CrankGPT by Squeez Labs - hand-cranked edge AI - talk about local AI!!!

<!-- SC_OFF --><div class="md"><p>Just putting together a quick list of the new <strong>open-source physical AI / robotics models</strong> from <strong>NVIDIA GTC

<!-- SC_OFF --><div class="md"><p>Curious what people here actually care about most when mixing local models with cloud models.</p> <p>I keep coming back to the same problem:

<!-- SC_OFF --><div class="md"><p>Even with agent framework DX getting somewhat better - it's still really annoying to build real apps with them. Even a basic in-app agent chatbot

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s3i83m/fully_local_voice_ai_on_iphone/"> <img alt="Fully local voice AI on iPhone"

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t0ea9u/i_built_a_fully_local_meeting_ai_that_runs/"> <img alt="I built a fully local meeting AI that runs

<!-- SC_OFF --><div class="md"><p>Most of my LLM cost was on the wrong tier of work.</p> <p>Classification, extraction, JSON formatting, summarization I'm going to review anyway.

<!-- SC_OFF --><div class="md"><p>After burning way too much money on GPT-4 API calls, I finally went all-in on local models with Ollama. The progress in 2026 is insane

<!-- SC_OFF --><div class="md"><p>One thing we’ve been noticing lately is that a surprisingly large percentage of day-to-day AI workflows no longer seem to require frontier-scale