AI Isn't Killing Entry Level Jobs. It's Killing the Career Ladder Those Jobs Were Built On
Over 500 million young people under 24 are already in the labor force. A third work in occupations where AI is reshaping tasks right now. But the real paradox: 68% became more productive, while 45% work longer hours. A look at why entry level is no longer the first rung of the career ladder, and what that means.
The Twilight of Chatbots: Why Your AI Workflow Is Already Obsolete
You stopped being surprised by what seemed like science fiction yesterday. We are inside an exponential curve, and the real shift is not in the models, but in how we work with them. From dialog with chatbots to managing agents, from prompt engineering to domain expertise.
Work Rhythms: What Anthropic Learned From Millions of Claude Sessions
What happens when a company sees every session of its model not in weekly snapshots but continuously, hour by hour? Anthropic delivered an X-ray of daily life: recipes at 6 p.m., tax filings the day before the deadline, late-night work by marketers, and the hope that AI will take the drudgery and leave the meaning to humans.
The World in the Model's Mind: How Orca from BAAI Changes Our Understanding of Intelligence
What if we have been measuring model intelligence wrong? Orca proposes teaching AI to predict the next state of the world, rather than generating responses. A frozen 4B parameter backbone and two learning mechanisms that resemble human cognition.
LLMs Reflect Their Creators' Ideology. What the New Study Reveals
Nineteen language models were asked to describe nearly 4,000 political figures. The result wasn't just different, it was predictably different: every LLM thinks through its creators' lens. This raises a question not about bias, but about who controls our view of the world.
Prompts, Workflows and Agents: a Ladder, Not Three Different Tools
The longer the prompt, the stranger the answer. The solution came from an unexpected place: the divide-and-conquer principle applied to prompt engineering. How to build a pipeline of simple steps and not jump to agents when two prompts with a conditional would have been enough.
10 Principles That Turn an AI Agent from a Toy into a Working Tool
Most people use AI agents like a smart search engine: ask, get an answer, forget. Here are 10 principles that turn a chatty intern into a digital employee working 24/7.
The Wrong Abstraction: Why Duplication Is Better Than Perfect Code
One innocent refactoring, five parameters, and a decade of technical debt. How the wrong abstraction eats your codebase alive.
The Woman Who Said No to the Pentagon, Google, and the Tech World
Meredith Whittaker on Project Maven, what separates Signal from WhatsApp, and why AI agents may become the next major threat to privacy.
When Models Stop Thinking Left to Right
Text diffusion models may weaken one of AI safety's familiar assumptions: that reasoning can be monitored as a sequential chain of thought.
From Balls to Consciousness: Testing Natural Abstractions
Alignment theories need more than elegant mathematics; they need test cases that range from simple objects to concepts like monogamy and consciousness.
Safety, Agency, and the Difference Between Constraint and Choice
For agentic AI systems, there is a crucial difference between being unable to cause harm and consciously choosing not to.
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