Researcher and Google CTO Blaise Agüera y Arcas joins us to discuss his new book, "What Is Intelligence?"

As generative AI sparks diverse opinions on its implications for humanity, Ethan Mollick suggests we shift our focus to understanding AI's capabilities and potential applications, emphasizing experimentation to enhance our skills and foster a responsible partnership with technology.

The conversation you're having with an LLM about groundbreaking new ideas in theoretical physics is completely meritless. Here's why.

OpenAI has become a household name in artificial intelligence — but back in 2018 things looked very rocky. Here’s what happened.

The cognitive scientist argues the current AI environment is failing us as consumers and a society. But it’s not too late to change course.

A simple plate of vegetables has found the gaping blindspots in generative AI, and points the way to fixing them.

His $1 million ARC Prize competition is designed to put us on the right path.

Can AI-powered “answer engines” replace the 10 blue links model?

Wharton professor Ethan Mollick explains why “co-intelligence may be the future of AI.

We will believe in AGI when it calls on Facetime.

To hallucinate means you must first perceive.

AI programs like ChatGPT can create "thanabots" based on deceased loved ones' digital communications, allowing us to talk with the departed.

From gene expression to protein design, large language models are creating a suite of powerful genomic tools.

A new AI lie detector can dive into their hidden thoughts and reveal “what language models truly believe about the world.”

It’s far less likely to wander into bizarre lies, emotional rants, and manipulative tangents.

Even lifelong technologists and AI researchers like myself were genuinely surprised by the speed and impact of generative AI.

AI systems can carry on convincing conversations, but they have no understanding of what they're saying. Humans are easily fooled.