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#Deployment

0 today

Sep 29

Tuesday

  1. Making AI an asset, not an expense

    HPE argues that businesses should reassess consumption-based AI pricing. When agent workflows in customer service, IT and research create sustained, predictable demand, buying AI per request may not be cheaper than building owned capacity. Deloitte’s 2026 enterprise AI report says employee AI usage rose 5% in 2025, and the share of companies with at least 40% of AI projects in production is expected to double within six months. Businesses need to calculate utilisation crossover points from actual workloads and keep owned capacity productive through adoption, governance and expanding use cases.

Sep 25

Friday

  1. When chat is the wrong UI

    The GitHub Copilot app introduced canvas, full-stack mini-apps running inside the app without browser chrome. They communicate bidirectionally with Copilot agents and can call third-party APIs or execute code locally.

Sep 22

Tuesday

Sep 21

Monday

  1. AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack

    NVIDIA argues AI security should be treated as an engineering problem, with explicit requirements, executable controls, named owners and evidence of effective protection. Its open-source NVIDIA OpenShell enforces policies outside agent reasoning and provides sandboxed execution. Cisco DefenseClaw adds governance, while JFrog integrates OpenShell to scan and validate agent skills.

Jul 30

Thursday

Jul 7

Tuesday

May 8

Friday

  1. Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling

    Berkeley AI Research reviews parallel reasoning, focusing on models deciding when to decompose and parallelise independent subtasks, how many threads to generate and how to coordinate. Existing approaches including Self-consistency, Best-of-N, Tree of Thoughts, MCTS, ParaThinker, GroupThink and Hogwild! Inference mostly impose parallel structures externally rather than teaching adaptive behaviour.