Brent Ozar shares lessons learned from using AI for backend automation, including adversarial development and cost-effective LLM strategies.
Analysis of Moonshot AI's Kimi K3 model with 2.8 trillion parameters, benchmarks, pricing, and the pelican SVG test.
Announcement of the release of 'Build a Reasoning Model (From Scratch)', a book on implementing modern AI reasoning techniques.
A critical take on AI, arguing it's not a person and shouldn't be anthropomorphized.
Explores whether prompt injection in AI systems is an unsolvable structural problem or just an unfixed vulnerability.
Release notes for llm 0.31, a command-line tool for accessing large language models, featuring GPT-5.5 support and new options.
Explores why AI can never be fully ethical or safe due to the fundamental inability to know context and intent.
Analysis of NVIDIA's Nemotron 3 Super 120B-A12B model focusing on accuracy-throughput trade-off with Mamba-2 and MoE layers.
OpenAI announces GPT-5.4 and GPT-5.4-Pro models with improved coding, document creation, and a 1M token context window.
Explores how large language models (LLMs) act as intimate cognitive interfaces, reshaping human thought through language and raising ethical concerns.
Reports on high-profile resignations and internal reorganization within Alibaba's Qwen AI team, raising questions about the project's future.
Reports on high-profile resignations within Alibaba's Qwen AI team, including its lead researcher, raising questions about the project's future.
Explores how AI hallucinations mirror Kant's philosophy of mind, arguing they are inherent to rational thought architecture, not software bugs.
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.
