LLM Daily: November 14, 2025
🔍 LLM DAILY
Your Daily Briefing on Large Language Models
November 14, 2025
HIGHLIGHTS
• Venture capital firms are abandoning traditional investment rules for AI startups, signaling a significant shift in evaluation metrics as WisdomAI secures $50M in funding from Kleiner Perkins and Nvidia for their AI-driven data analytics solutions.
• Meta's Yann LeCun has published groundbreaking research on LeJEPA, introducing a lean, scalable training objective for Joint-Embedding Predictive Architectures that advances how AI models learn manipulable representations of the world.
• Researchers have demonstrated that LLMs can effectively serve as "world models" for user preferences in slate recommendation systems, potentially transforming how recommendation algorithms are designed and evaluated.
• The open-source community continues to innovate with powerful new tools including google-gemini/gemini-cli (bringing Gemini to the terminal) and firecrawl, which converts websites into LLM-ready markdown for improved AI content processing.
• Creative AI applications are expanding rapidly as demonstrated by a creator who developed an entire music video using Wan2.2, showcasing the growing capabilities of video generation models with minimal processing requirements.
BUSINESS
Funding & Investment
VCs Changing Rules for AI Startup Investments
Venture capital firms are abandoning traditional investment rules when it comes to AI startups, adjusting expectations for growth metrics and product features. This signals a significant shift in how investors evaluate AI companies in the current market. (TechCrunch, 2025-11-13)
WisdomAI Raises $50M in Funding Round Led by Kleiner Perkins and Nvidia
AI data analytics startup WisdomAI has secured $50 million in new funding. The company specializes in AI-driven solutions that can analyze structured, unstructured, and even "dirty" data (containing typos or errors) to answer business questions. (TechCrunch, 2025-11-12)
Company Updates
Apple Tightens Rules on Apps Sharing Data with Third-Party AI
Apple has updated its App Store guidelines to restrict how apps can share personal data with third-party AI services. The new rules require explicit permission and disclosure when user data is shared with external AI systems, signaling Apple's growing concerns about AI privacy. (TechCrunch, 2025-11-13)
Google Enhances NotebookLM with "Deep Research" Tool
Google has rolled out "Deep Research," a new feature for its NotebookLM service designed to automate and simplify complex online research. The update also includes support for more file types, expanding the platform's capabilities. (TechCrunch, 2025-11-13)
Google Debuts SIMA 2 Agent Powered by Gemini
Google DeepMind has introduced SIMA 2, an advanced AI agent that uses Gemini to reason and act in virtual environments. The system can complete complex tasks in previously unseen environments and incorporates self-improvement capabilities, representing a step toward more general-purpose robots and AGI systems. (TechCrunch, 2025-11-13)
LinkedIn Launches AI-Powered People Search
LinkedIn has introduced new AI-powered search functionality designed to help users find people more effectively on the platform. This represents the latest AI integration into the professional networking service. (TechCrunch, 2025-11-13)
ElevenLabs Partners with Celebrities for AI Voice Generation
AI audio company ElevenLabs has secured deals with actors Michael Caine and Matthew McConaughey to AI-generate their voices, marking a significant development in commercial voice AI licensing arrangements with high-profile talent. (TechCrunch, 2025-11-12)
Legal & Regulatory
German Court Rules Against OpenAI in Copyright Case
A German court has ruled that OpenAI's ChatGPT violated the country's copyright laws by training its language models on licensed musical work without permission. The court has ordered the company to pay damages, creating a potential precedent for similar cases globally. (TechCrunch, 2025-11-12)
PRODUCTS
New Research from Meta's Yann LeCun: LeJEPA
Meta AI researchers led by Yann LeCun have published a new paper on LeJEPA (2025-11-13), presenting a comprehensive theory of Joint-Embedding Predictive Architectures (JEPAs). The research introduces a lean, scalable, and theoretically grounded training objective that could advance how AI models learn manipulable representations of the world and its dynamics. This work represents an important advancement in Meta's AI research agenda and potential future AI system architectures.
AI Music Video Creation with Wan2.2
A creator has developed a complete music video using Wan2.2 (2025-11-13), showcasing the growing capabilities of video generation models. The workflow utilized Wan2.2 in FP8 precision with 6 steps (2 high noise, 4 low noise steps) combined with a lighting LoRA and image initialization from nanobanana. This demonstrates how open-source AI video models continue to evolve for creative applications, enabling individual creators to produce professional-quality content that previously required substantial teams and resources.
Controversy: IBM Patents Traditional Math Technique as "AI Interpretability"
IBM researchers have reportedly patented (2025-11-13) what appears to be a 200-year-old mathematical technique (Continued Fractions) by implementing it as linear layers in PyTorch and calling it an AI interpretability method. This has sparked controversy in the AI community, as it raises questions about the patent system's handling of mathematical techniques when reframed as AI methodologies. The patent could potentially affect mechanical engineers, roboticists, and mathematicians who use derivatives or power series to work with continued fractions in PyTorch implementations.
