I’m making an effort to mindfully consume content and play around with
ideas rather than mindlessly consume. This is a place to record my
summaries and reflections on the books, lectures, movies, papers, blog
posts, and general content that I am consuming. I make no promises
that these will be useful to anyone.
Youtube
I loved watching the Corridor Digital guys back when they were working with RocketJump on videos. So naturally when I saw them on my feed discussing generative AI I had to watch.
The start is fairly generic video effects guys laying out common ways of detecting generative content: incorrect placement of real locations like the Hollywood sign (and mispelled), inconsistent details, unnatural dynamic features like water, fire, and smoke, lack of true action. And above all just a general style or vibe.
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I attended a talk by Nathan Kallus
Last night we went to see Derek Thompson and Ezra Klein’s Abundance book tour.
I attended a nice lunch today with some CMU stats alumni and read an Unofficial Data Science post.
My shower thought for today revolved around dollar auctions.
I read a paper using LLMs to generate distinct lasso penalties for each covariate.
Are there spaces for DSL anymore? With AI you can do the grunt work and also if you just wrote your own it’s probably not in the training data.
I’ll take the example of my intern project at Google: Meterstick. Way back in 2016 we had the problem of having write a lot of analysis code in pandas which sucked. In particular adding slicing, comparisons, and confidence intervals to analyses were terrible.
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I listened to Derek Thompson’s podcast with Atlantic editor Yoni Appelbaum on his upcoming book Stuck: How the Priviledged and Propertied Broke the Engine of American Opportunity
I watched a Long Now talk on Neural Media