Safety-first AI for autonomous data centre cooling and industrial control
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Re: Safety-first AI for autonomous data centre cooling and industrial control
#2Why every company's PR team insists on this meaningless self-serving propaganda being inserted into tech blog posts is beyond me. You know we all see through it, right?
Re: Safety-first AI for autonomous data centre cooling and industrial control
#3Sorry, what? It must be more complex than that. That's something a basic multi-linear optimizer could have accomplished.
Re: Safety-first AI for autonomous data centre cooling and industrial control
#4Re: Safety-first AI for autonomous data centre cooling and industrial control
#5This effort, while seemingly benign, seems to be making my argument more difficult to make - and I actually think this is a major step. They threw the Human Override in there at the end as a hedge, but the writing is on the wall.
I am a huge advocate for AI running the world, and don't fall into the AI fear mongering camp, but as someone who has been building and implementing ML systems for the past few years and working on AI problems for about a decade now, I don't have a ton of confidence in our ML systems to be able to autonomously control physical systems just yet.
And just to reiterate, DeepMind is explicitly trying to create General Artificial Intelligence.
Re: Safety-first AI for autonomous data centre cooling and industrial control
#6I ask because I've implemented systems that allowed operators of large networks to do exponentially more work, and therefore grow the network while keeping operators down. It essentially reacted automatically to random outages, tracking their status and carefully bringing things back up when possible. Then the system went down, and we started repairing the system under the knowledge that we had to call up everyone extra to do the (very tedious) work that this system did. And for those of use repairing the system we were working against the clock: we knew we had about 2 hours before we'd start missing contractual obligations to customers, and about 2 days before we were likely to experience serious degradation in network performance and bandwidth, and this couldn't be fixed, as in it would happen regardless of any realistic amount of human effort invested in manually doing this.
We fixed it (in about 1h15m) but I'd be lying if I said the patch was properly tested when we set it live.
The scary thing is, this happened ~8 years ago, and now we've pretty much had a "full turnaround" in the "manual" team: only 2 (out of ~80) have ever manually taken care of these actions. If it were to fail now, and those 2 are on vacation ... hell it's been working so well I wonder if they'd even notice before it's too late.
So what happens to the DCs when the AI disconnects somehow from the equipment ? Shutdown ?
Re: Safety-first AI for autonomous data centre cooling and industrial control
#7> It was amazing to see the AI learn to take advantage of winter conditions and produce colder than normal water, which reduces the energy required for cooling within the data centre. Sorry, what? It must be more complex than that. That's something a basic multi-linear optimizer could have accomplished.
Re: Safety-first AI for autonomous data centre cooling and industrial control
#8This explanation ignores the risk that is posed by sudden absence of the AI. Given that it's a remote system this seems relevant. If, for whatever reason, the AI decides to call it quits, or the network in between disconnects, what happens ? I ask because I've implemented systems that allowed operators of large networks to do exponentially more work, and therefore grow the network while keeping operators down. It ess…
I guess the solution is to simulate faults everywhere at all times in production. Something most systems definitely ignore. Fault tolerance is just too different from "normal" way of writing software, it can't be done well without paradigm shift.
Re: Safety-first AI for autonomous data centre cooling and industrial control
#9> It was amazing to see the AI learn to take advantage of winter conditions and produce colder than normal water, which reduces the energy required for cooling within the data centre. Sorry, what? It must be more complex than that. That's something a basic multi-linear optimizer could have accomplished.
Re: Safety-first AI for autonomous data centre cooling and industrial control
#10This explanation ignores the risk that is posed by sudden absence of the AI. Given that it's a remote system this seems relevant. If, for whatever reason, the AI decides to call it quits, or the network in between disconnects, what happens ? I ask because I've implemented systems that allowed operators of large networks to do exponentially more work, and therefore grow the network while keeping operators down. It ess…