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Welcome to your

AI Weekly Digest

presented by Louis (What's AI) Bouchard

1️⃣ How an AI Understands Videos 👀🧠

 


We’ve seen AI generate text, then generate images and most recently even generate short videos, even though they still need work. The results are incredible when you think that no one is actually involved in the creation process of these pieces and it only has to be trained once to then be used by thousands of people like stable diffusion is. Still, do these models really understand what they are doing? Do they know what the picture or video they just produced really represents? What does such a model understand when it sees such a picture or, even more complex, a video? Read more...
Watch the video

2️⃣ [Sponsor] Join Meta + OpenAI + DeepMind + Amazon at TransformX 2022 Conference on October 19th - 21st


Don’t miss your chance to hear from Jeff Wilke, Eric Schmidt, Greg Brockman, Laura Major and many more! We’re hosting 20,000+ leaders, visionaries, practitioners and researchers across various industries as we explore operationalizing AI and ML. The best part? Registration is free and you’ll get access to all recordings!
Sign up to TransformX for free

2️⃣ AI Ethics with Lauren

I tend to be strict about language use for AI, so I adopt the stance that understanding on a human level in AI cannot truly occur. This is similar to my observations about AI forever lacking knowledge due to its inability to satisfy the belief condition of the theory of knowledge. Without cognition there can be no belief, and no understanding as well.

However, our goals for AI success are often more focused on functional equivalence than actual equivalence. This pseudo-understanding is clearly improving. The way that the frames communicate and allow the model to share information between frames to create a final representation for the video is the closest thing AI has to context, which forms the basis for understanding. This is exciting because, as Louis said, it’s not just seeing the images as separate entities, it’s establishing relationships between entities to form a basis for what is going on. This is a huge step for more ethical AI because this can help make AI safer, more useful, and more beneficial in its applications.

- AI Ethics segment by Lauren Keegan

4️⃣ NVIDIA RTX 3080Ti Giveaway!
 

Once again we are giving away an NVIDIA RTX 3080Ti for the GTC event in collaboration with NVIDIA! Learn more about the giveaway and how to participate in my most recent video :)

Sign up to GTC for the giveaway and don’t forget to DM me your screenshot during the talk you decide to attend!

Learn more in my video: https://youtu.be/seb4lmVPEe8

Want to get into AI or improve your skills? Click here!
We are already at the end of this AI weekly digest! Thank you for thoroughly going through this iteration! I hope you enjoyed it. Feel free to follow my daily newsletter where I share 2 papers and news with a clear one-liner summary, and our newsletter at Towards AI, sharing the most exciting news, papers, articles, and memes weekly.

If you have suggestions, comments, or other thoughts, you can reach me by replying to this email or directly on Twitter or Linkedin. Don't hesitate to come to chat with more than 20'000 AI enthusiasts on Discord!
I hope the next week wipes away some of your stress and brings new opportunities, challenges and happiness. A happy new week from your friend!

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- Louis Bouchard
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