I would agree with you about growing costs for equipment in trendy “big science” (dark mater, hot fusion, gravity waves, accelerators), and I see this trend in military domain, like in IT in old-fashioned companies, like in nuclear industry… It is aggravated by a growing increase of regulation. It seems that some domains push providers to improves performances to the point nobody can buy the product, but it is really perfect. I’ve heard that for nuclear reactors (they can resist to anything, but nobody can afford them), for tanks (they are smart, agile, powerful, robust), for military drones (they can work in civil air zone, do any mission, transport much, but cost like a helicopter)...
Meanwhile, in IT I’ve seen the trend to RAID disks, to Cloud, to SaaS, while Ukraine war showed the efficiency of simpler drones, not so overengineered canons, old tanks and old planes, tinkered by motivated staffs...
Here I’ve caught an article about the cross-pollination of AI and new experimental methods, reducing costs by 10x.
It makes me think about the exponential learning curve drawn by piling S-curves… As if the end of an S curves goes to unaffordable perfect technology, and that a revolution make you start again the exponential phase of a new S-curve...
See how quickly African labs have used Crispr-CAS technology for their own needs, to fight emerging diseases or climate change in their agriculture. It was done for much cheaper than for transgenic GMOs.
I would agree with you about growing costs for equipment in trendy “big science” (dark mater, hot fusion, gravity waves, accelerators), and I see this trend in military domain, like in IT in old-fashioned companies, like in nuclear industry… It is aggravated by a growing increase of regulation.
It seems that some domains push providers to improves performances to the point nobody can buy the product, but it is really perfect. I’ve heard that for nuclear reactors (they can resist to anything, but nobody can afford them), for tanks (they are smart, agile, powerful, robust), for military drones (they can work in civil air zone, do any mission, transport much, but cost like a helicopter)...
Meanwhile, in IT I’ve seen the trend to RAID disks, to Cloud, to SaaS, while Ukraine war showed the efficiency of simpler drones, not so overengineered canons, old tanks and old planes, tinkered by motivated staffs...
Here I’ve caught an article about the cross-pollination of AI and new experimental methods, reducing costs by 10x.
https://www.wsj.com/articles/biologists-say-deep-learning-is-revolutionizing-pace-of-innovation-eeb79c1b
It makes me think about the exponential learning curve drawn by piling S-curves… As if the end of an S curves goes to unaffordable perfect technology, and that a revolution make you start again the exponential phase of a new S-curve...
See how quickly African labs have used Crispr-CAS technology for their own needs, to fight emerging diseases or climate change in their agriculture. It was done for much cheaper than for transgenic GMOs.