What does the self-hosted ML community use day to day?

<!-- 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>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>Hi everyone,</p> <p>I recently started working in controlling and I’m currently going through the typical learning curve: understanding complex

<!-- SC_OFF --><div class="md"><p>I've been working on MDA (Modular Dynamic Architecture), an online associative memory system for LLMs. Here's what I learned building it.</p>

<!-- SC_OFF --><div class="md"><p><a href="https://github.com/SomeoneAlt-86/open-mythos">https://github.com/SomeoneAlt-86/open-mythos</a><br /> Claude just previewed their Mythos

<!-- 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

<!-- SC_OFF --><div class="md"><p>Link to the paper:</p> <p><a

<!-- SC_OFF --><div class="md"><p>we've been building an open source red teaming tool for AI agents. wanted to share what we keep finding because i don't think enough people are