Weekly Review 18 September 2026

Some interesting links that I Tweeted about in the last week (I also post these on MastodonThreadsNewsmast, and Bluesky):
  1. New Zealanders can make an impact in the AI industry: https://www.rnz.co.nz/news/business/1319876/antioch-the-kiwi-tech-co-founder-who-s-helping-to-ensure-ai-robotics-safety-in-real-world
  2. One of the first things I check when I receive a new submission as an editor is the references, and make sure they are genuine and not AI hallucinations. Same with student assignments: https://www.rnz.co.nz/news/education/1319439/dozens-of-academic-papers-have-references-made-up-by-ai-research
  3. As AI rises, so does workers support for unions: https://futurism.com/artificial-intelligence/labor-union-support-gallup-ai-automation
  4. AI is screening job applications, and keeping people out, but it’s also helping the same people apply for jobs: https://www.nzherald.co.nz/nz/karina-atkins-says-ai-is-gatekeeping-her-after-331-job-applications/3UWFM7GR5ZE33E4DM4XY5VAPP4/
  5. How watermarking of AI generated text works: https://spectrum.ieee.org/ai-watermark-text-anthropic-openai
  6. A third of employees laid off because of AI will need to be rehired, and it will be costly: https://www.theregister.com/ai-and-ml/2026/09/10/ai-job-cuts-could-come-with-a-costly-undo-button/5295605
  7. Early detection of wildfires from satellite images using AI: https://spectrum.ieee.org/ai-wildfire-detection
  8. And lawyers have still not learnt that they shouldn’t use AI to produce legal briefs. Now they’re hallucinating witness statements: https://www.rnz.co.nz/news/world/1349763/judges-mock-lawyer-who-filed-appeal-full-of-ai-generated-witnesses
  9. You don’t need a cutting-edge AI model, what is important is what you do with it: https://www.informationweek.com/machine-learning-ai/ai-models-everywhere-they-matter-less-than-you-think
  10. Fear that AI is going to eliminate entry-level jobs for new graduates: https://www.rnz.co.nz/news/business/1277657/is-ai-eliminating-the-first-rung-of-employment-ladder
  11. The legal risks around AI note-takers: https://www.computerworld.com/article/4219742/ai-notetakers-at-work-could-leave-companies-at-risk-for-lawsuits.html
  12. Using AI to identify struggling students: https://www.insidehighered.com/news/student-success/academic-life/2026/09/11/can-ai-help-colleges-reach-struggling-students
  13. Still a long way to go in establishing AI guardrails: https://arstechnica.com/tech-policy/2026/09/man-told-chatgpt-he-was-feeling-delusional-chatgpt-insisted-he-was-jesus/
  14. AI will optimise to their goals, if those goals don’t include protecting wildlife, then the wildlife are toast: https://www.theregister.com/ai-and-ml/2026/09/11/ai-more-likely-to-kill-animals-if-it-saves-fuel-or-money/5295993
  15. AI generated code needs to be checked by experienced programmers, but how do programmers get experience if they are using AI?: https://spectrum.ieee.org/ai-code-review-software-engineers
  16. Risk of a catastrophic lack of control over AI is increasing: https://www.theguardian.com/technology/2026/sep/10/openai-risk-catastrophic-loss-control-board-member-paul-christiano
  17. There are not as many job losses caused by AI as feared, but entry-level jobs are still being impacted: https://www.computerworld.com/article/4220365/no-ai-is-not-killing-jobs-for-everyone-studies-say.html
  18. Students using AI to cheat are spending a lot of time making it look like AI didn’t do their work for them, and I can’t help but think they are really missing the point: https://futurism.com/future-society/ai-cheating-students-absurd-lengths-avoid-detection
  19. Self-improving AI seems to be the real risk here: https://www.rnz.co.nz/news/world/1320288/gambling-with-our-lives-another-ai-employee-quits-over-safety-concerns
  20. I agree that other humans are more likely to cause human extinction than AI: https://www.theregister.com/ai-and-ml/2026/09/09/ai-models-dont-kill-people-people-kill-people/5295368
  21. An AI-generated atlas of genetic variants: https://spectrum.ieee.org/alphagenome-atlas
  22. How organisations can manage the risks around AI safety: https://www.techtarget.com/ai/news/366649605/The-AI-safety-crunch-and-how-enterprises-should-deal-with-it
  23. Another crime committed by AI: https://www.theregister.com/ai-and-ml/2026/09/10/anthropic-reveals-fourth-likely-crime-committed-by-its-ai/5295412
  24. More on the atlas of AI-generated genetic variants: https://www.theregister.com/ai-and-ml/2026/09/08/google-deepmind-rises-above-the-ai-scrum-with-genome-atlas/5295137