John Jumper's move from Google DeepMind to Anthropic turns a personnel story into a question about how scientific AI methods, enterprise coding agents, budgets, school policy, and agent security travel between institutions.

• John Jumper's post and Demis Hassabis's response anchor the lead: AlphaFold-era talent is moving, but the public record does not prove a DeepMind crisis.
• OpenAI's NTT Data Codex clip and Guinness Chen's Codex handoff post shift the Codex story from demo output to session continuity, permissions, and auditability.
• The FT/Hacker News cost item and Ethan Mollick's model-selection post make the budget question operational: when do you buy stronger intelligence, and when do you route to cheaper models?
• Reuters on Norway's elementary-school AI restriction, Mollick on mental effort, and Nature on skill erosion put the education segment on a concrete boundary: assistance is useful only if the learner still performs the work.
• Help Net Security's agent-security article and Mitchell Hashimoto's prompt-injection example close the episode with the surfaces operators now have to treat as executable context.