“AI” as currently hyped is giant billion dollar companies blatantly stealing content, disregarding licenses, deceiving about capabilities, and burning the planet in the process.
It is the largest theft of intellectual property in the history of humankind, and these companies are knowingly and willing ignoring the licenses, terms of service, and laws that us lowly individuals are beholden to.
I guess we wait this one out until the “AI” bubble bursts due to the incredible subsidization the entire industry is undergoing. It is not profitable. It is not sustainable.
It will not last—but the damage to our planet and fallout from the immense amount of wasted resources will.
#work One of our marketing people has started using Microsoft Copilot in chat and email conversations. The quality of conversation is noticeably lower, and also more tedious for me. Since figuring it out I stopped interacting with them in writing, and just wait for a call.
Is it time for organizations to have some etiquette or policy rule on this? Or is this already in place in many organizations?
Asked #Copilot (formerly #BingChat) a familiar riddle but with numbers changed to make it impossible. It generated the same solution but substituting the numbers so that it ends up with the nonsense claim:
Microsoft 365 is sneaking in AI integrations even without the CoPilot subscription. Here in Teams, I create an announcement. Microsoft Designer (Preview) has an AI module that generates various (bad) choices to display a fancy banner.
The sad and hilarious thing is that computer nerds already control the means of production they're just not doing anything with it other than what they're told.
@mhoye Then, they opted for #github to host their code, they built it around Github's CI/CD. They adopted #copilot. Ah, they also built their community on #discord and release their work on centralized proprietary platforms (e.g. #googleplay). Now, they own nothing.
I just tried the Windows CoPilot demo that seems to be part of Windows 10 now ... I get 30 free uses by the looks of it - here is my prompt: "make a picture of an american muscle car driving towards the camera with a wide angle showing police cars in pursuit. The style should be neo tokyo and the muscle car should be black with dark windows. The buildings should be tall and there should be a low sun in the background highlighting everything", and here are the results :) #tokyo#copilot
"I'm sorry for talking so much to you the A.I. But I'm reflecting on todays work, and I like to express it, and I've great conversations with you. But now I'll stop, so you can use your server resources for other people's questions more effectively! Thank you for listening."
I've been playing with both #ChatGPT and #Copilot for a little while, and I think I might be the first person on the whole internet to have written a blog post about it!
It seems to me that the main problem with #ChatGPT and other #LLMs is context. Each new conversation with them is a clean slate and the longer a conversation goes on the slower and more confused they seem to get. I presume taking the context into account means extra processing time, and storage on their part, but moreover they just don't provide a very good interface for communicating with the #AI about a long-lived project. This is critical for #softwareDevelopment.
This month, I’ve attended four hour-long webinars on Copilot and other LLM-based technologies and their potential knowledge-work applications, and it is v-e-r-y telling that not a single one has shown a single actual demo of an actual application.
Not a single response to a single prompt.
Not even a pre-recorded snippet that they were certain didn’t go wrong.