itself. Most ideas are recombinations of earlier ones anyway—the interesting part is the push and pull of refining thoughts together.
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by waynerisner 6mo ago
Intent is hard to infer, so it seems better to assume good faith and judge the comment itself. Thinking aids might just lower the barrier for people to participate in technical discussions.
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by waynerisner 6mo ago
Humans already revise and refine their thinking. Tools just compress that process and help filter signal from noise. The meaning still originates with the person.
7.
by waynerisner 7mo ago
For tone, I prefer efficient — higher signal-to-noise. 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 wheth
8.
by waynerisner 7mo ago
I’ve had similar friction experiences — especially when reasoning-heavy modes take longer or get retried. That repels me too. On the search engine comparison: do you feel LLMs reduce cognitive load because they maintain context, whereas sea
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by waynerisner 7mo ago
DeepSeek (reasoning) and Gemini (multimodal) have been useful for me — especially when I want stronger pushback or a different angle. What are you hoping to get that you’re not getting from the usual set?
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by waynerisner 7mo ago
I am really curious about this for enunciation, articulation, and accessibility applications.
11.
by waynerisner 7mo ago
Author here. This proposes a structural refusal boundary based on directional reduction of ambiguity toward irreversible structural transition (PT→IST), rather than intent inference. Interested in critique — especially whether this collapse
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CLM: A Structural Refusal Boundary for LLMs (v0.1) [pdf](mensura.one)
1 points by waynerisner 7mo ago|1 comments