The past 18 months have seen the most rapid change in human written communication ever
By. September 2024, 18% of financial consumer complaints, 24% of press releases, 15% of job postings & 14% of UN press releases showed signs of LLM writing. And the method undercounts true use.
By. September 2024, 18% of financial consumer complaints, 24% of press releases, 15% of job postings & 14% of UN press releases showed signs of LLM writing. And the method undercounts true use.
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Also, whatever I say(on GenAI), @emollick.bsky.social knows better, so trust him, not me :)
Last point : I think using LLMs with intent to hide it is really efficient. If people don't bother, it's detectable
https://chatgpt.com/share/67c337de-9818-8013-9a61-926d569a316d
2. The requirements of making the models are much greater.
https://cacm.acm.org/blogcacm/the-energy-footprint-of-humans-and-large-language-models/
here there is a better source for inference: https://epoch.ai/gradient-updates/how-much-energy-does-chatgpt-use
for inference i am afraid i do not have good sources