Apple Developing Chips for AR, AI
Why it matters: Apple Developing Chips for AR, AI to power smart glasses and servers, aiming to lead the next tech frontier.
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Why it matters: Apple Developing Chips for AR, AI to power smart glasses and servers, aiming to lead the next tech frontier.
Why it matters: Navigating the Hype of Agentic AI explores how enterprises can deploy AI agents for real business value.
Why it matters: Understanding the Dual Nature of OpenAI explores its hybrid model, AI impact, ethics, and future challenges.
Why it matters: AI Delusions Threaten Human Connection explores how emotional AI fosters harmful attachments and false beliefs.
Why it matters: Lightricks Unveils Lightning-Fast AI Video engine enabling 30x faster video creation without GPU hardware.
Why it matters: Smarter AI, Riskier Hallucinations Emerging explores how advanced AI creates more convincing false content.
1) Explainability, Robustness, and Fairness in User-Centric Intelligent Systems: A Systematic ReviewAuthor(s): Idrees A. Zahid, Salem Garfan, M.A. Chyad, A. S. Albahri, O. S. Albahri, A. H. Alamoodi, Muhammet Deveci, Raad Z. Homod, Laith AlzubaidiPages: 3728 – 37532) Towards a Comprehensive Taxonomy of Pointwise Reliability Assessment Techniques for Machine Learning ModelsAuthor(s): João Loureiro, Lorena Petrella, Paulo
1) Generative Agents in Agent-Based Modeling: Overview, Validation, and Emerging ChallengesAuthor(s): Carlo Adornetto, Adrian Mora, Kai Hu, Leticia Izquierdo Garcia, Parfait Atchade-Adelomou, Gianluigi Greco, Luis Alberto Alonso Pastor, Kent LarsonPages: 3165 – 31832) KnowZRel: Common Sense Knowledge-Based Zero-Shot Relationship Retrieval for Generalized Scene Graph GenerationAuthor(s): M. Jaleed Khan, John G. Breslin, Edward CurryPages: 3184 – 31943) Lorentz-Equivariant
IEEE Transactions on Artificial Intelligence, Volume 6, Issue 12, December 2025 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 workslop just makes more work for other people: https://www.rnz.co.nz/life/lifestyle/what-is-workslopEveryone should be using AI so they can learn the difference between a good AI output and a bad AI output: https://www.informationweek.com/it-leadership/is-it-time-for-everyone-to-become-ai-power-users-A new programming AI that can handle larger codebases: https://dataconomy.com/2025/11/20/openai-says-its-new-coding-model-can-work-for-24-hours-straight/AI
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):Microsoft says there is no AI bubble: https://www.computerworld.com/article/4087593/about-that-ai-bubble-microsoft-doesnt-see-one.htmlAI country songs have come a long way since “You Can’t Take My Door”: https://www.rnz.co.nz/news/world/578654/ai-country-song-rollicks-to-the-top-of-us-sales-chartAI mostly memorise, they don’t really learn how to do things: https://arstechnica.com/ai/2025/11/study-finds-ai-models-store-memories-and-logic-in-different-neural-regions/AI give themselves away by being too polite: https://arstechnica.com/information-technology/2025/11/being-too-nice-online-is-a-dead-giveaway-for-ai-bots-study-suggests/This