ÜBER DIESE EPISODE
CodeRabbit CEO Harjot Gill discusses Codex-assisted software delivery and CodeRabbit Secure, while OpenAI details its Control Room for stopping research workloads and Meta introduces Muse Ember for repetitive agent tasks. Also covered: DeidSharp’s clinical-text de-identification evaluation, proposed Nvidia chip export controls, security executive Lisa Thiergart’s assessment of espionage risks, and a Claude Fable 5.2 prompting test.
- CodeRabbit describes shipping roughly twenty times more software with the same engineering team and explains how it reviews and secures agent-generated code. Source: https://openai.com/index/coderabbit-codex-daybreak
- OpenAI explains how Control Room tracks research jobs, denies inference requests for stopped jobs, and fails closed if its service goes down. Source: https://openai.com/index/control-room
- Meta launches Muse Ember; Simon Willison examines its agent-task positioning, short-prompt pricing, and longer-prompt threshold. Source: https://simonwillison.net/2026/Nov/10/muse-ember/
- A DeidSharp preprint tests layered, locally hosted detection of protected health information in clinical text. Source: https://arxiv.org/abs/2611.12709v1
- The Information reports renewed consideration of restrictions involving advanced Nvidia chips and remote access from China. Source: https://www.theinformation.com/articles/nvidias-next-headache-new-push-export-controls-wake-spy-scandal
- Security Level 5 CEO Lisa Thiergart discusses suspected espionage risks at U.S. AI companies. Source: https://www.theinformation.com/articles/likely-spies-ai-companies-says-security-executive-lisa-thiergart
- Anthropic’s small coding-task tests show how an ownership instruction changes Claude Fable 5.2’s tendency to merge repeated code. Source: https://simonwillison.net/2026/Nov/10/prompting-claude-fable-52/
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Welcome to the UpNext AI podcast. It's Tuesday, November 10th, 2026, and here's what matters in AI today.
CodeRabbit says it has been shipping roughly twenty times more software over the past six months without adding engineers, using OpenAI’s Codex. The figure comes from CEO Harjot Gill in an OpenAI customer case study, and it describes CodeRabbit’s own engineering output. His account also makes clear that adding coding agents required changes to testing, release processes, and where people app…
CodeRabbit says it has been shipping roughly twenty times more software over the past six months without adding engineers, using OpenAI’s Codex. The figure comes from CEO Harjot Gill in an OpenAI customer case study, and it describes CodeRabbit’s own engineering output. His account also makes clear that adding coding agents required changes to testing, release processes, and where people app…
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