I'd like to imagine that it's ultimately going to work out for humanity to be in a better condition overall if that happens.

However, if there reaches a level of near or full autonomy in all aspects of knowledge work, then there is a strong possibility that the field with the highest growth potential is going to be in "Private Security"; as those who have access to the most resources seek to defend their own positions in a societal return towards aristocracy and serfdom.

Let's hope not though.

I spent some time in the military, and my expression of medics and nurses are mostly derived from that experience, where I'm referring to a nurse as just any warm body who is able to provide aid.

For professional nurses who might work in hospitals, I'm sure that many of them have significant knowledge and experience to be very effective in providing medical assistance.

So if things continue as they are today, I think in the near future, being a software developer is going to be more analogous to the medical field, where in the medical field you have different levels of professional expertise.

Some will be like nurses, and some will be closer to a medic and a smaller set will be like doctors. Each with increasingly required knowledge and experience to fulfill a needed role.

Those who used to be actual software developers are going to be (or have to become) more in the doctor role with years of internship and practical experience to be the architects guiding the overall AI implementation of software development in organizations.

The medics are going to be people who are semi-technical, where they have some technical understanding but they don't dedicate themselves to it, like say product managers, where they jump in to help development along, but don't need to have many years of experience or very deep technical knowledge.

At the nurse level, it's probably going to be similar to what people would do in the past with no code tools, where somebody in marketing who knows very little to nothing about coding at all is just going to directly converse with AI systems, but they'll never be likely to get anything more advanced than the tools they could think up for themselves.

Of course, it's so hard to tell what the next big discovery or changes to the nature of world society might push things in one direction or another.

I wanted to create an all-in-one writing studio where fiction writers can keep all the details for an entire universe in one place while crafting stories, novels, movie scripts, TV series, or stage plays.

I also wanted the ability to allow for the limited use of AI in a way that only functions as a sounding board and does not write for the user; Where fiction writers could have access to tools such as a virtual assistant that they can converse with about their stories and world-building, but without it writing anything for them.

There is also an option to use the application without any AI tools at all.

On a Nvidia 4090, it's producing:

  prompt eval time =      17.93 ms /    24 tokens (    0.75 ms per token,  1338.39 tokens per second)

         eval time =    2382.95 ms /   421 tokens (    5.66 ms per token,   176.67 tokens per second)

        total time =    2400.89 ms /   445 tokens

To run llama.cpp server: llama-server -m C:\orpheus-3b-0.1-ft-q4_k_m.gguf -c 8192 -ngl 28 --host 0.0.0.0 --port 1234 --cache-type-k q8_0 --cache-type-v q8_0 -fa --mlock

I do feel that the introduction of generative neural network models in both natural language and multi-media creation has been a tremendous boon for the advancement of AI, it just amuses me to see that which was old is new again.

What Amazon appears to have done here is use a transformers based neural network (aka LLM) to translate natural language into symbolic logic rules which are collectively used together in what could be identified as an Expert System.

Full Circle. Hilarious.

For reference to those on the younger side: The Computer Chronicles (1984) https://www.youtube.com/watch?v=_S3m0V_ZF_Q

I think eventually all digital cameras and image scanners will securely hash and sign images just as forensic cameras do to certify that an image was "captured" instead of generated.

Of course this leaves a grey area for image editing applications such as Photoshop, so there may also need to be some other level of certificate base signing introduced there as well.

It can be used with a number of local model services. Currently for my setup on a NVIDIA 4090, I'm running both the base and instruct model for deepseek-coder 6.7b using 5_K_M Quantization GGUF files (for performance) through llama.cpp "server" where the base model is for completions and the instruct model for chat interactions.

llama.cpp: https://github.com/ggerganov/llama.cpp/

deepseek-coder 6.7b base GGUF files: https://huggingface.co/TheBloke/deepseek-coder-6.7B-base-GGU...

deepseek-coder 6.7b instruct GGUF files: https://huggingface.co/TheBloke/deepseek-coder-6.7B-instruct...

#1 Advice - Focus on getting things done (as many will not) and Lego build interconnected/isolated simplicity as much as possible.

Chat History is off for this browser. When history is turned off, new chats on this browser won't appear in your history on any of your devices, be used to train our models, or stored for longer than 30 days. This setting does not sync across browsers or devices.