Reports on high-profile resignations within Alibaba's Qwen AI team, including its lead researcher, raising questions about the project's future.
Reports on high-profile resignations and internal reorganization within Alibaba's Qwen AI team, raising questions about the project's future.
The New York Times uses a custom AI tool called the 'Manosphere Report' to track and analyze podcast content for news coverage.
The New York Times uses a custom AI tool called the 'Manosphere Report' to track and analyze podcast content for journalistic coverage.
A 4.5-hour interview discussing the state of AI in 2026, covering LLMs, geopolitics, training, open vs. closed models, AGI timelines, and industry implications.
A 4.5-hour interview discussing the state of AI in 2026, covering LLMs, geopolitics, training, open vs. closed models, AGI timelines, and industry implications.
Anthropic publicly released Claude AI's internal 'constitution', a 35k-token document outlining its core values and training principles.
Anthropic publicly releases Claude AI's internal 'constitution', a lengthy document detailing its core values and training principles.
Experiments with AI coding agents building a web browser from scratch, generating over a million lines of code in a week.
Explores the risk of AI model collapse as LLMs increasingly train on AI-generated synthetic data, potentially degrading future model quality.
Apple licenses Google's 1.2T-parameter Gemini AI for Siri in a $1B/year deal, a strategic interim step before its own model in 2026.
Explores Abstraction of Thought (AoT), a structured reasoning method that uses multiple abstraction levels to improve AI reasoning beyond linear Chain-of-Thought approaches.
A retrospective on ChatGPT's third anniversary, covering its surprising launch, initial internal skepticism, and unprecedented growth to 800 million users.
A guide to deploying Large Language Models (LLMs) on Azure Kubernetes Services (AKS) within an Azure Local lab environment, covering architecture and tools.
Wikipedia's new guideline advises against using LLMs to generate new articles from scratch, highlighting limitations of AI in content creation.
Moonshot AI's Kimi K2 Thinking is a 1 trillion parameter open-weight model optimized for multi-step reasoning and long-running tool calls.
A detailed academic history tracing the core ideas behind large language models, from distributed representations to the transformer architecture.
Explores the role of Large Language Models (LLMs) in AI, covering major model families, providers, and concepts like hallucinations.
Explores the limitations of using large language models as substitutes for human opinion polling, highlighting issues of representation and demographic weighting.
Explores the common practice of developers assigning personas to Large Language Models (LLMs) to better understand their quirks and behaviors.
