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Im faster than all these llm freaks. Im not convinced its faster to use llms, except maybe boilerplate (who cares).

People can just be lazy and seem productive now, they're still lazy.

We have people that now need access to hundreds of thousands in hardware to write an email. Miss me with that, im not frying my brain and becoming dependent on having access to a billionaires thinking machine.

Im also not going to fry my brain with a local think for me machine either. I want to be more valuable than the hardware I have access too.

It seems that you've not worked out how to harness the LLM as a tool to improve your qualified knowledge and abilities in a domain, and have instead focused on whether or not its a crutch for lack of knowledge or laziness.

When paired with your skill and knowledge, it is a force multiplier. You maintain control, the ability to direct, structure, strategise, and refine.

That some are using it as the entire brain does not mean that this is how everyone is using it, or how you must use it. The models can be fantastic at breaking past certain issues, surfacing qualified information, and surfacing related distributed information to help you acquire it and pick up what you need on niche topics quickly. Something as basic as copilot hooked into sharepoint can make life a lot easier when you are in a big org. Something like claude code or codex can be great at hunting down issues in an unfamiliar code base rapidly. Whether or not you outsource the thinking component is entirely up to you, but ignoring the productivity side of the tool because it can do some of the thinking is a case of focusing too hard on the negative.

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Yeah there are some tasks which it is a definite speed-up but I think overall its probably only marginally beneficial. Which is why, ~6 months into 10x productivity we aren’t seeing ai boosters shipping 5 years worth of software.
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I understand this perspective. I'll just note that as the abilities increase, the intent is to have some non -coding IC or TPM/manager literally just managing some LLMs and cutting out some software engineers. The goodness is specifically to wholly replace people who code first and foremost, at least partially. It just has to cost less tokens than the equivalent wage is the pricing goal.

And people who use LLMs to talk for them (e.g. email, slack) are deplorable. A completely disrespectful use case in my view.

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You're fighting a battle you can't win. Doesn't care what you think about those using LLMs, they will outproduce you and in corporate environments, shipping things is paramount. If I can ship 5 more things simultaneously with AI, I'm going to beat you even if you think you're creating "better" software.
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Consider this. U have a website. U have to translate to xx languages. Can u write it faster than an AI? If so how much faster can u do this?

Is it valuable to u? Is it valuable to a Chinese person? A Spaniard?

Google Translate counts as AI.

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