AI scales up and out. Here’s some pieces that shows that.


While there are still prophets and pundits arguing doom and gloom regarding AI, most people and organizations have moved past them and have been adopting the technology widely. Some times that has been good, some times not. To get a sample of how it’s going, here’s a few dozen pieces on AI worth a look:

  1. The WSJ argues that you soon won’t be able to avoid AI at work or at home. It’s true, but so what?
  2. AI is being used to deal with the threat of wildfires. Good. Also good: AI allows farmers to monitor crops in real time. More good AI:  AI used to find antibodies. By the way, here’s a piece on how to turn chatgpt into a chemistry assistant.
  3. A worthwhile piece on AI lawsuits that are coming due to intellectual property rights.
  4. The New York Times has stopped Openai from crawling its site. More on that, here.
  5. Here’s the associated press AI guidelines for journalists.
  6. Students and writers, bookmark this in case you need it: what to do when you’re accused of writing with AI.
  7. Also, what can you do when AI lies about you?
  8. This is dumb: AI builds software under 7 minutes for less than a dollar.
  9. It’s not surprising hackers from lots of security holes in AI.
  10. Take this with a big grain of salt…one of the leaders from Palantir wonders if AI should be compared to atomic energy.
  11. This is bad: how facial recognition tech resulted in a false arrest.
  12. This is not good: a story on using AI to generate books and other junk here.
  13. This is different:  Microsoft Teams is pairing up with Maybelline to provide AI generated beauty filters / virtual makeup.
  14. It’s not news but it is interesting that NVIDIA is a hot company now due to AI. See more about that, here.
  15. Maybe chatgpt and other AI will just be a tool to do inefficient things efficiently.
  16. A thoughtful piece on powering generative AI and large language models with hybrid cloud with a surprise ending, from one of the senior leaders in my group at IBM.

(Photo: link to image in the NVIDIA story. By Philip Cheung for The New York Times)