Articles
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1 week ago |
diginomica.com | George Lawton
We'll send you our top articles (and no marketing spam), no more than once a week. The current crop of agentic AI tools and frameworks is built on a foundation of Large Language Models (LLM). These tools learn a correlational model of words but lack a cause-and-effect model of the world required to set and act towards goals. The recently ratified IEEE P2874 Spatial Web standard lays a roadmap to support this foundation.
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1 week ago |
diginomica.com | George Lawton
Main content The IEEE has finalized the first IEEE P2847 Standard for Spatial Web Protocol, Architecture, and Governance. This system standard outlines an overall framework required to support an agentic AI-oriented web of world models. Several implementation standards for modeling context, interactive communication, addressing, security, governance, and trust will be released in the future. We'll send you our top articles (and no marketing spam), no more than once a week.
Something for the weekend - why we should all be appalled by Meta’s latest super-intelligence gambit
2 weeks ago |
diginomica.com | George Lawton
Main content We'll send you our top articles (and no marketing spam), no more than once a week. Rumors are swirling through the mainstream media that Meta is in talks to quasi-acquire Scale AI to form a “super-intelligence” lab.
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2 weeks ago |
diginomica.com | George Lawton
Main content We'll send you our top articles (and no marketing spam), no more than once a week. Quantum computing has a bit of an explainability problem. While quantum technology promises tremendous advances in the long run, it's challenging to translate the significance of obscure advances to technology decision makers.
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2 weeks ago |
techtarget.com | George Lawton
The theories behind quantum computing go back decades, but progress has accelerated in the 2000s. Know the key milestones to get a quick understanding of how quantum developed. Quantum computing has made considerable progress since theoretical ideas were first formally explored in the 1970s.
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I recently spoke with Jeffrey Emanuel @doodlestein who is widely attributed with catalyzing the recent $2 trillion dollar market correction in the wake of DeeSpeek. Lots of additional context on AI valuations. https://t.co/kLnSwhjXRQ
OpenAI CEO @sama wants to spend $7 trillion on an AI chip maximizer that promises to scale AI faster. How about we #acceleratetrust instead? Here are some reasons why accelerating trust frameworks may scale AI even quicker. https://t.co/Ih48iPzndx
It's tempting to gloss over the epic significance of NIST's recent call for help on setting AI responsibility, safety, and trust metrics and standards. In this post, I explain why the new NIST forum will shape the future of trustworthy AI. https://t.co/Z2FtFhG4Gs