We are living in the most accessible era of Physical AI development. From NVIDIA NIMs and NeMo Guardrails to Isaac Sim, ROS 2, and open foundation models, the tooling that once required an enterprise infrastructure team is now available to independent developers. Here is why that matters and where the next bottleneck lies.
Moonshot AI just dropped Kimi K3 and the specs are hard to ignore. 2.8 trillion parameters, Mixture of Experts architecture, a 1 million token context window, and leaderboard numbers that are putting it in the same conversation as GPT 5.6. Here is what actually matters and what does not.
