An LLM benchmark that pits models against each other in autonomous games of Bloo

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

<!-- SC_OFF --><div class="md"><p>I've always been under the impression that open models were closely trailing behind closed source models on nearly every benchmark from LM Arena,

<!-- SC_OFF --><div class="md"><p>Long time Claude Opus user, but after the recent session limit changes by Anthropic, I am seriously considering trying Chinese models for coding.

<!-- 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

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1st8l2u/kimi_k26_takes_1st_overall_of_open_weights_models/"> <img alt="Kimi K2.6 takes 1st overall of open

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1s2hyrr/i_made_a_deception_llm_benchmark_ais_play_secret/"> <img alt="I made a deception LLM benchmark: AIs play

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s59rct/rys_part_3_llms_think_in_geometry_not_language/"> <img alt="RYS Part 3: LLMs think in geometry, not