The HP EliteOne 870 G9 has a wide, heavy base which should prevent it from toppling if bumped, Bang and Olufsen sound (which filled up my test room nicely), a 12th Gen Intel processor, 256GB SSD, 8GB of memory, and an awesome 27-inch panel.
With insurance companies now abandoning areas that are likely to be at high risk, this building method will do a better job of assuring people don’t lose most or all of their belongings, family, or pets.
In addition, you can model evacuation routes. We know that if too many people are on the road at once, you get gridlock, making it difficult for anyone to escape. You must phase the evacuation to get the most people out of an area and prioritize getting out those closest to the event’s epicenter first.
We could, for instance, create unique bombers to drop self-deploying lightning rods in areas that are hard to reach to reduce the number of fires started by lightning strikes. The estimate I’ve seen suggests you’d need 400 lightning rods per square mile to do this, but you could initially just focus on areas that are difficult to reach.
Is Hawaii likely to have a high-wind event? Yes, because it’s in a hurricane path and has a history of high wind events. So, it would make sense to run simulations on wind, water, and tsunami events to determine likely ways to prevent extreme damage.
While AI could contribute here, developers haven’t yet trained it on questions like this. Maybe it should be. That way, we could ask our AI what the best path forward would be, and its answer wouldn’t rely on the vendors to which it’s tied, political talking points, or other biased sources. Instead, it would base its response on what would protect us, our loved ones, and our assets. Wouldn’t that be nice?
HP EliteOne 870 G9 27-inch All-in-One PC
Once a disaster occurs, we have the option of either moving to a safer location or rebuilding using technology that will prevent our home from being destroyed. Currently, most of us do neither and then complain about how unfair it is that we’ve had to experience that disaster again.
We usually rebuild after a disaster, but we tend to build the same types of structures that failed us before, which makes no sense. The exception was after the great San Francisco earthquake in 1906, which was the impetus for regulations to improve structures to withstand strong quakes.
The real problem is that we aren’t taking these disasters seriously enough to prevent them. We seem to treat each disaster as a unique and non-recurring event even though in areas like where I live, they are almost monthly now.
Finally, autonomous cars will eventually form a mesh network that could potentially survive a disaster. Using centralized control, they could be automatically routed out of danger areas using the fastest and safest routes determined by an AI.
Rebuilding
You could use robotic equipment and drones to place the lightning rods on trees or drop them from bombers to reduce the roughly $100-per-rod purchase and installation cost at volume.
Wrapping Up: The Real Problem
How can we improve our approach to dealing with disasters like the recent Maui fire? Let’s explore some potential solutions this week. Then we’ll close with my Product of the Week, a new all-in-one desktop PC from HP that could be perfect for anyone who wants an easy-to-set-up-and-use desktop computing solution.
Blame vs. Analysis
The opinions expressed in this article are those of the author and do not necessarily reflect the views of ECT News Network.
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My two favorite all-in-one computers were the second-generation iMac, which looked like the old Pixar lamp, and the second-generation IBM NetVista.
Other than restrictions this puts on analyzing the problem, focusing on blame often stops the process once people are indicted or fired as if the job is done. But we still must address the endemic causes of the issue. Someone who has been through this before is probably better able to prioritize action should the problem arise again. So, firing the person in charge with this experience could be counterproductive.
From how we approach a disaster to the tools we could use but are not using to prevent or reduce the impact, we could better assure ourselves that the massive damage incurred won’t happen again. Still, we continually fail to apply what we know to the problem.
In a fire area, we should rebuild houses with materials that could survive a firestorm. You can build fire-resistant homes using metal, insulation, water sprinklers, and a water source like a pool or large water tank. It would also be wise to use something like European Rolling Shutters to protect windows so that you could better shelter in place rather than having to evacuate and maybe getting caught on the road by the fire.
Generative AI, acting as a dynamic policy — one that could morph to address a wide range of disaster variants best — could provide directions as to where to focus first, help analyze the findings, and, if properly trained, recommend both an unbiased path of action and a process to assure the same thing didn’t happen again.
Metaverse Simulation