/anatomy explain how inverse and forward kinematics work, based on my blog.
check 👇
airo7.me/blog/robot-arm-kine…
Introducing Anatomy
Describe a machine in one line. Claude brings it to life.
- Interactive isometric wireframes you can rotate, inspect and explore
- WebGL shaders for fire, water, plasma and more
- Real 3D motion, with individual parts that rotate and move
Install it as an agent skill. Fully open source.
all you need is Schmidhuber. @SchmidhuberAI
with Jev bringing calibrated confidence and RLCD into the spotlight, it's worth remembering: modeling prediction reliability with RL goes back to 1991.
people.idsia.ch/~juergen/FKI…
humans need simplification to act,
but reality doesn’t simplify itself for our convenience.
reality is continuous; cognition discretizes it.
reality is complex; cognition compresses it.
reality is particular; cognition generalizes it.
reality exceeds the model;
the model remains useful.
but what is reality,
when every way we know it is already a model?
turned that into a published skill.
install the skill on your Hermes @NousResearch agent and get production access first try.
sandbox → production access, DKIM/SPF, SMTP credential derivation, the whole playbook that got me out of the rejections, now open source.
github.com/airo7/aws-ses-ski… clawhub.ai/airo7/skills/aws-…
shoutout to Hermes agent. @NousResearch
tried multiple times to get AWS SES production access. kept getting rejected.
gave my hermes agent limited IAM access, it handled DNS/DKIM checks, use-case wording, and the support case details autonomously.
production access granted in 3 days.
wild what a properly tooled agent can unblock.
shoutout to Hermes agent. @NousResearch
tried multiple times to get AWS SES production access. kept getting rejected.
gave my hermes agent limited IAM access, it handled DNS/DKIM checks, use-case wording, and the support case details autonomously.
production access granted in 3 days.
wild what a properly tooled agent can unblock.
kimi 🔥
Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights: huggingface.co/moonshotai/Ki…
Tech report: github.com/MoonshotAI/Kimi-K…
Tech blog: kimi.com/blog/kimi-k3











