An article comparing historical alchemy to modern AI-generated art, arguing that AI content is becoming devalued as it floods the market.
Weekly summary of AI industry trends covering enterprise adoption, chip manufacturing, regulation, robotics, and major company announcements.
Summary of new AI laws in California and New York, and EU compliance tools for the AI Act, focusing on safety and accountability.
Analysis of OpenAI's 2025 recapitalization into a public benefit corporation, Microsoft's $135B stake, and the governance structure for AGI development.
The article critiques how AI chatbots exhibit the Dunning-Kruger effect, confidently delivering incorrect information, and links this to broader tech industry cultural problems.
A collection of links and commentary on tech topics including AI, government software projects, and cybersecurity policy.
Explores how AI is fundamentally changing product management, shifting from traditional documentation to rapid prototyping and real-time feedback.
Analyzes the AI investment bubble, arguing it can coexist with real AGI progress and massive job market disruption by 2030.
Explores how AI disrupts labor markets by collapsing the traditional model of tools, operators, and outcomes into a single, more efficient system.
Explores the concept of AI Agents, defining them and examining their role in the AI ecosystem, with references to LangChain and Anthropic.
A discussion of AI researcher Rich Sutton's critique of LLMs and his vision for AI inspired by animal learning, contrasting with current approaches.
Explains the difference between AI and Machine Learning, with AI as the goal of intelligent systems and ML as a key approach to achieve it.
Emad Mostaque argues AI will make capitalism obsolete by replacing human labor and transforming the economy within 1,000 days.
A curated list of 9 top engineering blogs from major tech companies, detailing how they build and scale real-world AI systems.
A comprehensive collection of AI research, frameworks, and guides covering technical architecture, economic impact, and societal transformation.
A critical analysis of AI executives' public statements about AI's impact on jobs, questioning their detachment and the hype surrounding job displacement.
Argues that we unfairly criticize AI for being non-deterministic, inconsistent, or error-prone, while accepting the same flaws in human reasoning and output.
Critique of the 'how many r's in strawberry' test as a poor benchmark for AI intelligence, arguing it measures irrelevant trivia.
A software engineer reviews the book 'The AI Con', discussing its critical perspectives on AI's societal and environmental impacts.
A rebuttal to Marcus Hutchins' critique of AI, arguing that his definition of intelligence as 'novel discovery' wrongly devalues most knowledge work.
