New LLM Benchmark "CatBench"

<!-- SC_OFF --><div class="md"><p>Not only are the Opus 5.5 Max 3D model and shaders much more accurate than Astra 6 Max, the tail is naturally twitching and if you turn the model

<!-- SC_OFF --><div class="md"><p>Working on evaluating some AI-generated outbound (SDR-style emails along with follow-ups), and I’m running into a weird problem. Everyone talks

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t1ttm6/recent_foss_vs_sota_long_context_benchmark/"> <img alt="Recent FOSS vs SOTA - Long Context

<!-- SC_OFF --><div class="md"><p>We just released ParseBench, a benchmark designed to evaluate how well document parsers and OCR systems actually work when feeding data into AI

<a href="https://news.ycombinator.com/item?id=48755928">Comments</a>

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s1brq3/wmb100k_open_source_benchmark_for_ai_memory/"> <img alt="WMB-100K – open source benchmark for AI

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1wxkppd/llm_benchmark_catbench_updated_with_new_examples/"> <img alt="LLM Benchmark &quot;CatBench&quot;

<!-- SC_OFF --><div class="md"><p>I have been following the akitaonrails coding benchmark which tests against a fixed rails + Rubyllm + docker task rather than vendor-reported