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Applied AI·August 2, 2026·1 min read

The Greenhouse and the Lens: Two Modes of Agentic AI Work

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Framing agentic AI as "greenhouse" (exploration) versus "lens" (focused execution) is a useful design constraint for workflows. When you scope pilots, decide explicitly which mode you're in—then tune prompts, guardrails, and metrics around either breadth of options or depth of follow-through, not both at once.

Applied AI

Startup swaps costly AI GPUs for Arm cores and up to 128TB of 'cheap' LPDDR6 RAM instead of expensive HBM to smash through the memory wall

If Majestic Labs can make Arm + 128TB LPDDR6 viable for inference, the constraint shifts from flops to memory bandwidth and data locality—good enough compute with huge cheap memory is a different design space than GPU + HBM. For operators, this is an early signal to segment workloads by memory footprint and tolerance for latency rather than defaulting everything to GPU clusters.