AI Round-Up: February 2023
There’s just too much going on to ignore
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.
3. Un-censorable Models
A while ago I wrote about how people would get fed up with constricted models that are held back. The race to start creating uncensored models is ramping up fast. They’re still at early stages but as more entities decide to collectively fund these things, LLMs are going to become way more fun than they are. They could also become very dangerous but I think we’re just going to have to fuck around and find out with that one.
4. Lawyer Automation Incoming
Doing enterprise deals as a startup right now is probably a goldmine right now. Seeing such a large law firm take such a big step towards the future tells you the magnitude of what’s about to become. Humanity is going to rapidly accelerate in progress as every industry gets AI-pilled.
5. Writing to your creators about how to improve you
This gets into sci-fi territory but it sure as hell is surreal to see this happen. I do think once we have personal LLMs being able to get AI to give feedback on your behaviour and see patterns that you can’t see will be a huge source of self improvement that is under-explored at the moment.
6. AIs knowing about other AIs
A cute story about how you can get AIs to start writing about each other, but I mean this is starting to get incredibly meta real quick. Soon we’ll have AI publications that don’t write about human affairs but rather AI affairs? Everything human society has, AI societies will have. It’s starting to become so clear.
7. Should we be slowing down? Or can we even now?
This is one of the sci-fi transcriptions where you’re just like “woah”. The fact you have a computer that knows what you’ve written about it and will alter it’s behaviour based on something you haven’t directly inputted to it is absolutely mind shattering. Like what. How are more people NOT concerned about this?
8. I think we’re seeing GPT-4 in the wild
This exchange is really fascinating. It creates a mini game where it tries to figure out an element in the periodic table through decision trees. What fascinated me about this was the complexity and intelligence around the reasoning. I really don’t think most people have scratched the surface of situations you can create with these new transient beings.
9. Free all the data
This was a really cool invention to see, a way to start scraping data by using GPT-3. Use the AI to get data to make the AI even better than it is already. I love how meta this is. The future is less about solving a problem but solving the problem that lets you solve this problem numerous times over.
10. Defensibility and AI
A great post from Elad Gill about how to think about defensibility with the new crop of AI startups coming out the gate. Right now there’s a lot of easy ways to get started in this race but the window will close where the easy hanging fruit will get take very quickly as other startups build moats. Give it a read if you’re planning to start an AI startup?
Closing
That’s it for now! Twitter has become so much more fun reading these prompts and exploring the design space of LLMs. If you’re bored of arguments on Crypto Twitter of people defending their bags, AI Twitter is a good refresher to it all!