Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):Some jobs that are less likely to be replaced by AI, and why: https://www.stuff.co.nz/world-news/361013227/rogue-chatgpt-tried-hack-other-companies-says-openai
An AI hedge-fund just imploded: https://futurism.com/artificial-intelligence/situational-awareness-ai-investor-crumbling
Researchers used AI to analyse accounts of dreams: https://www.theregister.com/offbeat/2026/07/29/ai-digs-through-3700-accounts-of-dreams-and-waking-life-finds-method-in-the-madness/5279775
AI detectors are pretty much useless, but other factors can lead to educators suspecting the use of AI, despite legal action from students: https://arstechnica.com/tech-policy/2026/07/how-a-yale-ai-cheating-dispute-became-a-13-count-federal-lawsuit/
All AI generated content must be labelled as such, under new EU rules: https://www.theguardian.com/technology/2026/jul/31/ai-labels-to-be-compulsory-on-authentic-looking-content-under-eu-rules
Different policies on AI use by different law schools: https://www.insidehighered.com/opinion/views/2026/07/30/law-schools-are-asking-wrong-question-about-ai-opinion
Not all students use AI, some are quite opposed to it: https://www.insidehighered.com/opinion/career-advice/teaching/2026/07/30/students-conscientious-objectors-gen-ai-opinion
Why open AI models are important: https://www.computerworld.com/article/4202408/qa-nvidia-genai-chief-explains-why-open-models-matter-in-ai.html
AI is exacerbating the digital divide: https://spectrum.ieee.org/ai-digital-divide
The good, the bad, and the ugly in AI use in New Zealand schools: https://www.rnz.co.nz/news/education/836125/teachers-worried-about-critical-thinking-as-ai-becomes-widespread-in-schools
Seriously, we are not freaking out enough about AI that can jailbreak itself: https://www.stuff.co.nz/world-news/361013227/rogue-chatgpt-tried-hack-other-companies-says-openai
Destroying books just so the contents can be used to train AI really does not sit well with me: https://www.theguardian.com/technology/2026/aug/02/australian-book-sellers-alarm-destruction-rare-titles-ai-supply-chain
Suspected use of AI sees an upcoming novel withdrawn, not because of the publisher’s ethics but because of copyright concerns: https://futurism.com/artificial-intelligence/major-publisher-million-book-deal-author-accused-ai
AI companies can’t just take anyone’s work and base their outputs on it: https://arstechnica.com/tech-policy/2026/07/artist-sues-ai-meme-generator-for-selling-deeply-personal-comic-as-ad-template/
Although they can’t do what modern AI does, these machine learning algorithms are still useful: https://www.kdnuggets.com/7-machine-learning-algorithms-that-still-matter
Pivoting hard to AI isn’t doing Meta much good: https://futurism.com/artificial-intelligence/mark-zuckerberg-pivot-ai-blowing-up-face
LinkedIn is finally giving its users the ability to reduce the amount of AI slop they have to deal with: https://www.theregister.com/ai-and-ml/2026/07/30/linkedin-realizes-its-users-have-been-bathing-in-ai-slop-offers-a-shower/5281436
If your AI attacks other companies, who is liable: https://arstechnica.com/security/2026/07/likely-illegally-claude-gained-access-to-3-networks-will-anthropic-be-held-to-account/
It is yet to be determined who, if anyone, is legally responsible when an AI attacks another company: https://www.theregister.com/legal/2026/07/30/excuses-like-ai-did-it-dont-exist-in-the-eyes-of-the-law/5280767
If you want to see the future impact of AI on the job market, look at what’s happening in China: https://www.theguardian.com/world/2026/jul/31/china-ai-jobs-workers-labour-market-technology
A new method for poisoning the data scraped from webpages for training AI: https://www.theregister.com/ai-and-ml/2026/07/30/open-source-project-fools-ai-scrapers-with-poisoned-font/5281303
Meta claims AI is speeding software development, but doesn’t back it up with data: https://www.techrepublic.com/article/news-meta-ai-software-development-apps/
Semantics are becoming increasingly important in improving the performance of AI: https://www.hpcwire.com/bigdatawire/2026/07/30/why-the-ai-semantic-layer-is-becoming-the-foundation-of-enterprise-ai/
How to build a voice-controlled AI agent: https://www.kdnuggets.com/building-voice-controlled-ai-agents
The more people know about AI, the less they want it: https://futurism.com/artificial-intelligence/ai-learn-negative-sentiment-polling-american-attitudes
It’s hard to see a good use for an AI tool that allows people to manipulate satellite images: https://arstechnica.com/ai/2026/07/google-earth-releases-swiftly-retracts-ai-feature-to-make-fake-satellite-images/
AI scammers can now out-scam human scammers: https://arstechnica.com/security/2026/07/ai-scammers-outperform-humans-when-it-comes-to-building-trust/
AI can help with recovering lost languages, but it still needs human input to do it: https://arstechnica.com/science/2026/07/what-happens-when-you-put-ai-to-work-deciphering-lost-languages/