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People who hype IDEs usually lack technical skills. People who hype autocomplete usually lack technical skills. People who hype memory-safe languages usually

People who hype IDEs usually lack technical skills. People who hype autocomplete usually lack technical skills. People who hype memory-safe languages usually lack technical skills. People who hype compilers usually lack technical skills. There was some wordplay, which is just attacking the current technology that makes ttechnology more attainable by more people. However with LLMs, there is one major worry - in that it encourages de-skilling and getting addicted to having a LLM think for us. Now, if you can run your own LLMs, youre resilient to that. But the really bad side is when the LLM companies put pricetags to use the 'think-for-you' machine. And that represents a great de-skilling and anti-critical-thought. I'm not saying "don't use LLMs". I am saying to run them yourselves, and learn how to work with them as an interactive encyclopedia, and also not to let them have core control over intellectual thought.

yladiz 1y ago
> However with LLMs, there is one major worry - in that it encourages de-skilling and getting addicted to having a LLM think for us. Now, if you can run your own LLMs, youre resilient to that. Not sure what you mean. Using a local LLM or a cloud one can get you addicted in the same way?
- mystraline 1y ago
  Using a local LLM opens all the guarded secrets bare. For example, you can run multiple LLMs to understand each outputs. You can issue system messages (commands) to do specific actions, like ignore arbitrary moralities, or to process first and second derivative results. By running and commanding an LLM locally, you become a actual tool-user, rather than a service user at the whim of whatever the company (ChatGPT, etc) wishes.
  - fuzzzerd 1y ago
    Where do you do recommend someone start the journey of being a llm service user to a llm tool user? What kind of hardware is needed to get something useful running locally?
cjoelrun 1y ago
Useful LLM architectures for working on complex codebases seem to be out the reach of consumer hardware.
- v3ss0n 1y ago
  Just try qwen3 even at 14B you can turn off internet
win32lover 1y ago
[dead]

yladiz 1y ago

> However with LLMs, there is one major worry - in that it encourages de-skilling and getting addicted to having a LLM think for us. Now, if you can run your own LLMs, youre resilient to that. Not sure what you mean. Using a local LLM or a cloud one can get you addicted in the same way?

mystraline 1y ago
Using a local LLM opens all the guarded secrets bare. For example, you can run multiple LLMs to understand each outputs. You can issue system messages (commands) to do specific actions, like ignore arbitrary moralities, or to process first and second derivative results. By running and commanding an LLM locally, you become a actual tool-user, rather than a service user at the whim of whatever the company (ChatGPT, etc) wishes.
- fuzzzerd 1y ago
  Where do you do recommend someone start the journey of being a llm service user to a llm tool user? What kind of hardware is needed to get something useful running locally?

cjoelrun 1y ago

Useful LLM architectures for working on complex codebases seem to be out the reach of consumer hardware.

v3ss0n 1y ago
Just try qwen3 even at 14B you can turn off internet

win32lover 1y ago

[dead]