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While I do post crypto roundups, the stuff going on in AI land is too hard to simply ignore given I collect way too much of it in a month now. Let’s dig in!
1. Artificial Theory of Mind
Seeing LLMs actually interpret human emotions and be able to parse them correctly in a situational way is nothing short of incredible. Customer success reps could be automated with a varying degree of empathy being programmable directly in.
2. Why teach your kids when you can teach your LLMs?
Somewhat of a provocative title but I mean what happens when our jobs turn from teaching each other to teaching our AIs? You could theoretically start making apps that have 1 user and still be insanely useful. Or you could use your AI to make a tool then teach it to use the tool you got it to create. The possibilities are endless here.
<div class="tweet" data-attrs="{"url":"https://twitter.com/mathemagic1an/status/1624870248221663232","full_text":"My thoughts on ToolformernnIMO the most important paper in the past few weeks.nnarxiv.org/abs/2302.04761nnTeach an LLM to use tools, like a calculator or search engine, in a *self-supervised manner*nnInteresting hack to resolve many blind spots of current LLMsnnHere’s how 👇 ","username":"mathemagic1an","name":"Jay Hack","date":"Sun Feb 12 20:37:10 +0000 2023","photos":[{"img_url":"https://pbs.substack.com/media/FoypEmUakAA9g8z.jpg","link_url":"https://t.co/zXveKAfQDa","alt_text":null}],"quoted_tweet":{},"retweet_count":385,"like_count":2185,"expanded_url":{},"video_url":null,"belowTheFold":false}”>
IMO the most important paper in the past few weeks.
Teach an LLM to use tools, like a calculator or search engine, in a *self-supervised manner*
Interesting hack to resolve many blind spots of current LLMs
Here’s how 👇
