OpenAI’s Sam Altman has recently reacted with irritation and defensiveness when confronted in podcast and interview settings about the massive contrast between OpenAI’s annual revenue, reportedly between $13–$20 billion, and its commitment to spend over $1.4 trillion on compute and data center contracts over the next several years.

In a recent interview, Altman dismissed

AI founders seem to have a never-ending list of reasons — and hyperventilated pitch decks — explaining why their financial losses don’t matter. Some are hopeful, some are delusional, and some are just echoes of arguments that would-be billionaires floated in the dot-com era—updated with better graphic design.

A new article at LLRX.com, entitled The

The headlines are alarming. Reports detail patients being harmed, misled, or outright failed by popular AI apps. Stories like these are emotionally charged, and my preliminary assessment of the seven high-profile cases recently documented by Information Age is that at least some may have genuine merit.

It’s easy to read about a chatbot giving harmful

The relentless, frenetic excitement surrounding Artificial Intelligence feels familiar. For anyone who remembers the turn of the millennium, it’s a clear echo of the dot-com bubble, a time of speculation about a new technology completely detached from business fundamentals.

Back then, optimism for an internet-driven economy sent stock prices for companies like AOL to astronomical

Hyping the Risk of Out-of-Control AI

Many purveyors of AI snake oil delight in forecasting that Skynet is right around the corner. They suggest that Generative AI is so close to AGI (artificial general intelligence, meaning AI apps that can perform most or all tasks as effectively as any human being). They claim that we