Sonder – self-hosted AI social simulation engine
Narrator mode querying agent internal states is genuinely clever social simulation.
Curated list of 1,100 papers when Papers With Code already exists.
AI engineers, students, researchers
Papers With Code · Awesome Lists · ArXiv Sanity
Narrator mode querying agent internal states is genuinely clever social simulation.
Beautifully designed archive, but currently too sparse to compete with Wikipedia.
It's a no-frills, topic-organized dump of 106 real-world DevOps questions (folders for docker, kubernetes, linux, networking, security) with video explanations — exactly the sort of thing you bookmark the week before interviews. What it lacks is originality: this is an aggregated study bundle, not an interactive trainer or curated rubric, so its value is practical and immediate rather than novel or deeply analytical.
The landing delivers a tight promise — ‘stay ahead of the AI game without the overwhelm’ — and the signup flow looks deliberately low-friction. What’s missing is evidence of unique curation: no sample issue, ranking method, or filter logic is shown, so it reads as a well-designed but typical newsletter unless the author surfaces a distinctive editorial process or dataset.
Bi-temporal validity and time-travel queries beat simple vector stores for agent memory.
Link validation bot for a 517-blog list. Solves a real problem, but the execution is straightforward automation.