"Very sad day for crow enthusiasts" says #pastagang
"AI in the guise of Machine Learning, Deep Learning, GenerativeAI (GenAI), or Large Language Models (LLMs)... can be very useful in certain application areas such as recognising or generating patterns in large data sets. However, their key drawback is that any correctness arguments will be inherently probabilistic as they are usually based on unknown data distributions and are therefore susceptible to errors (sometimes termed “hallucinations”). "
Vox launches its subscriber-only program on Patreon, offering access to Vox.com, ad-free content, livestream events, two new exclusive video series, and more (Max Tani/Semafor)
https://www.semafor.com/article/11/16/2025/vox-to-partner-with…
Anthropic details the "Assistant Axis", a pattern of neural activity in language models that governs their default identity and helpful behavior (Anthropic)
https://www.anthropic.com/research/assistant-axis
I am really interested in the linked.art initiative, but I’m finding it hard to wrap my head around it. What strikes me as particularly odd:
* The types-of-types pattern, which creates JSON structures that are very unlike usual JSON properties.
* The AATization of everything, including things like language tags, for which perfectly fine native RDF patterns exist.
Has anyone worked with it? Are there good Getting Started guides?
Proc3D: Procedural 3D Generation and Parametric Editing of 3D Shapes with Large Language Models
Fadlullah Raji, Stefano Petrangeli, Matheus Gadelha, Yu Shen, Uttaran Bhattacharya, Gang Wu
https://arxiv.org/abs/2601.12234 https://arxiv.org/pdf/2601.12234 https://arxiv.org/html/2601.12234
arXiv:2601.12234v1 Announce Type: new
Abstract: Generating 3D models has traditionally been a complex task requiring specialized expertise. While recent advances in generative AI have sought to automate this process, existing methods produce non-editable representation, such as meshes or point clouds, limiting their adaptability for iterative design. In this paper, we introduce Proc3D, a system designed to generate editable 3D models while enabling real-time modifications. At its core, Proc3D introduces procedural compact graph (PCG), a graph representation of 3D models, that encodes the algorithmic rules and structures necessary for generating the model. This representation exposes key parameters, allowing intuitive manual adjustments via sliders and checkboxes, as well as real-time, automated modifications through natural language prompts using Large Language Models (LLMs). We demonstrate Proc3D's capabilities using two generative approaches: GPT-4o with in-context learning (ICL) and a fine-tuned LLAMA-3 model. Experimental results show that Proc3D outperforms existing methods in editing efficiency, achieving more than 400x speedup over conventional approaches that require full regeneration for each modification. Additionally, Proc3D improves ULIP scores by 28%, a metric that evaluates the alignment between generated 3D models and text prompts. By enabling text-aligned 3D model generation along with precise, real-time parametric edits, Proc3D facilitates highly accurate text-based image editing applications.
toXiv_bot_toot
Patreon launches Quips, short tweet-like posts that serve as previews to content behind paywalls, and adds tools for content creators to collaborate on posts (Mia Sato/The Verge)
https://www.theverge.com/news/816723/patreon-features-quips-recom…
My brilliant (almost) 13-year-old is learning about verbal nouns and adjectives in his language studies class
This morning I discovered that he pronounces "gerund" with the stress pattern of "Gerard"* not "Jared"
And now I'm doubting *my own* pronunciation of that word
* His choice is almost certainly influenced by his current favorite rocker Gerard Way
New to warm @… , you can use 'delta' to do things based on the duration of events.