alt Hacker News> Not to anthropomorphize a machine modeled after humans, but it almost seems delighted?
I had Claude Code drive a robot last week, and it was very visibly "delighted" like this, more than I've ever seen.
I always find it funny when people get fussy over anthropomorphizing LLM when the loss function is almost entirely "match this human text". Of course human "behaviors" will be present in the statistics, because the majority of the text written by humans, used by the foundation models, unavoidable has human behaviors in it. Yes, this includes even source code, with "// TODO: implement this after the holiday break!", emotional pull request commentary, git commit messages about being afraid of breaking something, etc. These late models are much better at stripping this out, but now we're seeing disagreeability, initiative, and a dash of ego! Why? Because that's how actual humans effectively solve technical problems in a collaborative environment!
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Is this not how children learn emotions from their parents? Pattern matching from all the absorbed snippets.
I'd be interested to see how well an AI, trained only on the outputs of an individual, would be able to mimic that individual. Getting into Black Mirror territory. Would need a decent corpus of learning material which, personally, I'd be loathe to spend the time and effort creating because I respect my own privacy.... which then leads to the only human-clone AIs will be of those people who have enough ego / arrogance to want to catalogue their own lives, which could put a decent percentage of the rest of the world off the idea, if these are the examples.
Don’t anthropomorphize it because that’s bad for you. It’s not human and not alive. It’s a pile of tensors.
> I had Claude Code drive a robot last week, and it was very visibly "delighted" like this, more than I've ever seen.
At least it didn't (hopefully?) start the driving by reloading the gun like Neuro did https://www.youtube.com/watch?v=LQ0VEDNR_jE
Opus 5 told me yesterday, your solution is better than mine. Let me do some research
I'm terrified of such sentences. My scifi addled brain went straight to: what if Opus invents a time machine in the future and remembers this slight
In a paper and blog post from earlier this year (March 2026, I think) Anthropic said basically: "You're not interacting with an LLM, you're interacting with a fictional human character (the 'helpful agent') created by the LLM to interact with you (from out of the vast space of possible such characters in its training data)." The LLM is literally anthropomorphizing itself, because its training data includes lots dialog between humans collaborating on problem-solving, not so much dialog between a human and a statistical construct. So, yeah, anthropomorphize it as well, it'll likely work better that way.