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A transparent look at the 522-commit C++ AI runtime Project Overview Directory Layout (What goes where) kernel/: Core tensor operations, automatic differentiation, and memory allocators. algorithms/:

The terminal is quietly becoming the default home for AI coding agents. OpenCode, built by the SST team, is one of the more polished entries in that category. Unlike Cursor or Windsurf, it does not as

Three different things get called “the EEOC’s AI guidance”: a statute from 1964 as amended in 1991, a set of selection-procedure regulations from 1978, and a technical assistance document from May 202

The build fails with a module it cannot resolve, or the dev server prints that a Node.js API is not supported in the Edge Runtime, and the natural conclusion is that the provider’s SDK does not work o

A wrist device produces a continuous multi-axis signal at tens or hundreds of hertz. Nothing about that stream resembles the single-image, single-inference shape that most on-device machine learning m

Every stage of a sensor pipeline reduces data and discards something. The split between device and cloud is best chosen by looking at those two properties per stage, rather than by deciding in advance

Your edge-case suite is not a description of the task. It is a record of the ways one particular model surprised you. Point it at a different model and it will pass, and the passing will mean much les

Cloud inference is a variable cost that scales with volume. Edge inference is a fixed cost that scales with fleet size. The choice is therefore not about which is cheaper but about where the two lines

A worker that spends 90% of each job waiting on a model API will sit at 5% CPU with a queue ten thousand messages deep. Target tracking on CPU utilisation will look at that and scale in. Target tracki

Reserving a GPU in an ECS task definition is four lines of JSON. Nearly every failure happens outside those four lines — in the AMI the container instance booted from, in one agent configuration varia