Thoughts on AI, engineering, and the future of technology.
How we optimized our training infrastructure to handle models 100x larger than before.
Exploring the convergence of vision, language, and reasoning in next-gen models.
Lessons learned from deploying AI in highly regulated environments.
Our playbook for maintaining research velocity across 12 time zones.
A deep dive into quantization, pruning, and custom CUDA kernels.
Unexpected capabilities that arise at scale and what they mean for safety.