The AI Boom Is Minting Billions — But Not Jobs
Silicon Valley has never had so much cash. It also has a growing crowd of senior engineers who can’t get a callback. The New York Post profiled several of them this week. Their stories point
Silicon Valley has never had so much cash. It also has a growing crowd of senior engineers who can’t get a callback. The New York Post profiled several of them this week. Their stories point

Anthropic economists just measured the distance between what robots can do and what robots can afford to do. The distance is wide. It changes how to read the AI jobs debate. Most coverage splits into

Modern AI is dominated by systems that learn patterns from data rather than following only hand-written rules — though older approaches like rule-based expert systems and search algorithms still count too. Facts about it go

Security assessments are rarely the weak link. Most organizations can produce a thorough audit, a detailed penetration test, or a risk register that accurately describes where exposure sits. The failure arrives afterward. Findings need triage,

A claim can trend before a single stranger believes it. Ten replies. Fifty likes. A dozen profiles nodding along. The thread looks like a crowd. Often it is one operator with a prompt and a

Email remains the most common way sensitive information leaves an organization, and rarely because anyone intended it. A spreadsheet lands on the wrong thread. A customer list goes to a personal account for convenience. Autocomplete

Something unusual happened this week. The people racing to build the most powerful AI systems in history stood up in public and said the race itself might kill everyone. Jacob Coxon didn’t leave Anthropic quietly.

Vibe coding isn’t bad by itself. It’s risky when it’s used for the wrong job. The term describes building software by describing what you want in plain English and accepting the AI’s output largely on

Most ML models don’t break because somebody wrote bad code. They break because the training data never resembled the world the model got deployed into. Facial recognition trained mostly on lighter-skinned faces misidentifies darker ones.

A patient with shoulder pain used to type a query into Google, scan five blue links, and click one. Now Google often answers the question directly, on the results page, before a single link gets