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MSHLT Student Laura Montenegro
Introducing MSHLT student Laura Montenegro
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MSHLT Student Charlie Accurso
Introducing MSHLT student Charlie Accurso
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MSHLT Student Ashwin Raj
Introducing MSHLT student Ashwin Raj
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Who and What comprise AI Skepticism? | Eric Jackson
A re-post of a re-post? Yes, I'm sorry, but I'm going to do it anyway because I found this essay helpful (and found it because of Gary Marcus). I like the way that this essay lays out the different kinds of "AI Skeptics" there are--and I think that these are possibly not mutually-exclusive labels, a fact which I think the author of this post, Benjamin Riley , would agree with. The labels are helpful to summarize some of the nuances of the perspectives on AI that people hold, and although some of the labels denote different nuances, some of them can be held at the same time by the same person. I found it helpful to reflect on where in this taxonomy my own perspective would land. Large language models are doing 𝘴𝘰𝘮𝘦𝘵𝘩𝘪𝘯𝘨, and sometimes that something can be helpful, but if you don't already know enough about the problem you're asking it to solve, it can also lead you astray (as I've had to demonstrate for my freshman formal methods class many times this semester), and it does come with serious 𝘤𝘰𝘴𝘵𝘴. A worthwhile read! Thank you for this take on synthesizing the "AI Skeptics" field, Benjamin!
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Vector Databases Are the Wrong Abstraction | Eric Jackson
This morning, I had just finished preparing a video+code module that introduces Retrieval-Augmented Generation systems to students in my grad-level 𝘐𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘙𝘦𝘵𝘳𝘪𝘦𝘷𝘢𝘭 course. Then I saw this post, thanks to a comment by Keegan Reeve. This article includes a lot of helpful observations (and improvements to implementing a database of vector embeddings) for the IR-portion of a RAG system. I hope my students are listening! Thanks, Daniel Ruiz Riquelme for highlighting this post from Timescale!