AI, LLMs, and machine learning are set to disrupt every aspects of our lives, from the way we live to the way we consume information, and from the way we communicate to the way we evaluate truth and research. As the world experiments, innovates, and legislates in this area, we have gathered a reading list from the last month, the first in a new monthly series.


Scholarly publishing & Research


Legal & Political



  • The Associated Press sets AI guidelines for journalists: The Associated Press developed guidelines for reporters and editors on using AI. “Any result from a generative AI platform “should be treated as unvetted source material” and subject to AP’s existing sourcing standards.” (The Verge, August 16, 2023)
  • Will GPT models choke on their own exhaust? A new paper (summarized in this blog post) warns of “model collapse” where AIs will ingest more and more content created by AIs until the whole thing turns into gibberish. “LLMs are like fire – a useful tool, but one that pollutes the environment. How will we cope with it?”  (Light Blue Touchpaper, June 6, 2023)
  • How AI-generated software could turn your competitive moat into a puddle: Generative AI will dramatically speed up product and software development. A peek at what it might look like, and likely differentiators for technology providers in the future. (Mind the Product, August 3, 2023)
  • Two perspectives on how transformative LLMs will be: Ian Mulvany, CTO of The British Medical Journal writes on his blog about some of the trends he predicts will play out with large language models. (Ian Mulvany, August 15, 2023)

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