Auto Added by WPeMatico
Critics hope to keep Elon Musk from escaping a strict data-privacy order imposed by the Federal Trade Commission (FTC) shortly before he took over Twitter. The FTC order placed restrictions on X’s data use for 20 years, while requiring regular independent audits and granting the agency authority to request documents as needed to ensure compliance. […]
Elon Musk tries again to escape FTC audits of X data handling Read More »
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):AI generated legal filings threaten to overwhelm courts and cause legal costs to explode: https://futurism.com/artificial-intelligence/mit-expert-ai-generated-lawsuits-spike The data centres used by AI are increasingly unpopular with the people living in the areas they are built: https://www.extremetech.com/computing/the-ai-industry-is-failing-to-make-its-case-to-the-neighborhoods-its-trying Replacing public servants with AI is
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):The hardware demand from the AI boom is causing industrial relations problems for Samsung: https://www.rnz.co.nz/news/world/595429/at-samsung-the-global-ai-boom-spurred-a-looming-strike-and-deep-divisions Even at a so-called “elite” institution like Princeton, 30% of students are using AI to cheat: https://arstechnica.com/tech-policy/2026/05/ai-driven-cheating-widespread-even-at-elite-schools-like-princeton/ The New Zealand Defence Force really should have worked
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):Replacing people with AI is not generating meaningful returns: https://www.theregister.com/ai-and-ml/2026/05/06/ai-layoffs-backfire-as-cutting-staff-doesnt-cut-it-firms-warned/5230631 Good leadership is vital to make an organisation AI native: https://www.techtarget.com/searchcio/news/366642764/Enterprises-are-making-an-AI-native-transformation Some suggested safeguards for AI to protect users’ mental health: https://spectrum.ieee.org/mental-health-chatbot-guardrails What are the trade-offs of building AI data centres
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):AI has taken away so much entry-level work it is forcing young people into being entrpreneurs: https://www.theguardian.com/technology/ng-interactive/2026/apr/25/gen-z-entrepreneurs-business-ai AI vendor lock-in is a thing, and it’s becoming costly for businesses: https://www.theregister.com/2026/04/28/locked_stocked_and_losing_budget/ Zine creators continue to resist AI: https://www.theguardian.com/technology/2026/apr/28/zine-creators-fight-to-resist-ai-influence AI is finding flaws
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):AI generated music is becoming more common, and harder to detect by listeners: https://arstechnica.com/ai/2026/04/deezer-says-44-of-new-music-uploads-are-ai-generated-most-streams-are-fraudulent/ Michael Dell is funding research towards an AI-led hospital system: https://www.stuff.co.nz/business/360969141/michael-and-susan-dell-fund-ainative-medical-center-750 Out of date UK government web pages have been ingested by AI, which are now giving
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):People who use AI more have less confidence in their own intellectual abilities: https://futurism.com/health-medicine/ai-cognition-study The pain AI is causing educators-mostly caused by students using it to cheat: https://arstechnica.com/science/2026/04/to-teach-in-the-time-of-chatgpt-is-to-know-pain/ AI on the edge of the cloud continues to be a growth area:
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:
