Elon Musk is cooking up a sinister plan to expand his power in the federal government.

Grok seems to have been programmed to defend claims of white genocide in South Africa. Now it’s all it can talk about.

OpenAI CEO Sam Altman and other artificial-intelligence executives are vague about what AI can do for the government. They’re very specific about what the government can do for them.

A judge reprimanded Mike Lindell and his lawyers for the mistake-riddled document.

Just say “China,” and everyone except AOC suddenly supports massive data center build-outs that will torch the planet.

Be careful what you say if you’re a federal employee.

DOGE is preparing to automate its mass firings of federal workers.

The big bet on artificial intelligence has turned tech billionaires from vocal climate advocates into Trump toadies.

Less than a week into Trump’s term, Musk is already causing headaches for the administration.

Donald Trump was talking about his AI initiatives.

Donald Trump announced a massive new AI initiative.

Tesla could launch the robotaxis by year’s end, and Wall Street is banking on the incoming president to clear any regulations that stand in the way.

Artificial intelligence is coming to warfare. Can it learn ethics?

The two major techbro obsessions—crypto and AI—have delivered mostly scams and hype. But this year, they managed to buy themselves a federal government.

The rush to build new computing and energy infrastructure for artificial intelligence comes with a lot of unintended consequences—especially if this new infrastructure isn’t actually needed.

Sam Altman and Musk are currently engaged in a bitter, protracted feud over OpenAI, the artificial intelligence company they co-founded in 2015. But they both are bankrolling Donald Trump.

A fight over a data center in Fayetteville, Georgia, follows patterns previously seen in fights over pipelines or fracking.

Donald Trump just tapped David Sacks for a White House job.

Propaganda and deceit are a feature of AI, not its downfall.

Nobel Prize winner Geoffrey Hinton said that machine learning would outperform radiologists within five years. That was eight years ago. Now, thanks in part to doomers, we’re facing a historic labor shortage.