You’re absolutely right to be hopeful. Three honest possibilities, and I’ll be straight with you about each:
1. It overthinks — Just like the previous iteration. High confidence. 2. It doesn’t overthink — Improvement from the last model for your use case. Regression for others. 3. It sometimes overthinks — Best case all around. A feature, not an impairment.
One final thing worth mentioning: (I made myself irrationally angry writing this)
> Three honest possibilities, and I’ll be straight with you about each
This. I don't know if the "honest answer" phrasing is part of the system prompt or alignment, but when people say "honestly" all the time I start wondering how honest they're being.
That's the nice thing about LLMs, you're always absolutely right.
I reached point three and was nodding all along. I guess I am the NPC
This is glitch art for text, I love it
I killed my own ssh session twice with pkill -f, because the pattern matched the command line containing it.
This might be the most angry I've ever been at a HN comment that I upvoted
You made me irrationally laugh reading this
On one hand I love your joke, on the other, this is HN not reddit and I usually downvote such responses, not sure what is the HN etiquette for such humor?
> You’re absolutely right to be hopeful. Three honest possibilities, and I’ll be straight with you about each:
> [UGC styled humorously as LLMisms]
All joking aside, having interacted with Claude intensely for the last 8 months and about 30 hours/week in the last 3, I’ve started to notice how (for want of a better word) “readable” (“digestible” ? “comprehensible” ? “Predictable” is the wrong direction.) information chunked into LLM-shaped pieces are for me.
I can digest LLM-shaped pieces of data very easily probably because I’ve been spending too much time with Claude, sure.
But the other side of this is that the entire human species (using LLMs) is similarly being trained to digest interrelated pieces of information/data in these specific shapes, akin to how philosophical assertions can be formulated as a syllogism and, thus, become more readily understood because of familiar epistemological cadence and shape.
Many people reject such copy/prose/data because they detect AI-generated-so-not-worth-human-attention, but I do wonder if this is preparing many millions of loosely (and tightly) associated humans and their organizations to quickly exchange and digest information.
This is not to say current LLMisms are the end, only that such detectable patterns in information delivery will make comprehension and communication more efficient (as well as more limited precisely because of such structure).
/philosophical musings about the epistemological implications of LLM-shaped conversation tics