As soon as somebody tried to actually measure LLM productivity for devs, it became evident that it reduces it about 19% for experienced engineers:

https://hackaday.com/2025/07/11/measuring-the-impact-of-llms...

But you can believe any x-AI/e-acc bro (with 0 years of dev experience but dog-like obedience to their mind-influencers Musk or Sama) that suddenly became a self-proclaimed expert and have 319491% increase of productivity. It's Schrödinger's LLM gains: 1337% on X, -19% in a study.

Those are the same people that back in the day were proclaiming that NFTs, web3 and crypto were the next coming of Jesus. These are types of people who hang on every statement of Andrej Karpathi and take it as gospel, while failing to realize that's the same guy telling you self-driving cars are to be a reality in 2019. I sometimes wonder how they are not ashamed of themselves, but I realized shame requires critical thinking, and context/memory, something that is severely lacking in LLMs, but also seemingly in the LLM fanbase.

Funnily enough, these e/acc bros are the ones that do benefit the most from LLMs. That's because if you are used to offload your critical thinking to accounts on X, offloading to a fancy autocomplete instead doesn't seem to be such a big step down.

But in reality, the cold facts are that if LLMs actually helped with productivity, we'd have a noticeable impact on open source. And what do we have instead? It's either crickets or just slop, insane amount of slop.

https://www.theregister.com/2025/02/16/oss_llm_slop/

https://www.infoq.com/articles/llm-surging-pr-noise/

And AGI is juuust behind the corner, trust me.