Here’s another set of ten stories that I didn’t get to this week! It’s the kitchen sink for March 8, 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! I have to say that Aaron is on fire this week with his meme! See what I did there? 😀

Here is the kitchen sink for March 8, 2024 of ten stories that I didn’t get to this week, with a comment from me about each:

AI and Deepfakes Complicate Evidence in Workplace Investigations: Some good ideas for verification of evidence to determine whether it is a deepfake or not.

Researchers create AI worms that can spread from one system to another: “[A] group of researchers has created one of what they claim are the first generative AI worms—which can spread from one system to another, potentially stealing data or deploying malware in the process.” Hey, thanks for showing the hackers that it can be done! 😉

Gen AI in Law: A Lawyer Reality Check: Stephen Embry recently attended a conference of top trial lawyers (and only lawyers) and expected them to be like everybody else – “gushing over what Gen AI could do and how they were using it every day”. Instead, “most of them were genuinely frightened about using Gen AI” and many of their firms “had banned the use of Gen AI with little analysis”. Luddites are alive and well!

Microsoft Copilot’s AI Advancements Set the Stage for the Future of Work in Tech: Rob Robinson discusses Microsoft Copilot in his excellent ComplexDiscovery blog and how its introduction “across various productivity applications within Microsoft 365 marks a significant leap towards an AI-integrated future of work, enhancing not only individual productivity but also fostering greater creativity and collaboration.” Expect a lot of our future evidence in eDiscovery to be generated by Copilot and other AI productivity tools.

Anthropic claims its new AI chatbot models beat OpenAI’s GPT-4: Say hello to Claude 3, which has three models – Claude 3 Haiku, Claude 3 Sonnet and Claude 3 Opus, Opus being the most powerful. Discussion of several of the expanded capabilities and limitations – some by design – of the new models. Hat tip to Stephen’s Lighthouse.

Supreme Court Accidentally Forgets To Delete Basic Metadata In Trump Ballot Ruling: Even the highest court in the land struggles with metadata. Joe Patrice points out (via an X post) that “If you double click where it says “JJ.” at the top, then copy and paste it, that line reads: SOTOMAYOR , J., concurring in part and dissenting in part.” Hat tip to Debbie Reynolds for the heads up.

Google now wants to limit the AI-powered search spam it helped create: As ArsTechnica states in their sub-title: “Oops, we accidentally ruined the internet.” 😀 Apparently, Kenyans got mad that Google thinks that there is no African country that begins with the letter “K”. Their new update targets sites “created for search engines instead of people.” The end of SEO as we know it? We’ll see.

Microsoft argues Supreme Court’s VCR ruling should doom NYT’s OpenAI lawsuit: Microsoft reminds us that the movie industry attempted to kill the VCR in the 1980s in their attempt to urge a federal court to dismiss part of The New York Times’ copyright lawsuit against itself and OpenAI. Not surprisingly, the NYT’s attorney considers that an odd comparison.

E-Discovery By Design: An Impossible Aim, or a Growing Reality?: Should platforms that generate potentially discoverable ESI incorporate eDiscovery requirements (for preservation and collection) into their design? Yes, and Microsoft and Google already do it. Will others do it? Sure, if it benefits the bottom line.

Croissant: a metadata format for ML-ready datasets: Hungry for a metadata format for machine learning (ML) ready datasets? Google just introduced Croissant, which was developed collaboratively by a community from industry and academia, as part of the MLCommons effort. It’s already supported by three widely used collections of ML datasets and popular ML frameworks. That doesn’t sound flaky at all! 😀

Hope you enjoyed the kitchen sink for March 8, 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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