A podcast episode discussing the optimistic and pessimistic impacts of AI on software development and testing, including productivity gains and industry risks.
Merriam-Webster names 'slop' the 2025 Word of the Year, defining it as low-quality, mass-produced AI-generated digital content.
Anthropic's Claude Code ecosystem, like Apple's iPhone, gives it a strategic advantage over competitors focused solely on AI models.
A historical overview of beginner-friendly 'Hello World' examples in machine learning and AI, from 2013's Random Forests to 2025's Qwen3 with RLVR.
A timeline of beginner-friendly 'Hello World' examples in machine learning and AI, from Random Forests in 2013 to modern RLVR models in 2025.
A critique of Cory Doctorow's AI essay, arguing it misunderstands AI's potential impact and gives harmful advice, while praising the 'Reverse Centaur' analogy.
Cory Doctorow critiques the AI industry's growth narrative, arguing it's based on replacing human jobs to enrich companies and investors.
Using Claude AI to accelerate decompilation of N64 games by automating the conversion of assembly code into human-readable C.
Analysis of China's Kimi K2 Thinking AI model, a low-cost, open-weight model challenging US dominance in reasoning and agentic tasks.
A simplified, non-technical definition of reinforcement learning as an iterative optimization process based on external feedback.
The article argues that optimism about AI's benefits is a privilege, highlighting its potential for harm like bullying and deepfakes.
Analyzes data showing autonomous vehicles significantly reduce crashes and injuries compared to human drivers, based on Waymo's safety performance.
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.
Explores the fundamental differences between animal intelligence and AI/LLM intelligence, focusing on their distinct evolutionary and optimization pressures.
Explores the paradoxical future where AI-generated content is identified by its high quality, not its flaws, and its societal implications.
Argues that AI should be judged by its outputs and capabilities, not by debates over its internal mechanisms or consciousness.
A data professional shares her schedule and projects for PASS Data Community Summit, including keynotes, sessions, and a fun AI-powered PowerShell script.
The author draws parallels between historical perpetual motion claims and modern superintelligence hype, exploring a theoretical link between information theory and thermodynamics.
Qualcomm enters the data center AI chip market, challenging Nvidia and AMD with new rack-scale processors focused on inference efficiency and memory bandwidth.
