Infinidev: Coding CLI for small local llms

<!-- 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:

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t5p2yv/the_gb10_solution_atlas_is_now_open_source_the/"> <img alt="The GB10 Solution Atlas is now open

<!-- 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>Anthropic just pushed out <strong>Claude Opus 4.7</strong> and it’s live right now on <a href="http://claude.ai">claude.ai</a>, the Platform, and

<!-- 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>Link to the paper:</p> <p><a

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