[D] Cloud vendors define "real-time" as under a second. Control systems need und

<!-- SC_OFF --><div class="md"><p>doing infrastructure evaluation for inference workloads and running into the same problem everywhere: every platform publishes p50 cold start

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1sufmrp/the_eu_and_the_white_house_published_documents/"> <img alt="The EU and the White House

<!-- SC_OFF --><div class="md"><p>Just went through a Stanford paper that tracked 51 actual AI deployments - not surveys or sentiment polls, real production systems across 41

<!-- SC_OFF --><div class="md"><p>I used to be all-in on cloud APIs. For any side project, I’d just grab an OpenAI or Anthropic key and not think twice. It was convenient. No

<!-- SC_OFF --><div class="md"><p>Spent my Sunday running Moss's benchmarks on my M4 Air instead of touching grass. Single-digit P99.</p> <p>It runs in-process. No network hop.

<!-- SC_OFF --><div class="md"><p>I'm trying to understand where people doing sensor based ML on microcontrollers (IMU, accelerometer, vibration ,that kind of time-series data)

<!-- SC_OFF --><div class="md"><p>been overseeing our AI agent deployment and the numbers are alarming. we have ~400 developers using AI coding agents (mixture of copilot and

<!-- SC_OFF --><div class="md"><p>Rolled out mcp tool access for our ai assistants about 6 weeks ago so chatgpt and claude could hit our crm, project management tool, and a few