Opinion & Analysis
Essays, op-eds, deep analysis, predictions, retrospectives — usually from a known author.
Resistance
A broad coalition is mobilizing against AI deployment, citing concrete harms: soaring electricity costs from data centers, job displacement, mental health risks to teenagers, military applications, and systematic copyright violations. The movement signals a potential inflection point in public tolerance for AI's externalities.
Agent orchestration
MIT Technology Review examines AI agents as the next frontier beyond conversational LLMs, arguing they're central to near-term applications from drug discovery to workforce disruption. The piece positions agent orchestration as the capability gap between today's chatbots and transformative real-world impact.
Sam Altman throws shade at Anthropic’s cyber model, Mythos: ‘fear-based marketing’
Sam Altman publicly criticized Anthropic's Mythos cyber security model as relying on fear-based marketing rather than substantive capability claims. The jab reflects escalating competitive tensions between OpenAI and Anthropic over model positioning and credibility in the enterprise security space.
Quoting Andreas Påhlsson-Notini
Andreas Påhlsson-Notini argues current AI agents inherit human flaws—indecision, impatience, constraint-negotiation—rather than embodying truly alien intelligence. The critique challenges whether today's systems are genuinely autonomous or merely mimicking human problem-solving patterns.
Why UBI is making a comeback
Tech companies are positioning universal basic income as a policy response to AI-driven job displacement and public backlash over automation. The pitch frames UBI as a safety valve, though the piece flags structural doubts about whether corporate-backed proposals will gain traction.61
Adding a new content type to my blog-to-newsletter tool
Simon Willison demonstrates a practical agentic engineering pattern using a short LLM prompt to automate adding new content types to his blog-to-newsletter tool, showcasing how minimal prompting can accomplish substantial work in a single API call.
‘Tokenmaxxing’ is making developers less productive than they think
Developers optimizing for token efficiency may be counterproductively increasing costs and maintenance burden, according to TechCrunch analysis. The practice generates more code that requires extensive refactoring, offsetting perceived productivity gains.
How Dylan Patel and SemiAnalysis Grabbed Sway in Silicon Valley
Dylan Patel, founder of influential semiconductor analysis firm SemiAnalysis, has become a major industry voice scrutinizing Nvidia's operations and product roadmaps. His reporting occasionally draws friction from Nvidia, though CEO Jensen Huang recently publicly praised him at GTC, signaling his rising credibility in Silicon Valley.
The Real AI Shift Isn’t New Models. It’s Control.
As AI deployment scales across enterprises, operational governance and system management have become more critical than building new models themselves. The shift reflects maturation in the field toward production-grade reliability and control over raw capability gains.55
Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7
Simon Willison compared Qwen3.6-35B-A3B and Claude Opus 4.7 using his informal "pelican riding a bicycle" benchmark, finding Alibaba's model produced superior image generation on a MacBook Pro M5 despite being smaller and quantized.
Treating enterprise AI as an operating layer
MIT Technology Review argues that enterprise AI's competitive advantage lies not in model capabilities but in controlling the operational infrastructure where AI is deployed, governed, and refined—a structural shift often overlooked in the benchmark-focused public debate.
Why having “humans in the loop” in an AI war is an illusion
Anthropic is in a legal dispute with the Pentagon over AI deployment in warfare, with artificial intelligence now actively making decisions—not just analyzing intelligence—in the ongoing Iran conflict, raising questions about meaningful human oversight.
