Collaborative Intelligence Week in Review - 08Dec2023
Best business article(s) I read this week…
Originality and the Future of Copyright in an Age of Generative AI
How generative AI affects copyrights, the notion of “authorship,” and related issues is a very hot topic (especially in Legal Services). This is a long article from Computer Law & Security Review, but it is very thought-provoking.
Diffusing the Creator: Attributing Credit for Generative AI Outputs
Attribution is a topic related to those in the article above. I included it for completeness. It’s not as good as the first article, but it makes some interesting points, arguing for the notion of collective credit.
Best technical article(s) I read this week…
Quantum-Inspired Neural Network Model of Optical Illusions
I doubt this will appeal to many of you, but I found this very interesting and unique. It describes how the authors trained a neural network using quantum computing techniques to identify the Necker cube, an optical illusion. Such techniques have applications in computer vision, virtual reality, and other fields that rely on human perception of visual inputs.
Other item(s) of note…
Google announces Gemini, its ChatGPT competitor
Gemini is a multi-modal (text, image, etc.) Large Language Model designed to compete with ChatGPT. Google claims it outperforms ChatGPT-4. Actual users may disagree.
Deloitte’s TechTrends 2024 Report
This is Deloitte’s 15th annual report on technical trends that should be on the radar of C-Suite executives.
The emergent industrial metaverse
This report from MIT Technology Review was published earlier this year, but I just discovered it. It discusses how digital twins and related technologies will impact industrial production, businesses, and consumers.
A new machine learning algorithm uses molecular analysis to predict how new and existing substances will smell to humans. It’s another example of how companies could use multi-model machine learning models to get feedback on prospective products/services before they are released.
AI-Powered Drive-Thru Is Actually Run Almost Entirely By Humans
A Bloomberg article that raises questions about claims by AI startups regarding the current capabilities of their AI products/services.
No need to click on the link. Here’s the headline: NVIDIA reported that 3Q revenue for the division that sells its AI chips increased from $3.8B to almost $14.5 billion year-over-year (a 279% increase).
Coolest thing I saw…
Unfortunately, I didn’t see anything I thought was cool. Did you?