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
- Reports on the impact of AI on the job market are were based on some pretty big assumptions: https://arstechnica.com/ai/2026/03/how-did-anthropic-measure-ais-theoretical-capabilities-in-the-job-market/
- AI are NOT trustworthy: https://www.computerworld.com/article/4153919/why-ai-lies-cheats-and-steals.html
- While Large Language Model AI are fairly new, they're built on 90 years of development: https://www.techtarget.com/searchenterpriseai/tip/History-of-generative-AI-innovations-spans-9-decades
- AI facial recognition makes a lot of mistakes and causes a lot of harm: https://spectrum.ieee.org/facial-recognition-gone-wrong
- Users of AI need to understand the data behind the insights AI provide, before those insights can be trusted: https://www.hpcwire.com/bigdatawire/2026/03/31/the-ai-trust-gap-why-ai-performance-requires-control/
- Educators need to be transparent about the use of AI in producing teaching material: https://www.insidehighered.com/opinion/career-advice/teaching/2026/03/30/different-kind-ai-disclosure-statement-opinion
- AI pentesting tools allows for continuous security testing: https://www.theregister.com/2026/04/01/amazon_security_boss_ai_efficiency/
- Five different approaches to integrating AI into the university curriculum: https://www.insidehighered.com/news/student-success/academic-life/2026/04/03/how-5-colleges-are-approaching-ai
- Now CEOs are going because of AI: https://futurism.com/artificial-intelligence/ai-ceos-resign
- AI really is the ultimate capitalist tool-companies slash thousands of jobs even though they're already highly profitable: https://www.theguardian.com/technology/2026/apr/01/us-tech-firm-oracle-cuts-thousands-of-jobs-as-it-steps-up-ai-spending-larry-ellison
- Modular data centres allow for faster and cheaper scaling for AI: https://spectrum.ieee.org/modular-data-center
- Red Hat plans to roll more AI into its processes: https://www.theregister.com/2026/03/31/red_hat_ai_dev/
- Don't believe the hype around AI: https://www.computerworld.com/article/4152552/beware-of-headlines-touting-impossible-ai-benefits-analysts-warn.html
- Hands-on skilled workers are the ones least likely to be displaced by AI: https://www.theguardian.com/technology/2026/mar/31/jobs-ai-cant-do-young-adults
- Having many services hanging off of a single AI model means a single-point of failure: https://www.informationweek.com/machine-learning-ai/your-ai-vendor-is-now-a-single-point-of-failure
- AI needs chips, and chips makers need helium. The war with Iran has interrupted the helium supply: https://futurism.com/artificial-intelligence/helium-ai-iran-war
- AI is really destroying childrens' ability to learn: https://www.theguardian.com/technology/2026/apr/02/pupils-england-losing-thinking-skills-because-of-ai-survey
- Tertiary students are using AI for mental health support because on-campus support is not accessible: https://www.insidehighered.com/opinion/views/2026/04/03/what-know-about-ai-and-campus-mental-health-opinion
- Students are using AI-enabled glasses to cheat in exams: https://www.extremetech.com/electronics/ai-smart-glasses-rentals-are-helping-students-cheat-on-their-exams
- The waste heat from AI data centres directly affects the environment for kilometres around: https://www.theregister.com/2026/04/01/ai_datacenter_heat_islands/
- AI services are now being used for supply-chain attacks: https://www.theregister.com/2026/04/02/mercor_supply_chain_attack/
