"This is a broader pattern we're seeing across other fields where LLMs are being deployed. Whether it's coding, writing, design, law, or medicine, the most effective AI users are people who already have deep domain expertise. Expertise isn't obsolete; it's more important than ever-because the value isn't just in producing outputs quickly. It's in being able to vet, steer, and improve those outputs.
The future of computer science education isn't about teaching less. It's about teaching differently. We still need students who can understand how software works at a fundamental level. But we also need to train them to collaborate with AI-to become fluent in prompting, reviewing, debugging, and refining AI-generated outputs. Mastering this hybrid skillset will be critical not just for engineers, but for anyone hoping to thrive in a world where knowledge work is increasingly AI-augmented.
Practically speaking, AI could dramatically lower the barrier to entry for students. When I was in high school, it would take months (if not years) of training in CS before you could create a game or app that was genuinely cool to people that aren't inherently curious and nerdy."
"German Green party MP, Malte Spitz, went a step further and published 6 months of records kept (at the time by law) by his phone company about him. To emphasise how scary it was privacy-wise he published it in the form of a minute by minute interactive map, so anyone could follow his exact location (just like the phone company) as though in real time from the location metadata his phone was giving away all the time. The metadata was combined with his freely available social networking data, allowing anyone to see not just where he was but often what he was doing. Germany no longer requires phone companies to keep this metadata, but other countries have antiterrorist laws that require similar information to be kept for everyone. You can explore Malte's movements at (archived link: www.zeit.de/datenschutz/malte-spitz-data-retention) to get an idea of how your life is being tracked by metadata."
"What if facial recognition technology isn't as good at recognising faces as it has sometimes been claimed to be? If the technology is being used in the criminal justice system, and gets the identification wrong, this can cause serious problems for people (see Robert Williams' story in "Facing up to the problems of recognising faces")."
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