Companies are confronting a delicate balancing act as they try to scale AI without making costly mistakes.

DeepMind’s AlphaProof system solved four out of six problems at the 2024 International Mathematical Olympiad, generating ...

The technology works. The problem is everything around it.

Few companies have been able to fundamentally change their operating and business models around AI. The primary obstacle to ...

Closing the agentic gap requires the courage to leave the legacy warehouse behind and build the infrastructure that ambition demands.

The same AI that aced the genius test can't count how many times the letter "R" appears in "strawberry." OpenAI's o3 just cleared artificial general intelligence (AGI) benchmarks. Eighty-seven percent ...

AI isn’t stumbling because of bad algorithms. It’s stumbling because people don’t trust it. At the very moment businesses are betting big on AI to drive growth, confidence in the technology is eroding ...

When AI is optimized for making users comfortable rather than accurate, it creates a gap between confidence and competence.

People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.

The most dangerous part of AI might not be the fact that it hallucinates—making up its own version of the truth—but that it ceaselessly agrees with users’ version of the truth. This danger is creating ...

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