[00:03] system free for all of us called Quen 3.8. This is the smaller brother and this is the one that will change the world the most. Millions and millions of downloads in less than a week and it feels like it can do everything. Unless
[00:19] you need Frontier Stuff, it does all you need. But look, out of thousands and thousands of free and open AI systems released each year, this might be the
[00:31] most important one. Why? Because this one is 27 billion parameters. So if you have a beefy laptop, yep, you can just run it there. Now, it gets better in
[00:43] some tests, even against a current Frontier model. It kind of holds its own and easily better than a billiondoll system from just a year ago in such a small package. How the heck is that possible? Now hold on to your papers,
[00:59] fellow scholars, because the architecture of the previous version looked like this. So let's see how 3.8 is different. Wait a second. This looks identical to me. Wow. So not because of architectural changes. Then how how the
[01:16] heck is it possible to put this density of intelligence in such a small package? What is this magic? The answer is training lots of it, but in a way that is similar to how we humans train our own muscles. Clues from the model card
[01:33] seem to point in the same direction. They first give the AI agent simpler They first give the AI agent simpler tasks and then they scale it up, then multiple tasks and more challenging tasks. An intense training regimen that
[01:48] progressively gets harder and longer. Yep, later tasks take days to complete. I think this is amazing news for all of us. You see, everyone is talking about
[02:00] the memory shortage and everything costing a fortune, and it's all true. costing a fortune, and it's all true. 100%. But it seems that if we wait a bit, we might get frontier level systems running on our laptops. And all this is
[02:15] only possible because of the power of open science and research. And look at how much it just changed the game already for AI that you can run at home.
[02:27] A message of hope for all of us. Incredible. Huge thank you for this. Once again, we all get this for free and it is lovely to see you brilliant fellow scholars tinkering with it and improving it already. I'm doing it too with you.
[02:43] Love it. What a time to be alive. I use Lambda to reproduce AI research papers often in minutes. It's also great to train your own models or fine-tune an existing one. Run inference or text to image or video. Easy peasy. Running a
[03:00] Deepseek chatbot or agent. Super fast, super reliable. Lambda gives you powerful Nvidia GPUs to run your own experiments. I test ideas from the papers I cover and moments later, results. Love it. Seriously, try it out
[03:16] results. Love it. Seriously, try it out now at lambda.ai/papers. AI/ Peepers