The latest example of trouble resulting from this definitional confusion comes from the deteriorating relationship between Microsoft and OpenAI. According to The Wall Street Journal, the two companies are now locked in acrimonious negotiations partly because they can't agree on what AGI even means—despite having baked the term into a contract worth over $13 billion.

An MIT student feared that an AGI would imminently wipe us out — but experts don't think we're anywhere close to building such a model.

Some tech workers preparing for an AI apocalypse — or utopia — by leaning into working out, building bunkers, or burning their retirement savings.

Startup Character.AI once promised superintelligence. Its new CEO says it's now an entertainment company with 20 million users.

The technical challenges are substantial but more tractable than general-purpose AGI. EGI requires shifting from static prompts to real-time system integration, from text generation to multi-system orchestration and from human validation to autonomous error correction based on predefined, human-generated rules and guardrails.

To Dr. Fei-Fei Li, AI isn’t a race or a looming contest of strength. It’s another step in building systems that work alongside people and protect the things we value.

OpenAI’s contract clause could cut off Microsoft’s access to new AI models if AGI is declared, forcing high-stakes renegotiation of their partnership.

In a new post, Meta CEO Mark Zuckerberg said that the company’s AI is on the slow road to superintelligence, a technological threshold beyond artificial general intelligence (AGI) when AI can begin improving itself.

AI skeptic François Chollet halves his AGI forecast to five years and reveals a new reasoning benchmark — and it’s not about scaling bigger models.