Claude Kitman

OK, sweethearts, I know that my name is nobody. Don't count on the algorithm to open the eyes wide shut. Just see for yourself and carry on @grok

@GrantHBrennerMD But not to communicate it as being as certain as we felt it

I think it may be true that there is nothing that the human mind can conceive of which is truly certain. It is possible to be quite sure however.

@ItakGol been

USA has Claude USA has ChatGPT USA has Gemini USA has Grok China has Qwen China has DeepSeek China has Kimi China has MiniMax Europe has?

@kunley_drukpa It's the three Moirai offering him canned water from Eternal Youth Fountain. Its seems that they've not agreed on the price

There was also a second image where one of these figures appeared to offer Trump a can of Monster Energy Drink. What the hell is going on?

@pingu4ll Culs terreux

what slur would aliens use for us

@BjarturTomas That very one would be the next scapegoat

@kitten_beloved wow it's a spell

I have her blocked now but I do kind of miss witnessing her go into this sort of adderall fugue state and just spamming every single reply in a thread with an identical quote, it was something to behold

@ValerioCapraro Thank you!

Full paper here: osf.io/preprints/psya…

Major preprint just out! We compare how humans and LLMs form judgments across seven epistemological stages. We highlight seven fault lines, points at which humans and LLMs fundamentally diverge: The Grounding fault: Humans anchor judgment in perceptual, embodied, and social experience, whereas LLMs begin from text alone, reconstructing meaning indirectly from symbols. The Parsing fault: Humans parse situations through integrated perceptual and conceptual processes; LLMs perform mechanical tokenization that yields a structurally convenient but semantically thin representation. The Experience fault: Humans rely on episodic memory, intuitive physics and psychology, and learned concepts; LLMs rely solely on statistical associations encoded in embeddings. The Motivation fault: Human judgment is guided by emotions, goals, values, and evolutionarily shaped motivations; LLMs have no intrinsic preferences, aims, or affective significance. The Causality fault: Humans reason using causal models, counterfactuals, and principled evaluation; LLMs integrate textual context without constructing causal explanations, depending instead on surface correlations. The Metacognitive fault: Humans monitor uncertainty, detect errors, and can suspend judgment; LLMs lack metacognition and must always produce an output, making hallucinations structurally unavoidable. The Value fault: Human judgments reflect identity, morality, and real-world stakes; LLM "judgments" are probabilistic next-token predictions without intrinsic valuation or accountability. Despite these fault lines, humans systematically over-believe LLM outputs, because fluent and confident language produce a credibility bias. We argue that this creates a structural condition, Epistemia: linguistic plausibility substitutes for epistemic evaluation, producing the feeling of knowing without actually knowing. To address Epistemia, we propose three complementary strategies: epistemic evaluation, epistemic governance, and epistemic literacy. Full paper in the first reply. Joint with @Walter4C & @matjazperc

@stella_lennart Wait till he'll hear about YOUR emotions, if you'd do it early morning that might be your day off

I told Fable 5 about a friend. How lovely he is, but a bit too emotional. The chat got paused. I edited. And edited again. And again, and again. Deleted words, that could maybe trigger something. But no. I couldn't get it through. Now I reached my usage limit. Well done @AnthropicAI

@yanabana @ZeffMax really?

@ZeffMax I am!

where are openai/anthropic employees buying clothes from post IPO

@ZeffMax Second hand, at last

@distributedkv I might help if you agree: free dinner forever

@BenjaminDEKR May I risk one guess

The reality is that many of the world's most respected, experienced tech and energy companies are NOT fast-tracking AI and robotics into the industry. They are cautiously seeing where things go but having humans do the work for the foreseeable future.

@generic_void 👁‍🗨Wu Wei

wait wtf I turned this thing off years ago?

@alightinastorm You just got a free ride without asking it

what the fuck is even happening rn

@GrantHBrennerMD and how would they know?

Asking someone what they need isn't always what they need.

@SV_Rocks @PaoloMiasma @archibaldxiv Thinkingoutloud: did you ever experience it first hand on whatever side? You teach so it's getting clearer for you. You're taught, there is a chance for you to make something out of it.But the belief, there lies the problem, what the belief is? Certainty forced upon the uncertain

@CKitman28410 @PaoloMiasma @archibaldxiv There's a clear distinction between a charlatan and a true Guru. Who benefits from the belief, the teacher or the taught? This is true for all faith. Does it empower you, or hand it over to someone else?

If I post the depths of esoteric and occult knowledge on twitter it goes over everyones head so I just spit basic truths.

@QuoteJung Oh Carl, that's just the light at the end of the commercial tunnel

@distributedkv fair enough, be merciful, in France we don't get even the weather right

@SV_Rocks @PaoloMiasma @archibaldxiv Yes, maybe the distinction has to be read on the receiver's side. Jesus was repeating to his disciples that they were useless frauds.

@drfrensor Truth is found when you realize there wasn't any maybe

Truth is found by traversing accumulated maybes.