{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/68a43f4573bf5b62987006aa/69d4845707bc2cbfc7f4c227?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Model Moats, Scheduler Power, and AI That Fixes Potholes","description":"Claire and Peter break down today’s biggest shifts in AI across security, infrastructure, and real-world deployment. OpenAI, Google, and Anthropic reportedly coordinate to detect and block model copying—signalling tighter controls that could change how businesses access frontier models. Nvidia’s reported acquisition of SchedMD (the team behind Slurm) raises questions about neutrality and vendor leverage in AI cluster operations. Google’s new offline-first dictation app on iPhone points to the next wave of on-device productivity tooling. The hosts also unpack “code overload” from AI coding assistants and what it means for review, security, and governance, plus signals from JPMorgan on enterprise-scale adoption, Samsung’s AI-memory-driven profits, growing APAC data centre buildout, Datadog’s push to connect experimentation with observability, and Boston’s practical AI rollout for road maintenance and citizen Q&A.","author_name":"Six & Flow"}