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Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):You can’t trust an AI shopping agent to not screw things up: https://futurism.com/artificial-intelligence/target-ai-agent-tos Concepts you need to understand to use LLM AI effectively: https://www.kdnuggets.com/10-llm-engineering-concepts-explained-in-10-minutes Using AI means designers can evaluate designs orders of magnitude faster than before: https://spectrum.ieee.org/large-physics-models-design-engineering I understand that

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):Using AI leads to people losing their logical thinking skills: https://arstechnica.com/ai/2026/04/research-finds-ai-users-scarily-willing-to-surrender-their-cognition-to-llms/ These five statistical biases are worth knowing if you work with AI training data: https://www.kdnuggets.com/the-most-common-statistical-traps-in-faang-interviews One way to defeat AI plagiarism in class is to make students use typewriters: https://futurism.com/artificial-intelligence/ai-professor-typewriters

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):AI rollouts fail because staff are scared of AI: https://www.theregister.com/2026/03/26/workplace_ai_forrester/ Looks like even AI can become over-confident from false praise: https://www.theregister.com/2026/03/24/ai_models_persona_prompting/ Shoe-horning a huge AI model into a PC seems like an impressive engineering achievement for a problem that doesn’t exist: