Watermarks Go Optional, Apple Localises AI in China, and Why LLM Constraints Collapse

Claire and Peter unpack today’s key shifts shaping AI in practice. Google is making visible watermarking user-controlled in Gemini and Flow, while keeping invisible SynthID and C2PA metadata, a change that pushes enterprises to enforce disclosure in workflows rather than relying on default labels. Apple is reportedly training a custom LLM for China with Alibaba, signalling how compliance and go-to-market strategy can drive local model variants. In India, Prime Minister Modi announces free online exam coaching and a plan to train one crore young people in AI skills, with major implications for talent pipelines and delivery logistics. Plus, AstraZeneca details its evidence-linked internal Research Assistant for R&D, and new research shows how model reliability can collapse when many constraints are stacked at once, reinforcing the need for verifiers and stepwise task design. Briefly, power costs for AI data centres, GPU performance for agentic workflows, Meta’s open-weight Glimmer, Gemini in Classroom, and a report on OpenAI shifting monitoring tactics.About Six & FlowSix & Flow is a digital transformation consultancy helping businesses adapt, grow, and thrive in a fast-changing world. We specialise in AI, CRM, and revenue operations, blending strategy, technology, and creativity to deliver measurable impact. From scaling startups to global enterprises, we partner with ambitious teams to unlock growth through smart automation, customer-centric marketing, and forward-thinking sales enablement. Learn more at sixandflow.com. Hosted on Acast. See acast.com/privacy for more information.