Interesting article -- my take on low-code has always been less about how much initial development time the application takes to code, and more about how it can ease the long term maintenance of an application. With AI tooling it is going to be easy for companies to spin up hundreds of internal applications, but how are they accounting for the maintenance and support of those applications?
Think about the low-code platform as a place to host applications where many (not all) of the operational burdens long term maintenance are shifted to the platform so that developers don't have to spend as much time doing things like library upgrades, switching to X new framework because old framework is deprecated, etc..
My guess -- Microsoft wasn’t excited about the company structure - the for-profit portion subject to the non-profit mission. Microsoft/Altman structured the deal with OpenAI in a way that cements their access regardless of the non-profit’s wishes. Altman may not have shared those details with the board and they freaked out and fired him. They didn’t disclose to Microsoft ahead of time because they were part of the problem.
One thing I wish they had done with the much larger address space is make it easy for an individual to get their own block of IPv6 addresses. Letting enthusiasts experiment with their own address space seems like it would help with knowledge / adoption.
I use Dropshare (https://dropshare.app) for images / screenshots, may be close to what you are looking for. Point it to an S3 bucket and whenever you clip an image it puts the URL in your clipboard.
Think about the low-code platform as a place to host applications where many (not all) of the operational burdens long term maintenance are shifted to the platform so that developers don't have to spend as much time doing things like library upgrades, switching to X new framework because old framework is deprecated, etc..