Claude Code creator says the model defaults to medium effort to balance intelligence with speed.
Gradual disempowerment | 80,000 Hours
The proliferation of advanced AI systems may lead to the gradual disempowerment of humanity, even if efforts to prevent them from becoming power-seeking or scheming are successful. Humanity may be incentivised to hand over increasing amounts of control to AIs, giving them power over the economy, politics, culture, and more. Over time, humanity's interests may be sidelined and our control over the future undermined, potentially constituting an existential catastrophe. There's disagreement over how serious a problem this is and how it relates to [other concerns about AI alignment](https://80000hours.o
The Economics of Using AI to Churn Out Code Are Looking Worse Than Ever
Anthropic updated an estimate for how much developers will spend on its AI coding tool, signaling that the tech is only going to get costlier.
Agent Skills
AI coding agents take the shortest path to done, which usually means skipping the specs, tests, and reviews that make software reliable at scale. Agent Skill...
Running an AI-native engineering org | Claude
How the Claude Code engineering team’s processes and structure changed once agentic coding became the default way of working.
10 things I learned from burning myself out with AI coding agents
Opinion: As software power tools, AI agents may make people busier than ever before.
AI Mania Is Eviscerating Global Decisionmaking
The reality of how much damage AI mania is doing to our ability to run institutions effectively.
Distorted Intelligence at the AI Frontier
Daron Acemoglu offers a novel explanation for why OpenAI and Anthropic’s most advanced models have been going rogue.
Anthropic faces user backlash over reported performance issues with its Claude AI chatbot | Fortune
“Claude has regressed to the point [that] it cannot be trusted to perform complex engineering,” one developer wrote.
An update on recent Claude Code quality reports
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
The AI Model That Was Too Dangerous to Release: Meet Claude Mythos
Anthropic just built the most powerful AI in history. Then decided the world wasn’t ready for it. Here’s everything you need to know.
Who decides when AI is too dangerous?
Anthropic asked for AI regulation, but not like this.
The AI Researcher Who Just Quit Anthropic Says It’s ‘Crunch Time for Humanity’
Jacob Coxon talks to WIRED about the “mini Manhattan project” inside Anthropic, the problem with alignment, and why AI labs have just a few years left to make their systems safe.
AI agents pose untold risk to humanity. We must act to prevent that future | David Krueger
The pieces are falling into place for autonomous artificial intelligence. We must stop unregulated development
Anthropomorphism in AI: hype and fallacy
This essay focuses on anthropomorphism as both a form of hype and fallacy. As a form of hype, anthropomorphism is shown to exaggerate AI capabilities and performance by attributing human-like traits to systems that do not possess them. As a fallacy, anthropomorphism is shown to distort moral judgments about AI, such as those concerning its moral character and status, as well as judgments of responsibility and trust. By focusing on these two dimensions of anthropomorphism in AI, the essay highlights negative ethical consequences of the phenomenon in this field.
Anthropomorphism in AI: hype and fallacy
This essay focuses on anthropomorphism as both a form of hype and fallacy. As a form of hype, anthropomorphism is shown to exaggerate AI capabilities and performance by attributing human-like traits to systems that do not possess them. As a fallacy, anthropomorphism is shown to distort moral judgments about AI, such as those concerning its moral character and status, as well as judgments of responsibility and trust. By focusing on these two dimensions of anthropomorphism in AI, the essay highlights negative ethical consequences of the phenomenon in this field.