What's breaking now, across thousands of outlets.
Sam Palmisano says the AI boom is built on long-cycle bets in data centers, chips and energy, even as AI software changes at breakneck speed. If adoption slows or cheaper Chinese open-source models gain traction, Big Tech may have to rethink the spending plans behind today’s AI race. (Source: Bloomberg)
We haven't written up this one. Bloomberg has the full story — the link below goes straight to it.
In an age of AI, getting good grades is a mirage. The post The Results of Middle and High School Students Using AI Are Extremely Ominous appeared first on Futurism .
Every VAPT report ends the same way: a handful of numbers. A CVSS score. A severity label. A priority rank. Sometimes an aggregate risk score.
You build an AI chat application. A user sends: "Explain how distributed systems work." Your server calls an LLM API and starts streaming the answer: LLM │ ├── "Distributed" ├── "systems" ├── "are"…
Anyone who has run a coding agent on a real task — not a demo, a multi-hour grind through a milestone — has watched the same decay curve. The first hour is sharp.
Chinese AI models are rapidly narrowing the performance gap with US rivals while gaining users with lower prices and open-weight technology that lets companies deploy them locally.
