I built Faultline for the Meta Global AI Developer Hackathon: a video rules judge for forklift safety and sim racing. Code measures and decides; Meta models analyze visual evidence beside each ruling. Try the live demo: https://t.co/jwJfFs2QKv
Help us win ‘most viral’ for the Meta 2026 AI Developer hackathon. We built a AI race steward for sim racing. Like, repost, and comment on the linked X post to help us out!
https://t.co/Aj7AViyFgZ
I built Faultline for the Meta Global AI Developer Hackathon: a video rules judge for forklift safety and sim racing. Code measures and decides; Meta models analyze visual evidence beside each ruling. Try the live demo: https://t.co/jwJfFs2QKv
Help us win ‘most viral’ for the Meta 2026 AI Developer hackathon. We built a AI race steward for sim racing. Like, repost, and comment on the linked X post to help us out!
https://t.co/Aj7AViyFgZ
Help us win ‘most viral’ for the Meta 2026 AI Developer hackathon. We built a AI race steward for sim racing. Like, repost, and comment on the linked X post to help us out!
https://t.co/Aj7AViyFgZ
I built Faultline for the Meta Global AI Developer Hackathon: a video rules judge for forklift safety and sim racing. Code measures and decides; Meta models analyze visual evidence beside each ruling. Try the live demo: https://t.co/jwJfFs2QKv
Haha, exactly! So much more innovation to come with this concept, it’s only the beginning for me. The with sim racing it almost felt like cheating because telemetry data was available for me, but forklifts? I’ve got nothing there, it’s ruling on visual and rules alone, but imagine how much better that gets for sim racing with extra telemetry data applied.
@AIConsultantUK The race protests were my initial idea, but after the forklift concept came to mind it took off from there to because a system where you simply build adapters to bring in new domains. Potential is limitless that way.
@yhimanshu22456 You're exactly right. So many edge cases to account for here; this hardly scratches the surface, but it provides the foundation to accomplish it.
@eddnoxx Thank you! Totally agree, I started out in just my league racing domain and after realizing the possibilities for others, I couldn’t put it down and the other domains and modularity took over 😂
Thus far, the vast majority of the sample has been synthetically generated footage. With more time and real footage from sites, this project could become something far more impressive than it is now.
But as a proof of concept and demo, it shows how powerful these models can be when they work together, backed by a logic system.
@ChaseAldridgeAI Really great question! It's a big one. Yes, it's one of the hardest hurdles I ran into, along with camera positioning. To work at a specific site, the system will need slight modifications depending on the existing camera positioning and lens types/distortion.