Google Public Policy’s Post

Google DeepMind The key point here is that AI is a tool, NOT God. Cost is another issue. AI can do many things, but NOT everything, at least NOT what we are doing in data analytics. Do you or any of your contacts need our expertise and our IP to do the data analysis by a simple technology? One basic demand is that data analytics needs metadata, just like we need menu to order our food at a restaurant. Metadata is a copyrighted content, NOT technology. It enables data analytics. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, high-end chips, quantum/super computers, etc. https://lnkd.in/g-aJFnXR Let's try a go/no-go test to see if AI works without metadata, and then, at what cost. Is there any data solution, AI or NOT, that can answer the following questions of business intelligence? "How many entities, in the Ontario province of Canada or in the "江蘇" province of China, have new US patents granted on the nearest Tuesday (Eastern Time), when the USPTO releases the newly granted US patents on a weekly basis?" With our intellectual property (IP), a Chinese-English multilingual metadata, we can answer, simply on an ordinary laptop.

This article really hit me with how little we actually know about the universe. I mean, we've come so far, but the big questions about time, consciousness, and what reality is are still wide open. It makes you realize how much we need new ways of thinking and new tools to explore these mysteries. The idea that AI could be that missing piece—that it could help us unravel these fundamental puzzles—is incredibly exciting. It's almost like science fiction, but seeing what AlphaFold has already accomplished, it doesn't feel so far-fetched anymore. It really makes you wonder what incredible discoveries are just around the corner

Reminding AI is a tool rather than a god or terminator is a great way to approach this AI-hyped world. It seems we're way more focused on the quality of the data rather than the architecture of the model that we're using. LeCun's "AI is not yet as smart as a dog" statement backs up the idea of why we should more focus on the architecture rather than a bigger dataset even though it provides more correct and rich content to the end user.

Make everything as a consumer with collaboration and AI to make solutions for everything and sustainability in this way you can solve all world problems.

Google DeepMind you are huge you are unpredictable, and i love you 3000 times

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Very informative

I agree! Bring on the future

Reposted ..

Insightful.