We’re now deep into the AI era, where every week brings another feature or task that AI can accomplish. But given how far down the road we already are, it’s all the more essential to zoom out and ask ...

The most dangerous part of AI might not be the fact that it hallucinates—making up its own version of the truth—but that it ceaselessly agrees with users’ version of the truth. This danger is creating ...

Transformer Weekly: Anthropic’s political donations, energy bills policy, and an xAI exodus ...

Almost 2,000 years before ChatGPT was invented, two men had a debate that can teach us a lot about AI’s future. Their names were Eliezer and Yoshua. No, I’m not talking about Eliezer Yudkowsky, who ...

The dominant narrative about AI reliability is simple: models hallucinate. Therefore, for companies to get the most utility ...

According to new research, the next frontier of AI lies not in better analytics or automation, but in the execution of administrative authority itself. The study argues that coordination, compliance, ...

Drift is not a model problem. It is an operating model problem. The failure pattern nobody labels until it becomes expensive The most dangerous enterprise AI failures don’t look like failures. They ...

AI strengthens confidence by improving visibility and foresight. Predictive analytics can surface emerging issues before they become crises. Scenario modeling allows leaders to test strategies against ...

DeepMind's Aletheia is a huge advance in AI-driven mathematical reasoning. It is a research agent built on top of Gemini Deep ...