The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

Recessions are not predictable with precision. But they are priceable, and at 40% to 50% probability, the risk deserves ...

AI-driven attacks optimize mediocrity in standardized environments, lowering costs to $5 per attack and raising SMB ...

A week ago, I wrote about entering an NCAA tournament pool with a more disciplined process than I usually use. Instead of […] ...

Anthropic's latest Claude model assigned itself a 15% – 20% probability of being conscious during internal testing. Claude is the company's large language model that generates text in response to ...

Why is Christian Science in our name? Our name is about honesty. The Monitor is owned by The First Church of Christ, Scientist, and we’ve always been transparent about that. The church publishes the ...

Researchers at Stanford and Caltech have found some critical reasoning failures in advanced AI models. LLMs are great at recognizing patterns, but they have trouble with basic logic, social reasoning, ...

Here’s what you’ll learn when you read this story: Large language models (LLMs) like ChatGPT show reasoning errors across many domains. Identifying vulnerabilities is good for public safety, industry, ...

In a new paper that’s making waves, scientists from Stanford, Cal Tech, and Carleton College have combined existing research with new ideas to look at the reasoning failures of large language models ...

Add Futurism (opens in a new tab) Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Anthropic CEO Dario ...