And then there's this:
> Installing Drasi in an EKS cluster can be significantly more complex than a standard installation on other platforms. Instead of downloading a CLI binary using the provided installation scripts, this approach requires modifying the source code of the Drasi CLI and building a local version of the CLI.
Is this an actual requirement or just the current easy path?
The website has a link to a simple demo and an embedded video of the demo in action.
I originally built this for something I'm working on, but figured I should make it available as an independent service that anyone can use.
The insight-generation features do incur additional costs utilizing the OpenAI API, with the same OpenAI API key you are using for the Realtime API, and you can configure how often the insights are generated and thus how many extra API calls are being made.
Any feedback is very appreciated!
How do you have so little quality control and insight into your manufacturing process that someone on your own production line can introduce a new step to your truck manufacturing process that no one noticed?
I guess when analysts said the incumbent auto manufacturers would have a large advantage over Tesla in manufacturing, this is what they meant?
Because this looks like a very unprofessional error to have made for a company that has done well up until now.
> Furthermore, simplified metrics frequently distort incentives. If graduation rates are the metric by which funding is determined, then a school might do whatever it takes to bolster them. Although some of these efforts might add value to students’ learning, it’s also possible to game the system in ways that are counterproductive to actual education.
I thought this part of the article particularly interesting. The problem is not just the access to data, but the obsession to optimize the numbers shown. The solution is to understand that: whenever a metric becomes a target, it ceases to be a good measure
Which is known as Goodhart's Law [0]. The problem with transparency and any kind of data is that you should be very careful when choosing your metrics and targets, as statistics can be deceiving. Unfortunately, this is probably too complicated to institutionalize in large groups of people who might not get the point, so ultimately a balance has to be chosen between transparency and confidentiality.In the case of medical records, I believe doctors should have the option to write two notes: One accessible to the patients and the other for medical staff, without the option of sharing it. I fear the consequences of their work being so transparent could ultimately lead to bad communication and in the worst case leading to the wrong treatment.