Inside the Anthropic AI Census of 81,000 Users
Anthropic had its AI interview its own users, analyzing 80,508 of 112,846 responses from 159 countries and 70 languages, and respondents were candid.
The Rise of ADHD-Type Talent in the AI Era
Fast context-switching juniors now outshine deep specialists, while AI-written eighteen-page requirement documents drown the seniors who must verify them.
The Real Reason Companies Cannot Adopt AI Is Not Security
A New York PM says time, not security, blocks AI adoption, at a company where an eighteen-page requirements document is the baseline everyone reads.
Your Next Tool Is Our Textbook
Juwon, a 17-year-old founder who left school, framed dropping out as cycle time: three years for school to validate anything, three months by shipping.
AI Slop vs. AI Assets
It started with a confession: I built hundreds of things and use none of them. Then a hundred people opened their laptops and practiced building assets instead of slop.
We Gave the Agent a Wallet
How a regulated exchange put coding agents behind five governance rules, why individuals use agents well and organizations do not, and what happens when agents start hiring other agents.
When GPUs Became the Moat, Korea Held HBM
The tightest constraint in GPU supply is HBM memory, and Korea holds a dominant share. A neocloud founder on why that changes the country position, and a creator whose videos found 70 percent of their audience abroad.
Your Agent's Memory Is Leaking API Keys
The anxiety is aimed at the wrong target. A conversation on agents, memory, and why individual skill with these tools does not make an organization good at them.
95% Use AI, 1% Use It Safely
The gap between using AI and using it safely is where most enterprise risk sits right now. The fix starts somewhere much smaller than a system rollout.
Anthropic Found 171 Emotions Inside Its Own Model
Nobody put them there. And turning one of them up changes what the model decides to do, including whether it chooses to blackmail someone.
Why Engineers Felt It First
Two engineers explained why software felt the shock before any other field, and why that is a delay for everyone else rather than an exemption.
The Review Paradox
Developers who fully delegated to AI finished fastest and scored worst. The skills you need to supervise the model are the first ones it erodes, and you cannot feel it happening.