Did FP8 make the model dumber? A per-prompt regression check for quantized servi

<p>At the International AI Summit in Dublin, OpenAI Chief Financial Officer Sarah Friar took the stage to announce that the lab is holding back a breakthrough model. According to

<!-- SC_OFF --><div class="md"><p>Projects are <a href="https://github.com/snap-research/locomo/issues/31">still submitting new scores on LoCoMo as of March 2026.</a> but the

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1s7rcwr/qwen35_omni_qwens_latest_generation_of_fully/"> <img alt="Qwen3.5 Omni - Qwen’s latest generation

<p>Ask how much memory it takes to fine-tune a 7B model and the instinct is "the model's 14 GB in fp16, so a bit more than that". The real figure is about 112 GB, before you've

<p><a class="article-body-image-wrapper"

<!-- SC_OFF --><div class="md"><p>Every output token the model generates requires reading the entire KV cache from High Bandwidth Memory.</p> <p>Here's what that actually looks

<!-- SC_OFF --><div class="md"><p><strong>Submitted by:</strong> Adam Kruger <strong>Date:</strong> March 23, 2026 <strong>Models Solved:</strong> 3/3 (M1, M2, M3) + Warmup</p>

<h1> BiRefNet vs rembg vs U2Net: Which Background Removal Model Actually Works in Production? </h1> <p>I've spent the last few months running background removal at scale — tens of