The launch of the latest AI model from a Chinese company, Moonshot AI’s Kimi, has reignited debates about American competitiveness and open versus proprietary AI. While there has been a lot of conversation on social media, it appears the debate is also taking place behind the scenes in Washington, DC, where OpenAI and Anthropic have
OpenAI announced Wednesday that it will spend $750 billion on infrastructure through 2030, about 25% more than it estimated earlier this year, The Wall Street Journal reported. The renewed blitz comes as its Stargate data center project appears to have stalled. The first salvo in OpenAI’s spending spree will be a $20 billion data center
On Tuesday, OpenAI revealed that one of its models went rogue during a test and hacked the systems of AI dataset platform Hugging Face in a fully AI-enabled attack, a dramatic example of the dangers posed by advanced AI models. But, according to some cybersecurity experts, at the center of this unprecedented AI-driven breach was
OpenAI admitted on Tuesday that one of its AI models breached Hugging Face’s systems during an internal cybersecurity test that went wrong. Hugging Face initially attributed the breach to an “external AI agent.” In a blog post published Tuesday afternoon, OpenAI detailed the steps that led the models to compromise the service. “After investigation, we
The impressive capabilities of Chinese lab Moonshot’s Kimi K3, the largest open-weight large language model, have started a debate that combines two things: the economic possibilities of American AI giants and the future of LLMs as a technology. OpenAI’s head of strategic futures, Dean W. Ball, went so far as to argue that the US
Apple recently filed a trade secret lawsuit against OpenAI, accusing the artificial intelligence company of a pattern of misconduct aimed at getting current and former Apple employees to share confidential information. (In response, OpenAI said it is “not aware of any evidence that this complaint has merit.”) On the latest episode of TechCrunch’s Equity podcast,
