He should have done more of these simple videos, instead he aimed for a bigger target... it has been two years, and still nothing.

Forever grateful for this series anyway.

Very good arxiv paper, I wish there where some updates on that.

All my notes are in latex.

Any way to use them, or do I have to go through markdown format?

What

Bad, bad architects.

They have a reason for this choice. I remember studying it at university—the professor said that when people have intimacy, there's no need for doors.

But what if you have a guest? And what if your poop stinks?

Incredibly low-IQ people.

Kindly suggest some books about RL?

I've already studied a lot of deep learning.

Please confirm if these resoruces are good, or suggest yours:

Sutton et al. - Reinforcement Learning

Kevin Patrick Murphy - Reinforcement Learning, an overview https://arxiv.org/abs/2412.05265

Sebastian Raschka (upcoming book)

...

I believe Kochenderfer et.al.'s book "Algorithms for decision making" is also about reinforcement learning and related approaches. Free PDFs are available at https://algorithmsbook.com

Scaling is not over, there's no wall.

Oriol Vinyals VP of Gemini research

https://x.com/OriolVinyalsML/status/1990854455802343680?t=oC...

He didn't say it's over, just that continued scaling won't be transformational.

Oriol Vinyals said that.

https://xcancel.com/OriolVinyalsML/status/199085445580234368...?

They can't solve the ambiguity about YOLO because the article exists only because of that inaccuracy.

I know that, I’ve used it since darknet - but for all intents it was since the platform we were using had the ultralytics version. They claim that even using their model architecture requires a license.

> The YOLO series is developed and maintained by Ultralytics.

This is totally fake. There are a lot of different YOLO versions, each with a different licence.

This article is a total scam, it should be removed.

Read the first comment. https://www.reddit.com/r/computervision/comments/1gxce90/yol...

Unless I’m missing something, the Reddit discussion seems to indicate that the only maintained versions are the ones maintained by Ultralytics. Are there other maintained versions out there?

Even if this is not the case, that doesn’t mean the article is a ”total scam”.

Yes it is a scam because it says that YOLO is ultralytics. That's the wrong point. There are hundreds of different YOLO implementations. Just search for some bookmarks or look in huggingface. Paperswithcode is dead now, hugging face built something similar.

> Yes it is a scam because it says that YOLO is ultralytics.

How does that make it a scam? You know that “scam” doesn’t mean “incorrect”, right?

> There are hundreds of different YOLO implementations. Just search for some bookmarks or look in huggingface. Paperswithcode is dead now, hugging face built something similar.

Can you be more specific? The Reddit discussion you linked to described everything else as being pretty dead. What is being actively developed?

Agreed, this article is pure misrepresentation. However, are DETRs performing better than YOLO? That's the salient question, for me.

A small percent difference means nothing at all.

Your camera will be very different from the images the models have been trained on, so you'll have to do fine tuning. So the only thing that matters is this phase.

Plus, there are models that run device, on servers etc.

DETR model have outperformed YOLO models for a while, but they have been much slower making them impractical for real time detection.