Rather than focusing on scale and how much an agent can retain, ask how the agent knows when it has learned something ...

AI agents aren't limited by reasoning power in 2026, they're limited by context quality. Here's why more data can hurt and ...

Agentic systems introduce additional complexity because they often involve long-running, multi-step processes spanning multiple services, models, APIs, and tools.

VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most teams are patching with retries instead of fixing.

The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...

If agentic commerce is going to work at scale, the market has to solve more than authentication, aka the “identity problem,” as we posited in part two of this series exploring the six fault lines of ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. David Kindness is a Certified Public ...

Add Futurism (opens in a new tab) More information 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. Behold ...

There's a joke buried somewhere in the fact that Summer Yue, a safety and alignment director at Meta Superintelligence, someone whose literal job is to make AI behave, watched an AI agent delete her ...

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

But when an agent is forced to navigate multiple open tabs just to answer a single customer query, we aren't witnessing productivity. We are witnessing the "Swivel Chair" problem in action. They have ...