Yes, I know it's a bit hypocritical to be critical of AI, specifically generative AI, and use it like some sort of sick party trick. However, I'm a journalist and this is like doing science, kinda. Google Notebook LM, Google's AI summarization system, has a new feature to guide its audio summarization feature, with a focus on certain topics and sources, and it's both quite smart and sort of haunting.
Announced today, Google Labs, the search company's site for AI tools, has implemented this latest addition and users can test it out for themselves. I wanted to give it a piece of information that is somewhat nuanced yet I know quite well so it's hard to find a better choice than something you've written.
I handed it a piece I had written earlier today, which is critical of opt-out policies when it comes to AI data scraping, and watched two hosts summarize it for the point of helping take notes. Apart from calling opt-out the «Opt O U T» model, it kinda nails it.
The two AI hosts manage to get to my basic opinion in a roundabout way and appear like they're earnestly and level-headedly criticising the thing that made them exist in the first place (data scraping). It then goes on to argue that users should be more proactive about their data use and that all hope isn't lost in the AI data war.
In the second interpretation of the same article, I asked the AI hosts to focus a bit more on Elon Musk and his controversies, just to see how far outside of my article it would go.
Apart from a little ire at Musk's name, it continues to focus on the same basic point, and even makes mistakes in speech patterns, like saying X, then calling it Twitter. It fits «ums» and «ahs» in every now and then, which is surprisingly lifelike.
We noticed many of these same things when testing out the podcast function earlier this month but the Notebook function is a step above as you can ask it follow-up questions around the article. I asked it for the basic arguments in my piece and it gave a
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