Thanks for the serious response, comrade. There's kind of a bit of misunderstanding about what AI is in this thread and there's just one specific point I want to pop on before I respond to the rest of your comment, because I happen to see you made it. These models aren't performing statistical analysis; They're not like looking up a table of information and calculating what they should be responding to based on a calculated weighing of options. They are performing a mathematical function that outputs a statistically likely output for the information they have been trained on. The models are basically an obscenely complex equation with variables, known as weights, which have been created through the training process. One of the big misunderstandings around AI is thinking that these models are trying to simulate thinking and so we are gauging them using human standards of intelligence. But they are not; They are trying to Emulate it. And that is a going to be a very important distinction in the future when we start giving these models bodies and have to consider if their emulated version of pain is something that needs to be regulated. And for anyone who thinks these models will never be able to be considered thinking because they're just very complex Markov chains, I invite you to spend some time volunteering with dementia patients. There's nothing quite so horrifying as having to experience your loved one tell you a story over and over and over and fucking over again all because something triggered them.

So, anyway.😅

This can break down a task or query into individual steps, which could then theoretically be offloaded to models that can do other things than language querying, but that’s a big thing to just assume we’re going to have.

Most of these AGIs, all the ones I've seen so far lately, are using a library known as LangChains which exists specifically in preparation for that.

Some applications will require not just a predetermined chain of calls to LLMs/other tools, but potentially an unknown chain that depends on the user’s input. In these types of chains, there is a “agent” which has access to a suite of tools. Depending on the user input, the agent can then decide which, if any, of these tools to call.

LangChains Tools

If we wanted to make a pizza delivery AI, we’d have to hook up body tracking equipment to pizza delivery workers and then document billions of pizza deliveries and THEN it might not even work because pizza delivery can be done to so many different places.

I personally think it's going to be a combination of VR and remote gig work. I'm not in support of it, it's just obviously where we're heading.

Einride | The world’s first Remote Operator completes her training - YouTube

Trucking veteran Tiffany Heathcott is ready to hit the road – but this time, she won’t be stepping inside a vehicle.

That’s because she’s completed training to become the world’s first Remote Operator. She will soon be monitoring and controlling Einride’s autonomous electric vehicles, remotely.

Amazon Scout

Amazon Scout is a 6 wheeled delivery robot used to deliver packages for multinational company Amazon.[1] Amazon Scout originally debuted on January 23, 2019, delivering packages to Amazon customers in Snohomish County, Washington.[2] Amazon scouts move on sidewalks, at a walking pace.[3][4] In August, 2019,[5] the robots started delivering packages to customers Irvine, California on a test basis, with human monitors.[6][7][8] The package is stored inside of the robot, and driven to the customer.[9])