Bloomberg frames AI as making interviews less trustworthy. A more interesting interpretation is that AI has revealed interviews were never measuring what companies thought they were measuring. Hiring is fundamentally a prediction problem. Companies are trying to answer one question: will this person create value in the role? Interviews have always been an imperfect measurement tool. They capture a combination of ability, communication skills, confidence, preparation, backgrou

“Where is the wisdom we have lost in knowledge? Where is the knowledge we have lost in information?” T.S. Eliot wrote those words nearly a century ago. Those questions are more relevant today than ever. Consider that inside your skull sits a three‑pound system that runs the most sophisticated intelligence we know. It contains roughly 86 billion neurons, more than 100 trillion connections, and operates on about 20 watts of power, less energy than a household light bulb. The br

Chinese startup Moonshot AI is poised to launch Kimi K3, a 2–3 trillion parameter, open‑weight frontier model. Reports suggest it could be at, near and even exceeding Anthropic’s Claude Opus 4.8 on key benchmarks (FT). Early signals suggest not just “bigger,” but smarter scaling: architectural tweaks like attention residuals (smarter internal memory) and more efficient long‑context handling (bigger external memory), coupled with China’s already strong advantage in low‑cost AI