A piece I wrote in December about alignment, shared in light of the Mythos model

&#32; submitted by &#32; <a href="https://www.reddit.com/user/141_1337"> /u/141_1337 </a> <br /> <span><a href="https://zenodo.org/records/19490948">[link]</a></span> &#32;

<!-- 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>Most coverage of the Mythos system card focuses on the benchmarks and the cybersecurity findings. This essay looks at what's in section 5 - the

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1ss6eh3/anthropic_built_a_model_too_dangerous_to_release/"> <img alt="Anthropic built a model too dangerous

<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

<!-- SC_OFF --><div class="md"><p>I just published an essay called &quot;The Super-Intelligent Octopus Problem&quot; that makes a case I haven't seen articulated elsewhere: the

<!-- SC_OFF --><div class="md"><p>The AI industry is rapidly moving from single-model usage to multi-model infrastructure. Modern AI products no longer rely on one provider alone.

<!-- 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