TECHNOLOGY
Open Source Projects
google-gemini/gemini-cli
An open-source AI assistant that brings Gemini directly into your terminal. The CLI tool provides a seamless way to interact with Google's Gemini models through a terminal interface, with 82K+ stars showing strong community interest. Recent updates include authentication improvements and UI enhancements for sticky headers.
firecrawl/firecrawl
A Web Data API for AI that converts websites into LLM-ready markdown or structured data. With 67K+ stars, this TypeScript project serves as a powerful scraping solution specifically optimized for AI content processing. Recent commits focused on fixing document scraping loops and JSON input handling in the Python SDK.
pathwaycom/llm-app
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data synchronization. This Docker-friendly repository (46K+ stars) provides integration with Sharepoint, Google Drive, S3, Kafka, PostgreSQL and other data sources. Recent commits show the project is restructuring to improve template organization.
Models & Datasets
moonshotai/Kimi-K2-Thinking
The "thinking" version of Moonshot AI's Kimi-K2 language model that exposes the model's intermediate reasoning steps. With 1,141 likes and over 100K downloads, this model is designed for conversational applications and reveals the reasoning process that leads to the final response.
baidu/ERNIE-4.5-VL-28B-A3B-Thinking
Baidu's multimodal model that combines vision and language capabilities with exposed reasoning steps. This 28B parameter model supports both English and Chinese, handling image-text-to-text tasks with transparent intermediate thinking processes.
maya-research/maya1
A Llama-based model from Maya Research that offers both text generation and text-to-speech capabilities. With 550 likes and 18K+ downloads, it's Apache-licensed and compatible with multiple deployment options including Text Generation Inference and Hugging Face Endpoints.
builddotai/Egocentric-10K
A comprehensive dataset for egocentric vision research containing 10,000 examples. With 203 likes and nearly 13K downloads since its November 11th release, this Apache-licensed dataset provides first-person perspective data for AI training.
facebook/omnilingual-asr-corpus
Meta's multilingual speech corpus for automatic speech recognition and audio classification. Supporting hundreds of languages (as indicated by its extensive language tags), this dataset has garnered 106 likes and 8.5K+ downloads, making it a valuable resource for building ASR systems with broad language coverage.
Developer Tools & Spaces
HuggingFaceTB/smol-training-playbook
A Docker-based space providing a comprehensive playbook for efficient model training strategies. With over 2,100 likes, it offers research paper-style documentation and data visualization tools to help developers optimize their training workflows.
stepfun-ai/Step-Audio-EditX
A Gradio interface for audio editing using AI. The space allows users to make precise modifications to audio content using advanced AI techniques, attracting 54 likes despite being relatively new.
Wan-AI/Wan2.2-Animate
A highly popular animation demo space using Wan AI's 2.2 model, amassing 2,404 likes. Built with Gradio, it demonstrates the latest capabilities in AI-powered animation generation and editing.
Miragic-AI/Miragic-Virtual-Try-On
A virtual clothing try-on application with 453 likes. This Gradio-based tool allows users to visualize themselves wearing different garments without physically changing clothes, highlighting advances in AI fashion technology.
RESEARCH
Paper of the Day
LLM-as-a-Judge: Toward World Models for Slate Recommendation Systems (2025-11-06)
Baptiste Bonin, Maxime Heuillet, Audrey Durand
This paper from researchers examining how large language models can serve as world models for user preferences in slate recommendation systems represents a significant advance in recommendation technology. The researchers conducted empirical studies across multiple LLMs and datasets, demonstrating that LLMs can effectively model complex user preferences through pairwise reasoning over slates. This work bridges the gap between natural language understanding and personalized recommendation systems, potentially transforming how recommendation algorithms are designed and evaluated.
Notable Research
Effectiveness of Chain-of-Thought in Distilling Reasoning Capability from Large Language Models (2025-11-07)
Cong-Thanh Do, Rama Doddipatla, Kate Knill
This research examines how Chain-of-Thought (CoT) prompting can be leveraged in knowledge distillation to transfer reasoning capabilities from larger LLMs to smaller ones, providing valuable insights into making smaller models more capable of complex reasoning tasks.
Lingyao Li, Zhijie Duan, Xuexin Li, Xiaoran Xu, Zhaoqian Xue, Siyuan Ma, Jin Jin
This study analyzes the collaboration networks in biomedical LLM research through examination of 5,674 papers, revealing how LLMs are restructuring scientific collaboration patterns, participation, and resource distribution in the biomedical field.
LOOKING AHEAD
As we approach 2026, the convergence of multimodal reasoning and specialized domain expertise in LLMs is accelerating. The recent emergence of self-supervised hardware optimization models is enabling AI systems to co-design their own infrastructure, potentially addressing the computational bottlenecks that have constrained development. Meanwhile, the regulatory landscape continues to evolve, with the EU's AI Harmony Framework expected in Q1 2026 and similar frameworks developing in Asia-Pacific regions.
Watch for breakthroughs in neural-symbolic integration during Q1-Q2 2026, as research teams make progress on combining LLMs' pattern recognition capabilities with explicit reasoning structures. This hybrid approach may finally deliver on the promise of explainable AI while maintaining the performance advantages of large-scale models, particularly in high-stakes domains like healthcare and autonomous transportation.