TLDR

The author argues that the scenario of a global conspiracy by the rich to kill off the poor is not feasible. The author lists several reasons why this plan is unlikely to happen, including the fact that rich people are not a collective in-group and are not cooperative team players. Additionally, it is impossible to synchronize their actions perfectly, and there will be infighting, incompetence, and resource drain. The author also points out that rich people are not universally evil and some may have moral compasses and be against mass genocide. Furthermore, executing such a plan would require logistics, production, and storage of massive numbers of killer robots, which would be glaringly obvious. Governments would also have to do nothing, and it is more likely that they would develop and use the technology for their own purposes. Finally, even if the rich did succeed in killing off the poor, they would still have to share the spoils and are likely to turn on each other.

Same) Haha. Thank god for ChatGPT:

The comment is referring to two different machine learning concepts: back-propagation and meta-back-propagation, and how they can be used to modify neural networks.

Back-propagation is a supervised learning algorithm used in training artificial neural networks. It is used to modify the weights and biases of the neurons in the network so that the network can produce the desired output for a given input. The algorithm uses gradient descent to calculate the error between the predicted output and the actual output, and then adjusts the weights and biases accordingly.

Meta-back-propagation is an extension of back-propagation that is used for meta-learning, which is learning to learn. It involves modifying the neural network so that it can learn to perform novel tasks more efficiently.

The comment also mentions using evolutionary techniques to cultivate a population of models in language models trained on code. This refers to using genetic algorithms to evolve a population of neural networks, where the best-performing networks are selected and combined to create new generations of networks. This process is known as evolution through large models.

Yeah. I'm waiting for all my clients to drop me... I know they will sooner or later. My only saving grace is that, unlike them, I know English and they don't. So even if they try to interact with ChatGPT, they won't be able to get the same quality output as I am able to.

But this won't last for long...

Are you also working in a vulnerable field that will soon disappear?

>A friend of mine did work where she'd listen to a meeting, and type it out, highlight important sections, etc ... and she was pretty well paid.

I'm a copywriter by trade.

Fuuuuuuckk... i know this will happen to my field as well.

From what I noticed it simply uses the previous inputs and outputs as part of the new prompt.

I'm a copywriter and I'm getting ready by earning as much money as I can right now and integrating ai into my work flow because I'll be out of work in the next 10 years or so.

I'll be fixing up one of my apartments and will rent it out when the time comes.

This is one field that will not be taken by ai. Everyone needs a place to live.