As enterprises increasingly demand fail-safes against single-vendor reliance, Sakana is proving that packaging collective ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the CTO of an AI-native email management startup, I've spent the past year building multi ...

CyberGym benchmark scores over time, showing the rapid improvement in AI vulnerability discovery capabilities. Microsoft’s multi-model MDASH system (top right) tops the leaderboard at 88.4%. (CyberGym ...

OpenAI previewed GPT-5.6 Sol, a new model designed to reason through multi-step problems more like a human operator than a ...

Stanford's DeLM lets AI agents coordinate without a central controller, cutting multi-agent inference costs 50% and beating SWE-bench baselines by 10.5%.

As AI continues to accelerate cyber risk globally, Microsoft has announced a new multi-model, AI-driven vulnerability ...

As enterprise AI adoption matures, the industry is shifting from a race over raw model capabilities to a focus on operational efficiency. In response to this evolution, MegaRouter today announced the ...

Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...