A reference manual for the extensible, customizable, self-documenting real-time display editor. This manual corresponds to EMACS version 162.
This article details a method for training large language models (LLMs) for code generation using a secure, local WebAssembly-based code interpreter and reinforcement learning with Group Relative Policy Optimization (GRPO). It covers the setup, training process, evaluation, and potential next steps.
Huginn is presented as a robust, open-source alternative to IFTTT, offering greater customization, privacy through self-hosting, and the ability to handle complex workflows with API integrations. While it requires more technical expertise than IFTTT, it provides significantly more power and control.
This article details how Coda and Grammarly integrate to improve team workflows, communication, and overall productivity. It highlights features like Coda's all-in-one workspace, AI assistance, and Grammarly's AI-powered writing tools for clarity, branding, and insight.
学研ホールディングスのグループ会社Gakkenが発行する『AIの世界へようこそ』が、第40回電気通信普及財団賞「テレコム学際研究賞」にて特例表彰されました。小学生などを対象とした平易な解説書が選出されるのは極めて異例です。本書は、AIの仕組みやメリット・危険性を分かりやすく示し、AI時代における幸せや未来について問いかけます。
Researchers have shown that heavy alcohol use leads to long-term cognitive impairments by damaging brain circuits responsible for decision-making in a rat model. The effects were found in the dorsomedial striatum, a decision-making hub, and were linked to poor judgment and relapse in people with alcohol use disorder.
A popular and actively maintained open-source web crawling library for LLMs and data extraction, offering advanced features like structured data extraction, browser control, and markdown generation.
This script defines logging functions for Bash scripts, including verbose, debug, info, warn, error, and stack trace functionalities.
Google releases Gemma 3, a new iteration of their Gemma family of models. It ranges from 1B to 27B parameters, supports up to 128k tokens, accepts images and text, and supports 140+ languages. This article details its technical enhancements (longer context, multimodality, multilinguality) and provides information on inference with Hugging Face transformers, on-device deployment, and evaluation.
Newsweek interview with Yann LeCun, Meta's chief AI scientist, detailing his skepticism of current LLMs and his focus on Joint Embedding Predictive Architecture (JEPA) as the future of AI, emphasizing world modeling and planning capabilities.
