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We Act architecture solves agents’ catastrophic forgetting by dynamically switching model weights M. Jay M. Jay
Intelligence

We Act architecture solves agents’ catastrophic forgetting by dynamically switching model weights

Listen to this article Read by Anchor Intelligent agent systems with long-running tasks face a recurring technical dilemma when trained on multiple skills, as updating shared parameters to learn new capabilities causes previously acquired skills to degrade gradually through catastrophic forgetting. Although executing complex tasks requires varying capabilities at
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3 min read
Fid AI platform and unified portal: UAE sets standards for infrastructure and self-assessment of AI agents M. Jay M. Jay
Intelligence

Fid AI platform and unified portal: UAE sets standards for infrastructure and self-assessment of AI agents

Listen to this article Read by Anchor The United Arab Emirates places software infrastructure and data at the forefront of its plan to convert half of the governmental sectors, operations, and services into AI-agent-supported models within two years, unveiling a federal technology architecture that goes beyond isolated conversational
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3 min read
Agent system creates a geographically distributed consensus protocol that reduces response time and uncovers historic vulnerabilities M. Jay M. Jay
Intelligence

Agent system creates a geographically distributed consensus protocol that reduces response time and uncovers historic vulnerabilities

Listen to this article Read by Anchor Consensus and agreement in distributed computing have long been a thorny problem that has exhausted researchers for decades, because it constantly requires deep knowledge of protocols, mathematical proof of safety, and error-free software implementation. However, a scientific study published on the arXiv
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Interactive tools and cumulative memory enable the OpenVLHarness framework to break visual reasoning limits at lower cost M. Jay M. Jay
Intelligence

Interactive tools and cumulative memory enable the OpenVLHarness framework to break visual reasoning limits at lower cost

Listen to this article Read by Anchor Repeated benchmark experiments reveal that increasing the internal reasoning budget of vision-language models alone is insufficient to resolve fine-grained visual tasks in complex operating environments. A controlled study covering 22 evaluation benchmarks showed that adding more internal reasoning effort to the
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Nvidia launches OpenShell: a runtime environment that isolates swarms of intelligent agents through the kernel M. Jay M. Jay
Intelligence

Nvidia launches OpenShell: a runtime environment that isolates swarms of intelligent agents through the kernel

Listen to this article Read by Anchor Software developers face an explicit security dilemma whenever they grant intelligent agents the freedom to read files, execute commands, and invoke APIs. A software agent naturally requires real execution privileges to be useful, yet handing it sensitive credentials and open network access opens
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Minerava enters AI factories, operational intelligence shields the productivity of hundreds of thousands of processors from silent slowdown M. Jay M. Jay
Intelligence

Minerava enters AI factories, operational intelligence shields the productivity of hundreds of thousands of processors from silent slowdown

Listen to this article Read by Anchor Nvidia launched a platform specialized for operational intelligence called Minerava, designed to help technical teams detect operational issues early and ensure the continued productivity of what has become known as AI factories. The platform aggregates remote telemetry data from the infrastructure and workloads,
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Hybrid architecture ends the trade-off between command-line and model-context protocol in production environments M. Jay M. Jay
Intelligence

Hybrid architecture ends the trade-off between command-line and model-context protocol in production environments

Listen to this article Read by Anchor When a software agent moves from conversation mode to the actual execution environment, developers face a structural question that determines system stability: how does this agent connect to files, databases, cloud services, and application interfaces? The architectural landscape splits into two approaches: one
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2 min read
Expanding training tasks weakens intelligent agents; adaptive race architecture breaks the paradox and cuts verification cost M. Jay M. Jay
Intelligence

Expanding training tasks weakens intelligent agents; adaptive race architecture breaks the paradox and cuts verification cost

Listen to this article Read by Anchor A unexpected geometric contradiction confronts the development of intelligent agents in autonomous work systems: increasing training and experimentation tasks does not necessarily lead to better performance. A new research paper published by scholars on arXiv, the preprint repository, revealed a structural flaw affecting
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