SycoFact 4B - Open model for detecting sycophancy & confirmation of delusions, 1

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1sw0vcf/stanford_researchers_fed_a_language_model_a_dna/"> <img alt="Stanford researchers fed a language model a

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1srx4i1/new_llm_position_bias_benchmark_does_an_llm_keep/"> <img alt="New LLM Position Bias Benchmark: does

<!-- SC_OFF --><div class="md"><p>Link to the paper:</p> <p><a

<!-- SC_OFF --><div class="md"><p>everyone's focused on the benchmarks (14 state of the art evals, beats mythos on terminal-bench, etc) but i think the actual story of 5.5 is what

<!-- 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>Been heads down building graphify since April 5th. The idea: instead of stuffing your entire codebase into context every session, build a

<!-- SC_OFF --><div class="md"><p>AI skills and agents feel like the units you can build real things with. Skills are portable, composable, they travel with the model. One skill

<!-- SC_OFF --><div class="md"><p>Just putting together a quick list of the new <strong>open-source physical AI / robotics models</strong> from <strong>NVIDIA GTC