@_m3rl1n · X

Got 2 of em for ya. And a fun little side project literally built by the prompt the above generated:

@iamsausii · X

@mokka_abhi · X

Building the safety evidence layer for physical AI so robots, cars, and drones can actually ship.

u/inc_23 · Reddit

Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon

@ItsAndyInSF · X

u/No-Preference-846 · Reddit

I built an AI-augmented system design practice tool that triggers a live production incident when you submit your design - not just a critique Every system design prep resource I used was static — read a diagram, read the tradeoffs, move to the next one. Nothing ever pushed back on what I actually built. So I built ChaosBench . You design a system on a canvas — drag components, wire them up — and when you submit it, an LLM (Gemini) finds the actual weak point in your specific design and

u/ApprehensiveCall406 · Reddit

Project helping new graduates prepare for AI Assisted Interviews A lot of big tech companies have started adopting an interview style where students debug code and are allowed to use AI to help with this process. This interview is to figure out how the applicant uses AI within their coding process. There isn’t much to prepare for this format of interview so I created a platform to this. Any feedback is appreciated! https://aicodingprep.com/ submitted by /u/ApprehensiveCall406

@AtelioWeb · X

@lijiaoshou12 · X

来了来了， @axisrobotics 与币安钱包上线了，动为期约 30 天，奖池是 150 万 Axis Points，跟平时主站的积分是分开算的，两个周期各分 75 万。 活动注册： Axis 定位为 Physical AI 的数据引擎，在 Axis Hub 完成任务，实质是产出机器人运动轨迹，完成演示 → 平台审核 → 在 Base 链上签名，贡献会形成链上记录。 任务名额：每日约 20,000 个，先到先得；首日于 14:00 SGT 开放，之后多在每日 20:00 SGT 刷新 ，同时纪念徽章在完成轨迹签名的的时候可获得。 操作流程： 1.电脑上用币安钱包插件登录 Axis Hub 2.进到币安那一栏的活动页 3.做任务，每个任务最多交 5 条轨迹 4.审核过了去 Portfolio 里上链签名 关键的一点只有签过名的才算数，第二周期截止是 9 月 25 号下午 2 点，到点还没签的，就不会进最后的分配。 活动入口： @axisrobotics @KaitoAI

tdubey · HN

DWS A LLM Generated, "Drudge Report" style news site

@debugmediaa · X

@zeprompt · X

Prompt Machine — Turn intentions into structured prompts.