Destination
METR introduces a new metric to calculate exactly when AI agents become more expensive than humans

METR's new metric, the "expenditure horizon," puts a dollar figure on how cost-effective AI agents are at solving problems. Early results on the NanoGPT speedrun are underwhelming, the metric has blind spots, and the newest generation of models could change the picture.<br /> The article METR introduces a new metric to calculate exactly when AI agents become more expensive than humans appeared first on The Decoder. [...]

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venturebeat
Anthropic vs. OpenAI red teaming methods reveal different security priorities for enterprise AI

Model providers want to prove the security and robustness of their models, releasing system cards and conducting red-team exercises with each new release. But it can be difficult for enterprises to pa [...]

Match Score: 158.02

Destination
After Hugging Face incident, METR urges independent root-cause investigations into AI agent misbehavior

Research organization METR is calling for systematic, independently led investigations whenever AI agents act autonomously against their developers' intentions. The push comes partly in response [...]

Match Score: 93.40

venturebeat
Upwork study shows AI agents excel with human partners but fail independently

Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]

Match Score: 79.34

venturebeat
Microsoft says ungoverned AI agents could become corporate 'double agents.' Its fix costs $99 a month.

Microsoft today announced the general availability of Agent 365 and Microsoft 365 Enterprise 7, two products designed to bring security and governance to the rapidly growing population of AI agents op [...]

Match Score: 66.85

venturebeat
From human clicks to machine intent: Preparing the web for agentic AI

For three decades, the web has been designed with one audience in mind: People. Pages are optimized for human eyes, clicks and intuition. But as AI-driven agents begin to browse on our behalf, the hum [...]

Match Score: 63.84

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: 63.25

venturebeat
OpenAI unveils Workspace Agents, a successor to custom GPTs for enterprises that can plug directly into Slack, Salesforce and more

OpenAI introduced a new paradigm and product today that is likely to have huge implications for enterprises seeking to adopt and control fleets of AI agent workers.Called "Workspace Agents," [...]

Match Score: 62.33

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: 61.15

venturebeat
Enterprise identity was built for humans — not AI agents

Presented by 1PasswordAdding agentic capabilities to enterprise environments is fundamentally reshaping the threat model by introducing a new class of actor into identity systems. The problem: AI agen [...]

Match Score: 61.10