rev. howard arson

this is one of the most insane fucking things i have ever read www.amnesty.org/en/documents...

Unlawful by design: Exposing the human rights costs of generative AI - Amnesty International amnesty.org

i think there's an actual question embedded in the "if Claude were representing Genghis Khan and Julius Caesar, would we say that it was really the thing itself?" hypothetical, and it is "should an actor playing Brutus be permitted to stab Caesar to death on stage."

No, Artificial Intelligence Is Not Conscious theatlantic.com

www.wired.com/story/ai-pr-...

Ed Zitron Gets Paid to Love AI. He Also Gets Paid to Hate AI wired.com

the entire research group corresponding to my operations group was redeployed to support a project which is a priori impossible and which had no real mathematical affinity to their research area techcrunch.com/2026/06/24/a...

AI researchers continue to leave Google for its rivals | TechCrunch techcrunch.com

so something like "bounded surprisal under the Fisher metric between the up and down projections of a MLP" seems like it might be a quick way to norm the worst kind of attacks back into doing something reasonable. arxiv.org/abs/2203.00922

Adversarial attacks on neural networks through canonical Riemannian foliations arxiv.org

the child porn AI monomaniacally dedicated to the world's first trillionaire, who once controlled the US government and has killed a million people

papers: so the fundamental unit of computation in a neural network is the 'layer' me: oh great. could i get the definition of 'layer' papers: oh heavens no

a solution to AI water usage: Brawndo has what H100s crave

it is incredibly weird that the Hypnerotomachia Poliphili exists, a book which i only know about because a LLM compared Piranesi to it

it is crazy how many information theory papers in machine learning assume a noiseless real-valued channel. that isn't information theory. that's just measure theory in a hat.

i think that it's kind of weird to see writers and artists crowing about the fact that AI is not useful in their field, something which both i and they were hoping was not true

i am reading this thing which is criticizing someone on the basis that, e.g., an LLM is very unlike an autoencoder, but in the zero-layer limit a tied encoder just produces the same token and there is, in fact, a d_model bottleneck between the halves of the d_vocab encoder.