Dear Fellow Scholars, this is Two Minute Papers with Dr. Károly Zsolnai-Fehér.
ChatGPT has just been supercharged with browsing support, I tried it myself too,
and I think this changes everything. Well, almost everything, as you will see in a moment. And this
is going to be an incredible journey, so hold on to your papers Fellow Scholars.
You see, normally, ChatGPT with GPT-3.5 has read a great deal of the huge body
of text in the internet, and therefore it knows a lot. It can help us with so
much. But there is a problem. What it the problem? Well, it can help us so much,
if whatever we are looking for happened before September 2021. Anything after that is a no-go.
Until today, because now we have live browsing support. Let’s see together
what this is good for! Now, perhaps the world’s best two investment experts,
Warren Buffett and Charlie Munger just held their annual meeting where they discuss investing,
the economy and more. As always, it is a treasure trove of information, however,
look. It is more than 7 hours long. So, it is time! It is time for what exactly? Well,
for asking the new ChatGPT to summarize it for us and see if it is worth the time investment!
First, it starts browsing browsing browsing,
and then. Ouch. Unfortunately, it cannot watch videos, which is understandable.
Second try, oh my goodness. It is hallucinating. Calm down, little AI,
this is not a video of a startup called Mindgrasp AI. It’s all right. Now I am wondering, does this
startup exist or did it make it up? It can tell us what it is, and I checked, it indeed exists.
Third try, sigh. It also fails. But wait a minute! This time it fails a little differently.
Look! A ray of hope! It can look up transcripts instead and summarize those. Yes please! And,
let’s see…great! They talked a lot about human nature, that is my favorite,
so I’ll definitely watch this. We could probably even ask for the appropriate time stamps if
something specific caught our eye. So, you see, it works, but sometimes it is a bit eccentric. Yes,
we have an eccentric, genius AI at our disposal. What a time to be alive!
But wait, if it can browse, it can also help us with other things. For instance,
it can visit our coding projects, have a look at our work, and even suggest improvements.
You see a ton of new code here, but it is a bit unclear what it has changed and what
it is trying to do. No matter, look! It summarizes the nature of the changes and
also tells us why it has done what it has done. That is absolutely amazing.
And if the database cutoff is not in September 2021 anymore, we can ask about things that
take place today. So, market research time! How did the US interest rates change in the
last 3 months? That is a great and concise summary, with citations. Loving it. Now,
tell me the story of interest rates in the last 10 years. We get a lot of data,
I like it, and even better, lots of additional blinking cursors for free.
Now let’s do some actual market research and ask what the economy looked like last time
the US had interest rates like this. And then, our whimsical genius is at it again.
I tried again, and then it says that interest rates looked like this last time around 2006
and 2007. And it ran out of time before it could make a table with the appropriate data,
but it kindly asks if it can try again. Of course, and,
good job little AI! Bravo! We now have some numbers to compare these two situations. Now,
I hope it goes without saying, please do not invest on this data, I just ran this
toy experiment to see a little clearer what is going on and where we are in the debt cycle.
So that was market research, and now, it is time for research research. Namely,
I would love to know if there are real scientific experiments about guitars. Now,
what experiment am I looking for? I am looking for something about tonewoods. This is something
that has been a subject of intense debate among artists who use electric guitars. You see,
manufacturers love to sell you all kinds of woods they use for the guitar body and neck
and they say it makes a great deal of difference in the sound they make. Perhaps it does. However,
we are Fellow Scholars over here, so we would like to see hard evidence of that. But for me,
no luck. I don’t quite understand why, but I never found a real paper on this topic. Until today,
because ChatGPT was able to browse its way into a proper paper that is about exactly that.
Oh my. Here is the setup of the paper, where they actually done precise measurements on
what sounds these guitars make if they are made of different kinds of woods.
And the result is. My goodness, can that really be? This seems to suggest that they
indeed make a difference at least in this particular setup. However,
we can ask our resident genius, ChatGPT to read the paper and summarize it for us.
And then, ouch. It couldn’t read the paper. But it’s almost all text and it is right over there.
Still, nothing. Alright, so let’s give it the abstract, results and discussion parts of the
paper as plain text, and ask the same question again. And, bam! There we go! The body and the
neck both seem to make a difference. But it still uses a great deal of technical jargon,
so let’s ask it to summarize it for a 10-year old. And I think the result is excellent. It
compares the body of the guitar to the body of a car and how it goes vroom. I love it. Clearly,
the comparison has its limits, but still, I am very impressed.
Also, every study has its own limitations. Let’s ask it what those are - I am very excited
to see this, so let’s see. Oh come on! Let me cultivate my addiction. So, quite a bit later,
we get this. And I have to say that this is an excellent assessment of the paper,
especially that it only read parts of it. In short, these are just two types of wood and in
laboratory conditions, and a bunch more great insights. I absolutely love this.
So this is the story of our little eccentric genius. It can summarize videos that are many
hours long, be a coding teacher, do market research, research research, and a ton more.
And I bet that just one or two more papers down the line, and it will be way faster and more
reliable. And for me - this paper refers to dozens of previous works, so I can have a glorious time
going through them and learning a ton. Thanks ChatGPT, I can’t wait! What a time to be alive!
Thanks for watching and for your generous support, and I'll see you next time!