Data and AI newsletter: December 2022 edition
As this year creeps closer to its end, we hope you have some time off with your loved ones and enjoy the festive season!
But before we say the official "See you next year!" we would like to share some of the latest and most exciting news around data and AI from December 2022. Welcome to the second edition of our monthly dose of learning and exciting news!
NEWS AND INSIGHTS
The Chief Decision Scientist at Google, Cassie Kozyrkov, demystifies ChatGPT — the fascinating new application of GANs (Generative Adversarial Networks) that has been generating a lot of buzz in the AI community.
“You could ask ChatGPT what it would do if it could fly, and it might respond with something like “I would soar through the skies like a majestic eagle, feeling the wind beneath my wings and the freedom of flight.” This type of response would be impossible for a human to come up with, but it’s perfectly within the realm of possibility for ChatGPT.”
“As Google reportedly works full steam ahead on new AI products, we might get an early look at them at Google's annual developer conference, I/O, which is expected to take place in May.”
The people who develop AI are increasingly having problems explaining how it works and determining why it has the outputs it has. Deep neural networks (DNN)—made up of layers and layers of processing systems trained on human-created data to mimic the neural networks of our brains—often seem to mirror not just human intelligence but also human inexplicability.
A few months ago, the world of digital art turned upside down with the news that Jason M. Allen won a digital art contest with his work "Théâtre D'opéra Spatial." This image was generated by Midjourney, an artificial intelligence currently ranked as one of the most powerful AI art generators from text. This article aims to answer the question: How does this image generator AI work? What are their advantages and disadvantages?
INTERESTING AI STARTUPS AROUND
The US-Bulgarian company for autonomous access control that uses 3D facial authentication and AI to create safe spaces raised a $25M Series A round earlier this year. More about it learn at alcatraz.ai. Learn more about the future of Biometric Security from Vince Gaydarzhiev in The Recursive's podcast episode.
OpenAI's ChatGPT is undoubtedly clever, capable, and fun to talk to. Its multi-faceted abilities are significantly beyond many NLP researchers' and practitioners' expectations based on the impression of (not-that-strong) original GPT-3. So the natural question is how ChatGPT gets there and where these fantastic abilities come from. In this material, Yao Fu from the University of Edinburgh dissects the emergent abilities and traces them to their sources.
The Learning Interpretability Tool (LIT) is an open-source platform for visualizing and understanding NLP models.
You can simply describe a musical prompt and get a spectrogram image & sound.
P.S. Should you find your curiosity unsatiated during the holidays, check out the first edition of the Data & AI newsletter and all the included resources.
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