$57 a month was what Denis Pushkarev raised when he asked for donations to keep core-js going.
Source: The people holding up the internet | Data Drop
h/t D’Arcy Norman
Archives: Bookmarks
Sovereign by habit, slides
Source: Sovereign by habit, slides
The Pain Axis: LLMs Represent Self-Directed Harm and Act to Relieve It
Large language models sometimes behave in ways resembling human emotional responses, and recent work has identified internal representations that may explain this. We ask whether LLMs represent pain distinctly from fear, sadness, and generic negative valence, and whether this representation functions as pain would be expected to. We build a dataset describing painful situations across five categories: physical, psychological, social, moral, and cognitive.
Source: The Pain Axis: LLMs Represent Self-Directed Harm and Act to Relieve It
Home – IDOVIR
The research project IDOVIR strives for making results in the field of digital architectural reconstruction available in a comprehensible, permanent, and open-access form and to facilitate scientific discussion of the research results.
Source: Home – IDOVIR
Humanist AI Code of Conduct | Microsoft AI
This document outlines the intended behavior and values of MAI models, the models developed by Microsoft AI. It summarizes our approach to training and operating them, following a set of design principles we call Humanist AI. This document, and our approach more generally, is still under development so we are not using it to train our models today. Instead, we’re sharing it broadly for public consultation. We’ll take feedback, iterate on it, and publish a revised version toward the end of the year, which we’ll use to guide our model development in 2027 and beyond.
Source: Humanist AI Code of Conduct | Microsoft AI
h/t D’Arcy Norman
jdpjamesp/LrLexicon: AI auto-keywording plugin for Lightroom Classic. Bring your own AI (OpenAI, Ollama, LM Studio, or any OpenAI-compatible API) to generate photo keywords, reviewed before writing to your catalog.
LrLexicon is a free, open-source Lightroom Classic plugin that automatically generates photo keywords using AI. Select photos, run one command, and get AI-suggested keywords covering subject, setting, mood, and photographic technique — reviewed and editable before anything is written to your catalog.
Predicting genome-wide functional constraints with GPN-Star | Nature
Here we introduce a genomic pretrained network with species tree and alignment representations (GPN-Star), which is a biologically grounded genomic language model featuring a phylogeny-aware architecture that leverages whole-genome alignments and species trees to model evolutionary relationships explicitly.
Source: Predicting genome-wide functional constraints with GPN-Star | Nature
Remote Laboratories
Source: Remote Laboratories
How I Vibed a Proof of Conway’s Conjecture — overreacted
You can just prove things, apparently.
Source: How I Vibed a Proof of Conway’s Conjecture — overreacted
Artificial Intelligence in Multimodal Microscopy Workflows for Failure Analysis | ZEISS
Advancements in Image Processing: The integration of AI, machine learning (ML), and deep learning (DL) has revolutionized image processing and analysis, enabling high-resolution, non-destructive imaging for failure analysis (FA) in electronics and semiconductors. AI-Powered Image Segmentation: AI-driven segmentation techniques improve the precision and scalability of defect detection, addressing challenges posed by complex and high-dimensional image datasets. Future of FA with AI and Data Management: The adoption of cloud-based training, multimodal pipelines, and robust data management systems is paving the way for automated, efficient, and predictive failure analysis workflows.
Source: Artificial Intelligence in Multimodal Microscopy Workflows for Failure Analysis | ZEISS