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Key insight: the proliferation of AI-written content dilutes not just the quality of content, but our trust of GitHub as well.
Same. Last week, my boss, Chief Data and Analytics Officer, dumped an AI-generated proposal (~7 pages) on how to structure semantic layer on top of our dbt models. As the Data Engineering lead, I had to read it and found a few glaring issues; left a lot of comments asking him for details where it's lacking; and proposed a few of my ideas (the path I think we should take without over complicating everything unnecessar…
Why not ask your AI to review their AI slop? It feels like a new age version of “that which can be asserted without evidence can be dismissed without evidence.” Basically, “that which can be sent without thought can be responded to without thought.”
If you want to be insulting about it, use a locally hosted "small" AI (under 6GB size on disk GGUF file, Q4 quantized or worse, so quite "stupid"), set to a high temperature value, no thinking mode, with a system prompt instructing it to fire off a rapid response in an absurdist writing style.
In my neck of the woods it's fairly common that when a person doesn't know how to help you they just don't reply, instead of saying "I don't know how to help, sorry". AI-generated responses seem like the evolution of this attitude that one must either ignore or respond in a (superficially) helpful manner.
But to be honest I was never especially invested in online social interaction to begin with. For years, Reddit and HN were basically the only social platforms I used, and lately I’ve mostly stopped using Reddit as well.
I do think we were fortunate to experience the age of innocence of the internet, but in my view, that era was already fading before LLMs arrived by the mega corps. LLMS just finish it of.
And it’s not LLMs to blame. LLMs just enabled smaller player to defile the internet the way Google FB and the others have been doing for years
I’m not sure I would be sad about that outcome.