AI agents
Putting agents to work: evaluation, reliability, tool use and cost. Every brief item about AI agents, newest first, each with its primary source.
Timeline 22 items
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Oct 8 · Thu · 2 items
- Industry blogs.nvidia.com ↗Microsoft makes MXC agent containers generally available on Windows as NVIDIA opens RTX Spark laptop preorders with 1 petaflop of FP4 and up to 128GB of unified memory
Take · This is the same MXC that powers Copilot's local sandboxing above, so the isolation layer for running agents on your own machine now ships with the OS. With 128GB of unified memory holding a 100B-plus model, keeping private data on the device can be validated on a single machine, and products handling private files like my AI Cloud Drive could consider a local-inference edition. Don't rush the hardware purchase, though: first check whether a local model is good enough for your workload.
From the Oct 8 brief · item 05 →
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Oct 5 · Mon · 1 item
- Research huggingface.co ↗Microsoft open-sources ThinkingBox: 507 business workflows, 20 runs each, graded on final database state
Take · Single-attempt pass rates flatter agents. I'm applying the same idea to scoring in my AI Interview product: run the same answer sheet several times and check that what lands in the database agrees, not what the model says. When picking a model, put all-20-pass rate and cost per dependable task in your eval sheet; it tells you more than a leaderboard.
From the Oct 5 brief · item 01 →
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