Weekly Review 5 December 2025

 Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):

1. The pressures on artists to use AI, and the backlash against it: https://arstechnica.com/features/2025/11/go-generate-a-bridge-and-jump-off-it-how-video-pros-are-navigating-ai/
2. The dangers AI pose to students' mental health: https://www.insidehighered.com/opinion/views/2025/11/25/chatgpt-poses-risk-student-mental-health-opinion
3. Another enormous investment in infrastructure for AI: https://techcrunch.com/2025/11/24/aws-is-spending-50b-build-ai-infrastructure-for-the-us-government/
4. I lived through the 80s, and enjoyed the 80s, but not enough to want to use AI to fake nostalgic videos: https://www.nzherald.co.nz/world/fake-ai-nostalgia-videos-have-a-new-generation-loving-1980s-life/7C2KVUHZQBDHZMRGUBYZ37W2GU/
5. 11.7% of the US workforce can be replaced with AI: https://www.cnbc.com/2025/11/26/mit-study-finds-ai-can-already-replace-11point7percent-of-us-workforce.html
6. AI produce novel proteins directly from bacterial genome: https://arstechnica.com/science/2025/11/generative-ai-meets-the-genome/
7. A tip for AI companies-if your AI helps a user commit suicide, don't blame the user: https://arstechnica.com/tech-policy/2025/11/openai-says-dead-teen-violated-tos-when-he-used-chatgpt-to-plan-suicide/
8. The current state of AI in cybersecurity, and where it's going: https://www.informationweek.com/cyber-resilience/what-ai-gets-right-in-cybersecurity-and-where-it-must-improve
9. The fundamental problem behind the AI bubble: https://www.theverge.com/ai-artificial-intelligence/827820/large-language-models-ai-intelligence-neuroscience-problems
10. Really, it's still early days in using AI in the workplace: https://www.computerworld.com/article/4096980/ai-fluency-in-the-enterprise-still-a-horseless-carriage.html
11. How AI is improving job searches on LinkedIn: https://www.computerworld.com/article/4096076/how-linkedin-is-using-ai-to-improve-its-job-search-features.html
12. More and more AI generated slop is on the internet, will consumers get a chance to choose to say no? https://www.computerworld.com/article/4094557/the-world-is-split-between-ai-sloppers-and-stoppers.html
13. Students are increasingly using AI as a learning aid, rather than a cheating tool: https://www.insidehighered.com/opinion/views/2025/11/26/case-ai-accommodation-opinion
14. AI in search is changing how companies present themselves online: https://www.rnz.co.nz/news/business/580085/it-s-interesting-times-how-ai-is-changing-the-search-for-information-in-nz
15. The British government is investing more in growing the AI sector: https://arstechnica.com/information-technology/2025/11/uk-government-will-buy-tech-to-boost-ai-sector-in-130m-growth-push/
16. A new benchmark for measuring the capacity of an AI to cause harm: https://techcrunch.com/2025/11/24/a-new-ai-benchmark-tests-whether-chatbots-protect-human-wellbeing/
17. Are Microsoft's statements on AI meaningful? https://www.computerworld.com/article/4093970/is-microsofts-humanist-superintelligence-vision-more-than-an-empty-slogan.html
18. Guardrails. If you put AI in kids toys, you need really good guardrails: https://www.theguardian.com/technology/2025/nov/28/artificial-intelligence-smart-toys
19. AI don't get puns. Dads everywhere are safe: https://www.theguardian.com/technology/2025/nov/24/ai-doesnt-get-puns-study-finds
20. Scientific datasets need to be restructured to allow them to be used by AI: https://www.hpcwire.com/bigdatawire/2025/11/27/the-global-race-to-build-ai-ready-scientific-datasets/
21. Amazon staff start pushing back against AI: https://www.theguardian.com/technology/2025/nov/28/amazon-ai-climate-change
22. Why vibe coding won't last: https://www.theregister.com/2025/11/24/opinion_column_vibe_coding/
23. Can we really trust a government AI to keep our information private: https://www.rnz.co.nz/news/national/580094/mental-health-data-won-t-be-misused-by-new-ai-navigation-tool-minister
24. AI will break safety rules if it means getting things done under pressure: https://spectrum.ieee.org/ai-agents-safety