Marcus Olang’ reflects on being told his writing sounds like ChatGPT. As a Kenyan, he reframes the comparison: ChatGPT writes like him and like many others shaped by the same educational system.

I am a writer. A writer who also happens to be Kenyan. And I have come to this thesis statement: I don’t write like ChatGPT. ChatGPT, in its strange, disembodied, globally-sourced way, writes like me. Or, more accurately, it writes like the millions of us who were pushed through a very particular educational and societal pipeline, a pipeline deliberately designed to sandpaper away ambiguity, and forge our thoughts into a very specific, very formal, and very impressive shape.

Geoffrey Litt on how he uses LLMs to code like a surgeon:

A surgeon isn’t a manager, they do the actual work! But their skills and time are highly leveraged with a support team that handles prep, secondary tasks, admin. The surgeon focuses on the important stuff they are uniquely good at.

Anil Dash on most people in the tech industry, who actually build things, share the same feelings on AI:

Technologies like LLMs have utility, but the absurd way they’ve been over-hyped, the fact they’re being forced on everyone, and the insistence on ignoring the many valid critiques about them make it very difficult to focus on legitimate uses where they might add value.

Alex Martsinovich on why it’s rude to show AI output to people:

For the longest time, writing was more expensive than reading. If you encountered a body of written text, you could be sure that at the very least, a human spent some time writing it down. The text used to have an innate proof-of-thought, a basic token of humanity.