AI & Robotics

Sometimes, things are not just one thing – they’re also another thing. This sentence construction (“It’s not just this – it’s that”) has become so common in AI-generated writing that now, it’s no longer just a clue that a piece of writing may be synthetic – it’s almost a guarantee. That’s why I was not just intrigued when I saw a…

There’s an old saw in management: What you measure matters. And, typically, you get more of whatever you’re measuring. Software engineers have debated productivity metrics for decades, starting with lines of code. But as the new generation of AI coding agents delivers more code than ever, what their managers ought to be measuring is less clear. Enormous token budgets &#8211…

The promise of physical AI is that engineers will be able to program physical agents the same way they do digital ones. We’re not there yet. Robotics is still held back by a paucity of data from physical spaces. To train their machines, companies need to build mock-up warehouses to test their machines, while an entire industry is springing up around surveilling factory lines and gig workers…

“Give me tokens. Just give me tokens. I want them fast. I want them cheap. I want them now.” That’s the mantra for developers building software on generative AI models, or at least what Parasail CEO Mike Henry hears. Parasail provides a cloud computing service to companies running AI models for inference, and Henry told TechCrunch it generates 500 billion tokens a day.