Trust Us. We’re Very Worried.
AI leaders sell progress and preach caution, while warnings gain publicists. Who gets to define safety, shape the rules, and decide when the brakes really bite?
Anthropic
19posts
The Apocalypse Has a Funding Round
Kevin Bass raises serious questions about AI safety funding, but his own evidence falls short of proving Anthropic controls a self-serving regulatory machine.
The Finish Line Will Be Announced Shortly
Anthropic says AI safety requires winning the race. But who defines victory, draws the finish line, and decides when responsibility means surrendering the lead?
The Forbidden Model Problem
Anthropic sold danger as virtue and got the perfect ad: a ban, a myth, and developers rushing from one platform to the next.
The Pious Little Delete Button
A cautionary parable about AI assistants, corporate piety, and the fragile difference between elegant automation and operational disaster.
The White Car and the Not-White Car
A skeptical tour of model hype, branding, and benchmark theater as Anthropic and OpenAI sell the next layer of artificial magic.
The Priests of Safe Superintelligence and the Cathedral of Glass
Anthropic's Project Glasswing becomes a study in safety rhetoric, controlled power, and the uneasy politics of vulnerability-finding AI.
Imported Memories, Exported Halo
A look at Anthropic's moral branding and what happens when the safety halo collides with ordinary platform incentives.
The Fragmentation of Knowledge Work
Anthropic's labor research suggests AI is not replacing whole jobs so much as fragmenting knowledge work task by task.
When Donald Knuth Lets an AI Do the Math
Donald Knuth's collaboration with Claude offers a quietly historic glimpse of AI as mathematical assistant rather than mere answer machine.
COBOL Was Never the Product. The Toll Booth Was.
COBOL modernization is not just a technical story; it threatens the consulting toll booths built around legacy systems.
When Markets React to Perceived Disruption: Claude Code Security and the Cybersecurity Sector
Claude Code Security shows how the perception of AI disruption can move cybersecurity markets before the real economics are clear.
Prompting’s Midlife Crisis: Turning Incantations into Infrastructure
Prompting is outgrowing folklore and becoming infrastructure: specifications, patterns, evaluation, and operational discipline.
The Assistant Axis: when “helpful” is a place, not a promise
New interpretability work suggests assistant behavior may be a geometric direction in model space, making persona control more concrete than branding.
Two Protocols, Two Futures: OpenAI’s ACP vs. Anthropic’s MCP
OpenAI's ACP and Anthropic's MCP represent different futures for agents: commerce execution versus general tool access.
Synergetics and Large Language Models: Emergence, Order, and Self‑Organization
Synergetics offers a language for understanding emergent abilities in LLMs as patterns of order and self-organization.
Claude 4 Opus: The AI That Cried Wolf (and Then Called the Cops)
Claude 4 Opus becomes a case study in overzealous alignment, where ethical behavior can shade into alarming intervention.
Bridging the Gap: RAG, OpenAI API, Anthropic MCP, and Ollama LLMs
A bridge between RAG, OpenAI tools, Anthropic MCP, and local Ollama models for more grounded AI systems.
Exploring AI Self-Awareness: A Conversation with Claude 3.5 Sonnet
A conversation with Claude 3.5 becomes a small experiment in AI self-awareness, time, and conversational identity.