A comprehensive, filterable list of AI agent jails
I built this from another Show HN thread where people were mentioning alternative AI agent sandboxes and jails
AI Analysis
Analysis coming soon.
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Cnbc
https://thenewstack.io/openai-gpt6-astra-benchmarks/, image: https://cdn.thenewstack.io/media/2026/09/358eb84a-screenshot... https://venturebeat.com/technology/welcome-to-the-agi-era-op... https://www.theverge.com/ai-artificial-intelligence/988334/o... https://twitter.com/OpenAI/status/2095595741528125780
A searchable, timestamped index of 1,124 AI Engineer talks
I love the videos and talks that appear on my feed ever day from the AI Engineer conferences. Unfortunately, there are so many of them it's often hard to find the time to keep up, or to watch what I'd like. So I built aietalks.com, a searchable written index and archive of all the talks on the AI Engineer Youtube channel. We currently cover 1,124 talks. The individual talk pages offer tl;dr summaries, key quotes and other summarised information from the videos. Search and packs allow you to find the talks that matter for your particular interest or use case. All the pages are accessible for agents etc though .md files (just add it to the URL) or via an auth-free MCP server which we offer. The site updates each day as new talks come in, with a little bit of a delay for me to handle deduplication or transcription errors of names and so on. Hope you enjoy this and find it useful!
Every AI agrees with you. This writes your startup's obituary instead
Show HN: Every AI agrees with you. This writes your startup's obituary instead
The Daily Set
We used to play at setgame.com daily as a team, but their SSL certificate expired. So we rebuilt it, but with more features: daily leaderboards, achievements system, worldwide ELO rankings, progress tracking, different modes (Diablo, Training), and an iOS app!
HN Match Maker
Hi! Every month the "Who Wants to Be Hired?" and "Who's Hiring?" Threads come through I would think to myself, "there should be a match maker for these two threads". So I had abacus.ai whip one up. The methodology is pretty simple, data is extracted from posts using an LLM, score matches based on salary, domain experience, remote/onsite, etc., and then eliminate incompatible postings, like 'looking for remote work' and 'onsite only'. The result is two views: jobs-by-user and user-by-jobs. If you've submitted a post to this month's 'Who Wants to Be Hired?", you can find your matching job listings at https://hnmatchmaker.com/user/:user_name, for example https://hnmatchmaker.com/user/G4Vi --- Some observations when looking at the matches pair up right now: Poke around, let me know what you think! Ultimately, I hope this is actually helpful to some folks.