Distils of opus 4.6: real improvements or hype?

<!-- SC_OFF --><div class="md"><p>No offense to the fine-tune model providers, just curious. IMO the original models were already trained on massive amount of high quality data,

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1tdft9u/poetiq_recursive_selfimprovement_delivers_new/"> <img alt="Poetiq: Recursive Self-Improvement

<!-- SC_OFF --><div class="md"><p>I read this sub every day and I keep seeing benchmarks and discussions focused almost entirely on tokens/s generation speed. Prompt processing

<!-- SC_OFF --><div class="md"><p>no posts on this yet? <a href="https://huggingface.co/squ11z1/Mythos-nano">https://huggingface.co/squ11z1/Mythos-nano</a></p> <p>No paper, no

<!-- SC_OFF --><div class="md"><p>Benchmark: 58.4 vs 56.7 (beats GPT-5.4)</p> <p>License: Fully open (Apache 2.0) </p> <p>What it actually does: Runs 8-hour fully autonomous agent

<!-- SC_OFF --><div class="md"><ul> <li>IBM's <a href="https://huggingface.co/ibm-granite/granite-docling-258M">granite-docling-2stage-258m</a></li> <li><a

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sn3izh/qwen3635ba3b_released/"> <img alt="Qwen3.6-35B-A3B released!"