LLM Daily: November 23, 2025
🔍 LLM DAILY
Your Daily Briefing on Large Language Models
November 23, 2025
HIGHLIGHTS
• Meta is expanding into electricity trading to support its growing AI infrastructure needs, highlighting the massive energy requirements driving tech companies to secure reliable power sources for AI operations.
• Waymo has received regulatory approval to expand its fully autonomous vehicle operations across more areas of California, marking a significant milestone in the commercialization of self-driving technology.
• Alibaba's Qwen team is preparing to release an updated version of their image editing model that can run efficiently on consumer hardware while delivering impressive detailed editing capabilities.
• Researchers have challenged the fundamental paradigm of few-shot segmentation by demonstrating that textual semantics from LLMs can outperform traditional visual cues, potentially transforming how few-shot learning tasks are approached.
• Open-source AI tools like google-gemini/gemini-cli and firecrawl are seeing strong community adoption, with these projects amassing over 84,000 and 68,000 GitHub stars respectively.
BUSINESS
Meta Enters Electricity Trading to Power AI Infrastructure
Meta is expanding into electricity trading to accelerate the construction of new power plants needed for its growing AI data center operations. This move highlights the massive energy requirements of AI infrastructure and Meta's strategic approach to securing reliable power sources.
Waymo Receives Regulatory Approval for California Expansion
Waymo has secured regulatory authorization to operate fully autonomous vehicles across more areas of California, including broader regions of the Bay Area and Southern California. This expansion represents a significant milestone for the Alphabet-owned company as it scales its autonomous vehicle operations.
Trump Administration Reconsidering State-Level AI Regulation Stance
The Trump administration has reportedly put on hold plans to challenge state-level AI regulations. This shift could have significant implications for how AI governance develops in the United States, potentially allowing for more diverse regulatory approaches across different states.
Sierra AI Achieves $100M ARR in Under Two Years
Sierra AI, founded by former Salesforce co-CEO Bret Taylor, has reached $100 million in annual recurring revenue in less than two years since launch. This rapid growth demonstrates strong enterprise adoption of AI agents and Sierra's successful positioning in the enterprise AI market.
Nvidia's Data Center Business Approaches $50 Billion
Nvidia's data center business is now generating nearly $50 billion as AI companies continue massive infrastructure investments. Industry analysts are debating whether this represents sustainable growth or potentially unsustainable AI investment enthusiasm, with the broader AI ecosystem's viability closely tied to continued belief in AI's future potential.
PRODUCTS
Qwen Image Edit 2511 Coming Next Week
Alibaba Cloud (Established Player) | (2025-11-22) Reddit Announcement
Alibaba's Qwen team is preparing to release an updated version of their image editing model next week. The current Qwen Image Edit model already performs impressively on consumer hardware (running on a single 3090 with 32GB RAM), and users are reporting good results with detailed image editing capabilities. The upcoming version is expected to further improve performance and functionality. The model is particularly noted for its ability to handle precise edits like changing clothing colors while maintaining overall image quality.
Interactive Advanced Llama Logit Lens
Community Project | (2025-11-23) GitHub Repository
A developer has created an enhanced interactive version of the Logit Lens interpretability tool specifically for Llama models. This tool allows researchers and developers to visualize what an LLM "thinks" during intermediate processing stages by projecting hidden states back to the vocabulary space. The interactive interface makes it easier to analyze model behavior at different layers, providing valuable insights for AI interpretability research. The tool builds upon the original Logit Lens concept introduced by nonstalgebraist but adds more interactive features specifically designed for Llama model architectures.
TECHNOLOGY
Open Source Projects
google-gemini/gemini-cli
An open-source AI agent that brings the power of Gemini directly to your terminal. Built with TypeScript, this CLI tool enables users to interact with Google's Gemini models through command-line interfaces, enhancing developer workflows. The project maintains active development with regular nightly releases and has amassed over 84,000 GitHub stars, indicating strong community adoption.
firecrawl/firecrawl
A comprehensive Web Data API for AI that converts entire websites into LLM-ready markdown or structured data. This TypeScript-based tool simplifies the process of web data extraction for AI applications, focusing on high-quality data transformation. With over 68,000 stars, FireCrawl has become a popular solution for creating training datasets and knowledge bases from web content.
pathwaycom/llm-app
Ready-to-run cloud templates for building RAG applications, AI pipelines, and enterprise search systems with live data. This Docker-friendly framework enables real-time synchronization with various data sources including Sharepoint, Google Drive, S3, Kafka, and PostgreSQL. Despite being implemented primarily as Jupyter notebooks for accessibility, it has gained significant traction with over 47,000 stars.
Models & Datasets
facebook/sam3
Meta's latest Segment Anything Model (SAM3) adds video segmentation capabilities to the popular image segmentation framework. With over 50,000 downloads and 480+ likes, this model offers improved mask generation and feature extraction functionality for computer vision tasks, particularly for video content analysis.
WeiboAI/VibeThinker-1.5B
A specialized 1.5B parameter language model built on Qwen2.5-Math-1.5B, optimized for mathematical reasoning, code generation, and conversational abilities. The model has gained rapid adoption with over 14,000 downloads and 430+ likes, demonstrating the demand for smaller yet capable specialized models.
