OpenAI’s ChatGPT o3 - Pushing Humanity Forward!

It’s not every week that see an incredible AI  breakthrough like this, but this is that week. So, what just happened? Scientists at OpenAI  showcased their new thinking model, o3,   and so much more. It can now think with images,   then help you learn more, and  maybe even help you land a job. And, just a year ago, these AI systems had  an IQ that was below the human average,   and now? Are you kidding me? OpenAI’s o3 has  a genius level IQ. Now I’ll note that we are   Fellow Scholars here, we are a bit skeptical of  such claims, especially that this does not come   from a peer-reviewed paper. So let’s have  a look ourselves. How does all this work? First, it is thinking with images.   Little AI, here is an image,   now tell me what is the name of the biggest ship  here and where will it go next? And now, you can   actually see the thinking process, this time with  images, and there we go. An absolute miracle. Now let’s make it tougher. Your task is  read this sign. Wait a second…my first   reaction to this was…what sign? Look, there  is a tiny sign on the building — there   is no way you can read that, right?   Well, check this out. It looks at it,   knows where to zoom in, and I am pretty sure  it is cleaning up this image automatically,   trying to find out what’s written.   And, there you go. Unbelievable. Now, here’s a picture, what movies were  filmed here? That is not something that   you can do with just an easy search, you  would need someone in the know for this. Or,   just ask o3, and two and a half  minutes later, boom, there you go. And, yes, I hear you Fellow Scholars  asking, but can it find Waldo? And the   answer is…yes. Yes it can. You may even  be able to just take a photo of a menu,   and it might find the restaurant that has  that menu. Or, just take a photo of Slash,   or some guitar hero, and ask what chord they  are playing. Hint: it’s an E. It is always   an E. An don’t forget, it can not just talk  about images, it can even mark them up. Here,   it did so with where it found some issues  with small samples of fabric. Incredible. And believe it or not, it gets better. Its memory  is getting better and better. For instance,   you can do the following: little AI, read  everything that we talked about before,   maybe years and years of data,  and now — you can ask it to tell   you what it knows about you and teach  you something that you don’t know yet. In this example, he likes scuba  diving and music. o3 knows that.   And here comes something mind-blowing. It starts  teaching him about coral larvae, underwater baby   corals if you will. And they can detect reef  sounds. They prefer the natural soundscape of   healthy reefs and if they hear them, they are  more likely to attach and grow when exposed   to them. So, crazy experiment: put loudspeakers  underwater, pipe in the sound of a healthy reef,   and there you go. They love it. So much so that  they swim toward the sound and settle there. Wow. Imagine someone knowing you so well and  teaching you this. If this would be a person,   we would say that this person  is very kind and thoughtful.    And we might say the same thing for a  machine. I think that is incredible. And now that you know about this, you can ask  again, it knows that you know this already,   and then it can teach you something new. Maybe  you are looking for a job as a research scientist,   and once again, it knows what  you know, but more importantly,   it knows what you don’t know, and will be  able to help you to prepare for an interview. But it can do more. A lot more. They showed how it  did a big bunch of tests, okay, but what do these   really mean, and which one of these matter? Well, I reckon you should look at this one.    Humanity’s Last Exam. The toughest test  for the toughest AIs out there. Questions   from smart scientists from all around the world  that no AI could answer at the time it was made. We just talked about it two videos ago, and I  am super happy to see it tested on some more.    I don’t assume that it has to do anything with  what I said but I am loving seeing this. So,   what is the result? Just a couple months ago,  8% was what the best AI could do at it. Now,   hold on to your papers Fellow Scholars, because  we are approaching 25%. 25%! That is stunning.    About 3x in just a couple of months. I  am out of words. By the end of the year,   we might get over 50-60% and that will be for  me, another breakthrough. A historic moment. Why?

Well, because we will probably have an  answer to a super important question,   and that is: Is it a bit like a  real scientist? Can it do research? Dear Fellow Scholars, this is Two Minute  Papers with Dr. Károly Zsolnai-Fehér. Well, here is an indication  of what it already can do.    You Fellow Scholars are going to love this one. It has been fed a piece of research  work that is incomplete, and now it   is asked to finish it. That is challenging  task. And…look. This is really cool. It is   showing us what it is looking at, zooming in,  it shows you the thinking process. Once again,   it thinks with images. Not just with text.   Fantastic. So what does that give us here? Well, assuming that the experiment was  carefully done, so that ChatGPT can not   just look up the calculations somewhere,  that seems to me like doing research. That   is a game changer. You know, previously,  you heard that these AI systems are nice,   but they only can work within the convex  hull of our knowledge. That means it can   do what we can do. But from this point on,  it seems that it can push us forward as well. And I said you Fellow Scholars are going  to love it. Why? Well, because here,   it is re-inventing something that  has been invented. And very soon,   I am hoping to see it invent things that  we couldn’t invent yet. Pushing humanity   forward. You know, advancing drug design,  better crops, clean energy, longevity,   these would really push humanity forward. And  I think it is coming very soon. Incredible. They also announced Codex, a coding  agent. But not only for coders. This   is pretty much for everyone. Here you  don’t even need to write a huge prompt,   you just refer to something a different  Fellow Scholar did on social media, that is,   creating beautiful ASCII character art from an  image. And it writes a real-time app that does   this with your image from your camera and in real  time. That is stunning. What a time to be alive! I would like to close with a little trick that  I just started using. And I love it. In the app,   go to your profile, personalization, customize  ChatGPT, and there, ask it for the following:  “Look for peer-reviewed sources for every  answer. Rate the credibility of that source   on a scale of 0 to 10 for every source. ” And of course, don’t forget to ask for more   emoji! Ha! You can copy this little message  in there, I put it in the description. So when you ask about the IQ of OpenAI’s o3,  it shows you results, but not just the results   but the difference between speculation and  standardized testing. When it says 8 out of 10,   I would give it more like a 5 or a 6 at most,  but that’s okay — I can just refine my system   prompt to make it a bit more strict. You can  do it too. That is The Way Of The Scholar. Note that works on any chatbot. And  now, whenever you get an answer,   you get a source you can look up, or  sometimes you might not even need to look   up all the sources because ChatGPT knows they  exist, but are not necessarily that credible. By the way, this video took a bit longer.   We are not the ones who just put out a poor   quality video super quickly to get all of those  views. No. We’re cooking it slowly. You know that   slow cooking takes time, but it is the best way  to cook. Especially for papers. More context,   more examples, more papers. Yummy.   So in the end, you get better videos,   hopefully. I am trying my best here.   Like and subscribe if you appreciate it. So, how did your Scholarly experiments  go? Let me know in the comments below.