Destination
Multi-agent training aims to improve coordination on complex tasks

Researchers have introduced a new framework that trains multiple AI agents at the same time, with each agent taking on a specialized role. The goal is to handle complex, multi-step tasks more reliably through clearer division of labor and tighter coordination.<br /> The article Multi-agent training aims to improve coordination on complex tasks appeared first on THE DECODER. [...]

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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: 165.94

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: 137.79

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: 134.56

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: 131.14

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: 102.95

venturebeat
Baseten takes on hyperscalers with new AI training platform that lets you own your model weights

Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean [...]

Match Score: 96.37

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: 93.67

venturebeat
Anthropic introduces "dreaming," a system that lets AI agents learn from their own mistakes

Anthropic on Tuesday unveiled a suite of updates to its Claude Managed Agents platform at its second annual Code with Claude developer conference in San Francisco, introducing a new capability called [...]

Match Score: 92.45

venturebeat
How RecursiveMAS speeds up multi-agent inference by 2.4x and reduces token usage by 75%

One of the key challenges of current multi-agent AI systems is that they communicate by generating and sharing text sequences, which introduces latency, drives up token costs, and makes it difficult t [...]

Match Score: 92.10