Here’s another set of ten stories that I didn’t get to this week! It’s the kitchen sink for March 15, 2024 – with another brand-new meme from Gates Dogfish!

Why “the kitchen sink”? Find out here! 🙂

The Kitchen Sink is even better when you can include a brand-new eDiscovery meme courtesy of Gates Dogfish, the meme channel dedicated to eDiscovery people and created by Aaron Patton of Trustpoint.One. For more great eDiscovery memes, follow Gates Dogfish on LinkedIn here! Aaron’s meme this week seems to point out how many times I keep covering generative AI stories each week. 😀

Here is the kitchen sink for March 15, 2024 of ten stories that I didn’t get to this week, with a comment from me about each:

Google says the AI-focused Pixel 8 can’t run its latest smartphone AI models: Hey, it was launched five months ago – do you really expect Google to support such an antiquated device? 😉

Hackers exploit WordPress plugin flaw to infect 3,300 sites with malware: Traditional cyberattacks still happen, and this one involves the all too common exploitation of outdated versions of a plugin used in WordPress sites. First thing I did when I read this article is make sure it didn’t affect mine.

What happens when we outsource boring but important work to AI? Research shows we forget how to do it ourselves: Reminds me of the Rodney Dangerfield joke: “My dog is so dumb, I taught him how to sit – he forgot how to stand!” 😀 Seriously, though, when we outsource cognitive tasks to technology, research shows we may lose the ability to perform those tasks ourselves. Some interesting examples here.

That Email Should Have Been a Meeting: Good article on email chains that are “longer than the career of, say, Smash Mouth”. When email chains get to be longer than seven messages, it may be time to consider a meeting to resolve the discussion more efficiently. Of course, you should document the outcomes of the meeting in an email and circulate it, which can lead to another email chain “longer than the career of, say, Smash Mouth”. 😉

OpenAI Generates a ‘Hired Gun Hacker’ Defense to the N.Y. Times Copyright Case: Ralph Losey discusses the contention by OpenAI that The New York Times used a “hired gun hacker” to exploit vulnerabilities in ChatGPT to manipulate the software into generating one-hundred fake examples of copying NYT content before filing its lawsuit against OpenAI. The most amazing part of Ralph’s report? “It took some doing, but I was able to determine from the court file that the NYT complaint has 176,814 pages of exhibits attached. You can see the reference texts to verify this count yourself.” Wow, that even beats the DR Distributors case! 😮

The flip side of generative AI: Extractive AI: Extractive AI isn’t discussed much, but it’s designed to extract key facts and figures from unstructured data like documents, reports, and even social media instead of generating new content. Now, if OpenAI can create a “ChatEPT”, maybe we’ll have a tool that lawyers can use to find actual case citations instead of the fake citations they keep finding and using.

What happens when ChatGPT tries to solve 50,000 trolley problems?: Autonomous driving startups are now experimenting with AI chatbot assistants, including one self-driving system that will use one to explain its driving decisions (hopefully not to your next of kin). Seriously, though, a side benefit of this article is the discussion of the Moral Machine experiment which everybody should check out – it is eye-opening.

Google’s Gemini AI now refuses to answer election questions: It has not been a great couple of weeks for Google AI. In addition to the issue with Pixel 8 noted above, Gemini decided to over-correct an underrepresentation of minorities in images by giving us racially diverse Nazis. Now, it’s programmed to not answer election questions, which is a good thing. Wish we could apply that to people.

The New Cold War: U.S. vs. China in the Great GenAI Race: Rob Robinson had so many great articles on ComplexDiscovery this week, I could have published a “kitchen sink” of just his articles. As the name implies, this article discusses the intensifying competition between the U.S. and China over genAI development.

Collusive Algorithms? Understanding the Antitrust Implications of Digital Consensus: And this article from Rob discusses how antitrust enforcers from the DOJ and the FTC are intensifying their scrutiny of algorithm-related collusion, including algorithmic price-fixing. Of course that’s an issue! 🙁

Hope you enjoyed the kitchen sink for March 15, 2024! Back next week with another edition!

So, what do you think? Is this useful as an end of the week wrap-up? Please share any comments you might have or if you’d like to know more about a particular topic.

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