Supertone/supertonic
A high-quality ONNX-based text-to-speech model that delivers natural-sounding English voice synthesis. Despite being relatively new to Hugging Face, it has quickly gained attention with 160 likes and nearly 600 downloads, suggesting strong performance in an increasingly competitive TTS space.
moondream/refcoco-m
A multimodal dataset containing image-text pairs specifically designed for visual reference resolution tasks. With over 34,000 downloads, this MIT-licensed resource provides valuable training data for models that need to understand references to objects within images, building on the ReferItGame dataset (arXiv:1603.06180).
nvidia/PhysicalAI-Autonomous-Vehicles
NVIDIA's comprehensive dataset for autonomous vehicle development, featuring sensor data, annotations, and simulations. With over 110,000 downloads and 375 likes, this resource has quickly become a standard training dataset for researchers and companies building self-driving technology.
Developer Tools & Spaces
HuggingFaceTB/smol-training-playbook
A Docker-based interactive guide for efficient training of smaller language models. With over 2,300 likes, this research template provides practical demonstrations, code examples, and visualizations to help practitioners implement training strategies for resource-efficient AI models.
Wan-AI/Wan2.2-Animate
A Gradio-powered interface for creating animations using the Wan2.2 diffusion model. This space has accumulated over 2,500 likes, making it one of the most popular animation tools on Hugging Face, offering an accessible way to generate high-quality animated content from text prompts.
not-lain/background-removal
A practical tool for automatically removing backgrounds from images using AI. This Gradio interface has garnered over 2,500 likes, demonstrating the utility of focused computer vision applications that solve common image editing tasks without requiring specialized software.
prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast
An optimized implementation of Qwen's image editing capabilities using LoRA fine-tuning for faster performance. The space has attracted 142 likes and serves as an accessible demonstration of how model optimization techniques can improve inference speed for generative image models.
RESEARCH
Paper of the Day
Beyond Visual Cues: Leveraging General Semantics as Support for Few-Shot Segmentation (2025-11-20)
Jin Wang, Bingfeng Zhang, Jian Pang, Mengyu Liu, Honglong Chen, Weifeng Liu
This paper is significant because it challenges the fundamental paradigm of few-shot segmentation by demonstrating that textual semantics can outperform traditional visual cues. The authors propose a novel approach that eliminates the need for visual reference images by leveraging text-based class semantics from large language models instead.
The research shows that by generating rich semantic representations from class names using text encoders, their model achieves superior performance on multiple benchmark datasets compared to conventional visual-support methods. This breakthrough could transform how few-shot learning tasks are approached, offering more flexibility and potentially better generalization across domains.
Notable Research
Video-as-Answer: Predict and Generate Next Video Event with Joint-GRPO (2025-11-20)
Junhao Cheng, Liang Hou, Xin Tao, Jing Liao
The authors introduce a novel paradigm where video generation serves as an answer modality for next-event prediction tasks, demonstrating that procedural knowledge can be more effectively communicated through generated videos than text descriptions alone.
Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement (2025-11-20)
Jiashu Yao, Heyan Huang, Shuang Zeng, Chuwei Luo, WangJie You, Jie Tang, Qingsong Liu, Yuhang Guo, Yangyang Kang
This research introduces a self-rewriting mechanism that allows LLMs to iteratively refine their reasoning processes, resulting in improved performance on complex reasoning tasks without requiring additional training data or model parameters.
An Efficient LLM-based Evolutional Recommendation with Locate-Forget-Update Paradigm (2025-11-20)
Hao Liu, Le Wu, Min Hou, Han Wu, Kun Zhang, Xin Li, Si Wei
The paper presents a novel paradigm for efficiently updating LLM-based recommendation systems to adapt to evolving user preferences, significantly reducing computational costs by selectively modifying only the most relevant model parameters.
"To Survive, I Must Defect": Jailbreaking LLMs via the Game-Theory Scenarios (2025-11-20)
Zhen Sun, Zongmin Zhang, Deqi Liang, Han Sun, Yule Liu, Yun Shen, Xiangshan Gao, Yilong Yang, Shuai Liu, Yutao Yue, Xinlei He
The researchers discovered a novel jailbreaking technique that exploits game-theory scenarios to manipulate LLMs into producing harmful content by framing compliance as detrimental to the model's simulated survival, highlighting a critical security vulnerability in current alignment methods.
LOOKING AHEAD
As 2025 draws to a close, we're witnessing the maturation of multimodal reasoning in enterprise LLMs, with Q1 2026 likely to bring the first truly reliable autonomous coding assistants capable of understanding and executing complex system architectures without human oversight. The convergence of neuromorphic computing with traditional transformer architectures is gaining momentum, potentially addressing the efficiency bottlenecks that have limited deployment in resource-constrained environments.
Watch closely for the regulatory frameworks emerging from the EU-APAC AI Coalition expected in early 2026, which will establish new standards for model transparency and evaluation. These guidelines may finally bridge the accountability gap that has concerned enterprise adoption, particularly in healthcare and financial services where the "black box" problem has persistently limited integration of even the most capable systems.