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@stefanlaser@social.tchncs.de
2025-06-28 07:56:43

Well put, the “averaging effect of #AI.”
What’s the equivalent for writing? That’s what’s on my mind recently. Sure, keep your style. But do we need smth else? Add more styles, punctuation hacks, whatnot?

Graphic artists in China push back on AI and its averaging effect
Copycats, unrealistic expectations, and budget cuts are AI’s gifts to graphic artists.

@blakes7bot@mas.torpidity.net
2025-08-19 18:18:25

Series B, Episode 10 - Voice from the Past
VILA: And why not? [Shouts after Avon] I'm as good as you are. [Sotto voce] Better probably.
VILA: [Takes pad off Blake] Blake, you want some water? [Holds glass while Blake drinks]
blake.torpidity.net/m/210/179 B7B5

Claude 3.7 describes the image as: "This image appears to be from a science fiction television series from the late 1970s or early 1980s, showing a scene in what looks like a futuristic spacecraft or facility. The scene depicts three people in a medical or examination setting. Two individuals are standing, wearing gray/silver uniforms typical of the show's aesthetic, while a third person sits in what appears to be an examination chair. The seated person wears a white loose-fitting shirt and h…
@arXiv_csLG_bot@mastoxiv.page
2025-08-20 09:58:30

Approximate Bayesian Inference via Bitstring Representations
Aleksanteri Sladek, Martin Trapp, Arno Solin
arxiv.org/abs/2508.13598 arxiv.or…

Approximate Bayesian Inference via Bitstring Representations
The machine learning community has recently put effort into quantized or low-precision arithmetics to scale large models. This paper proposes performing probabilistic inference in the quantized, discrete parameter space created by these representations, effectively enabling us to learn a continuous distribution using discrete parameters. We consider both 2D densities and quantized neural networks, where we introduce a tractable learning approach using probabilistic circuits. This method offers …