DeepMind AI Reduces Google Data Centre Cooling Bill by 40%

That sounds like a good idea for a chrome extension.

yeah, if it works; it is no longer AI. It is like a rainbow or a horizon—it should be always just out of reach otherwise it is not a real thing (according to some people).

What _is_ an "AI" ?

You are arguing from a high horse because that's how the human mind came to be and look where it's gotten us.

When people talk about AI, the topic invariably turns to things like "truck drivers and other low-skill jobs should be scared!" I think the reality is the opposite. I think that anyone whose job is to do mid-to-high skill work with numbers should be scared, because you can automate their jobs without solving the messy problem of getting computers to move big physical objects around.

We have some really smart gals too!

That's a very interesting point.

While AI is not at a point to write programs, it's probably going to eliminate the need for many programs.

A majority of programs exist in order for people to use them to achieve some result. If the AI can achieve the same result, you've eliminated the need for the program, and the programmers who would program it, and the people who would use it (and the sales people who would sell it).

I would counter the fear. Data center engineering requires expert knowledge (network, civil engineering, material science, etc), and expert knowledge is a testimony of experience, and experience is only proven to be good with data (track of records!)! While computers are very good at making prediction and decisions with enough data, humans are still integral in the decision such as actually building the blueprint and architecting the right system. That computer cannot do. Only human is capable of doing that today. Not to be too negative because I don't know how complicated the model is, but since they already have senors all the years (they use these senors to determine how much cool air need to be come in, how much of hot air need to be released and reused, etc), I am not sure how the learning model is different from a classical supervised ML algorithm. I can only think of simulation wasn't in the original equation and here they do some simulation?

I'm sure someone said the same thing when AWS was created but it has only always resulted in an explosion of new needed skills.

The computer doing this is the result of smart people working on the problem.

Well, to be fair, the AI probably tried somewhere over several millions of times before coming to whatever conclusion it reached in its training process

This wasn't clear to me either. The best I could understand was from this statement

"The purpose of these predictions is to simulate the recommended actions from the PUE model, to ensure that we do not go beyond any operating constraints."

Seems that the action was to deliver the perfect amount of cooling needed for the current/predicted load. I'm guessing the old model was sloppy with the cooling and used more power to keep the servers cooler than they needed to be.