Andrew Ng's The Batch: verification drives AI progress
The verification-as-bottleneck framing offers a practical filter for deciding where to deploy AI today: benchmark gains in code or math may not transfer to open-ended judgment work in your domain. Practitioners building automation roadmaps can use this lens to prioritise workflows with clear correctness checks. The newsletter's roundup of Claude 5.5 releases and Mistral Large 4 also serves as a quick catch-up for readers tracking competing frontier models.
