DeepSWE finally a proper coding benchmark

<!-- SC_OFF --><div class="md"><p>Source: <a

&#32; submitted by &#32; <a href="https://www.reddit.com/user/ranandtoldthat"> /u/ranandtoldthat </a> <br /> <span><a

<!-- 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/1tq7b75/i_ran_some_benchmarks_using_omlx_tool_i_know_not/"> <img alt="I ran some benchmarks using oMLX tool

&#32; submitted by &#32; <a href="https://www.reddit.com/user/pmz"> /u/pmz </a> <br /> <span><a

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1s3pbl6/human_vs_ai_performance_on_arcagi_3_as_a_function/"> <img alt="Human vs. AI performance on ARC-AGI

<!-- 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"><p>Figured this out by running 4 models: Claude Opus 4.6, GPT-5.4, Gemini 3.1 Pro, and Grok 4.20, on a benchmark of 1,417 binary forecasting