The case for open AI research instead of a development slowdown

The author opposes slowing AI development, arguing that physical-world harm requires more than intelligence: it also requires supply chains, facilities, people and experimentation, with guardrails along the way. Their bigger concern is that closed-source and merely open-weight models prevent adequate academic investigation, third-party audits and quantitative analysis. They point to their team’s K2-horizon release at IFM_AI, saying it open-sources data, model weights, code and checkpoints.