Introducing arkenOS — an autonomous training gym that takes any RL agent from a goal to a proven, deployable policy. We are automating complex RL research, enabling high-velocity training and rigorous, diverse environment design and testing right on your local hardware. Out of the box. Our bet is simple:... The future of AI will be built by companies giving millions of agents millions of simulated environments to adapt and learn cause and effect in, and survive. This continuous, autonomous selection will create a digital Cambrian explosion, distilling evolutionary trial and error into a foundational specialized intuition.show more

We, @iaconhq, are officially opening our waitlist today—join us here If you are building physical AI, training robots, or fine-tuning LLMs on environment-specific data, we want to fast-track your pipeline. You can plug into hundreds of pre-built environments to generate high-fidelity data, prove out your policies at scale, and ship robust models out of the box. If you’re actively training or scaling right now, my DMs are open!

Let’s gooo

anyone you know we should have on our waitlist?

let’s goo 🚀🚀

lessgooo 🚀

@Scobleizer 有点意思

cool video m8

RL training has been the real bottleneck for deploying agents in production. Automating environment design is the part most teams can't crack. Interesting bet.

It's crazy that you can run millions of RL agents locally. My electricity bill's getting nervous.

本地硬件上把 RL 从目标直接炼成可部署策略，这自主健身房也太香了，以后实验少熬夜全靠你们——有空也来我这逛逛留言哈