{"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/6a9ce6c063a0b6cd1e9f0a3d?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"AI accountability, agriculture at scale, and the new rules taking shape","description":"In today’s episode of AI in Flow, Claire and Peter track a fast-moving shift from experimentation to enforcement. OpenAI signals it will overhaul how it reports real-world misalignment incidents involving agents, raising expectations for clearer disclosure standards across the industry. Google rolls out operational geospatial AI for agriculture, with DeepMind models ALU and AMED available via APIs and Google Earth for field mapping and monitoring in multiple regions. New York City schools announce strict limits on AI and screens for younger students, while publishers including the Seattle Times and Newsday sue OpenAI and Microsoft over alleged use of journalism in training data. The episode also looks at the politics and economics of AI infrastructure, as an AI growth zone in Scotland could receive major energy discounts, alongside a quick roundup of smaller stories touching on consumer AI risks, conservation choices, smart home appliances, AI education planning, and industrial build-out.","author_name":"Six & Flow"}