July 26, 2026

The singularity won't be like it is in the movies

The episode's thesis would be this: the singularity, if it exists, won't be a cinematic moment. It will be a gradual normalization of capabilities that we once attributed only to expert humans. And when something becomes normalized, we stop seeing it as extraordinary. That's the cultural danger: that we accept too quickly

July 26, 2026

The truth behind AI-related layoffs

Let's discuss the underlying thesis. AI-related layoffs in 2026 do not prove that AI has already massively replaced technology workers: they show that companies are redesigning their structure around that promise.

July 25, 2026

AI Is Statistics Gone Wild: Why It Confused Grass with Dogs

The first thing you should know is that AI isn't the incomprehensible magic many people make it out to be, but it isn't as limited as skeptics would like either. Martorell defines it with a phrase that seems to me the most honest I've heard: artificial intelligence is statistics gone wild. It's an algorithm that has seen thousan

July 24, 2026

Claude Opus 5: Same price and twice the performance

Claude Opus 5 launches today, July 24, 2026, available through the API and on Claude.ai. It costs five dollars per million input tokens, twenty-five per million output tokens. The same as Opus 4.8. Same price, but more than twice the performance on some benchmarks. That's what Anthropic says. On Frontier-Bench, which measures complex software engineering tasks, it more than doubles what Opus 4.8 could do. And on CursorBench 3.2, which evaluates coding in a real-world context, it's half a percentage point below the ceiling reached by Fable 5, while costing half as much.

July 24, 2026

The U.S. plan to dominate scientific AI

The United States government has just launched the largest mobilization of scientific artificial intelligence in its history, and almost no one outside the halls of power is paying attention to what is truly at stake. While public conversation remains fixated on the latest update to a text generator or the stock-market swings of Silicon Valley's biggest tech companies, a quiet but seismic movement has taken shape in Washington offices: the transformation of AI into sovereign infrastructure for deep research. We are not talking about teaching a virtual assistant to draft emails or creating digital images for social media. We are talking about coupling exascale supercomputers with the largest repositories of scientific data on Earth and in outer space to simulate physical reality itself. It is the state's attempt to take control of scientific discovery before the private sector monopolizes knowledge.