After having run a Nextcloud server for several years on a Droplet (using docker-compose), I ultimately realised that I was only using the file syncing capability, and wasn’t moving much data even then.
I think one of the things that makes science the company very special is that it has both of those cultures and is able to integrate them and we're able to simultaneously do some really cool research that I think is really at the edge of the Overton window while simultaneously running clinical trials in six countries now with an approved medical device in Europe and clinical trial results in the New England Journal of Medicine.
I think the number one success criteria was docker so remember there was mos and msosphere and they had their own runtime corp had come out with nomad and they had their own runtime but the biggest runtime that had already got global consensus was docker
They tried to take the Docker API which worked really well for one node and expand it across multiple systems and it was not the right API to scale to another type of thing that we needed. And so they kept trying. They tried to add storage. They tried to add networking but the Docker API was never meant for that.
It's also worth noting that chat isn't the only way to integrate AI in software products and increasingly agent-based applications outperform chat-only solutions. So expect things to keep changing.
One thing that I don't think a lot of people are talking about as we integrate more and more AI is that prompt injection is an extremely hard thing to defend against because it's not really clear how you defend against it.
What is different about construction is the level of coordination that takes place: whereas in a car everything is carefully designed to tightly integrate together, in housing construction the work can be done (and often is) with surprisingly little coordination between the various trades.
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