Destination
A new information-theory framework reveals when multi-agent AI systems truly work as a team

Multi-agent AI systems can outperform solo agents, but it's often unclear whether they're truly working together or just running side by side. A new framework from Northeastern University sets out to measure real teamwork in agentic AI systems.<br /> The article A new information-theory framework reveals when multi-agent AI systems truly work as a team appeared first on THE DECODER. [...]

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venturebeat
As enterprises confront AI agent sprawl, xpander wants them to own their own control and context layer

Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]

Match Score: 153.33

venturebeat
Most enterprises can't stop stage-three AI agent threats, VentureBeat survey finds

A rogue AI agent at Meta passed every identity check and still exposed sensitive data to unauthorized employees in March. Two weeks later, Mercor, a $10 billion AI startup, confirmed a supply-chain br [...]

Match Score: 139.71

venturebeat
Are you paying an AI ‘swarm tax’? Why single agents often beat complex systems

Enterprise teams building multi-agent AI systems may be paying a compute premium for gains that don't hold up under equal-budget conditions. New Stanford University research finds that single-age [...]

Match Score: 138.62

venturebeat
Four AI agents coordinating in real time outperformed Claude Opus 4.8 on enterprise coding tasks

As enterprise codebases grow, AI agents tasked with analyzing them are buckling under the weight of long-horizon tasks that require multiple interactions and tool calls. Dividing the work among a team [...]

Match Score: 120.86

venturebeat
Research shows ‘more agents’ isn’t a reliable path to better enterprise AI systems

Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties. W [...]

Match Score: 114.03

venturebeat
We keep talking about AI agents, but do we ever know what they are?

Imagine you do two things on a Monday morning.First, you ask a chatbot to summarize your new emails. Next, you ask an AI tool to figure out why your top competitor grew so fast last quarter. The AI si [...]

Match Score: 105.01

venturebeat
Microsoft launches MXC, an OS-level sandbox for AI agents, with OpenAI and Nvidia already on board

For the past two years, the technology industry has raced to make AI agents more capable — teaching them to write code, navigate software interfaces, manage files, and orchestrate multi-step workflo [...]

Match Score: 103.47

venturebeat
NanoClaw comes to Slack, letting you create persistent AI agent teams and colleagues from a single message

Adding an AI agent to Slack sounds appealing to many enterprises — but, as VentureBeat has experienced ourselves first hand — the reality is often far more complex and clunkier than it first seems [...]

Match Score: 102.39

venturebeat
Claude’s next enterprise battle is not models: it’s the agent control plane

New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI [...]

Match Score: 100.61