‘AI is already able to manipulate people’: Expert warns of growing AI power

Author of NEXUS: A Brief History of Information Networks from the Stone Age to AI, Yuval Noah Harari, joins Morning Joe to continue the conversation on the potential dangers of AI. Harari explains how AI is evolving from a tool into an agent capable of making decisions and manipulating human emotions, stressing the need for regulation to prevent AI’s deceptive capabilities from being abused.

How to spot deepfakes and AI-generated images

It can sometimes be difficult to spot AI-generated videos such as deepfakes, in which a person’s facial expression or speech is generated or altered. Deepfakes’ potential to misinform or disrupt democratic processes is huge, especially given we are entering an era where anyone can create them with just a simple text prompt. Andrea Hickerson at the University of Mississippi and Edward J. Delp at Purdue University in Indiana discuss the rising threat from AI-created content and what we can do about it.

How companies are using GenAI

Naveen Rao, Databricks vice president of Generative AI, joins ‘The Exchange’ to discuss generative AI as OpenAI is in talks to raise a funding round that would value the artificial intelligence startup at more than $100 billion.

Google’s AI Course for Beginners (in 10 minutes)!

In this video, we unravel the layers of AI, Machine Learning, Deep Learning, and their applications in tools like ChatGPT and Google Bard/Gemini.

We first go through how AI is a broad field of study that encompasses machine learning as a sub-field.

We then break down Machine Learning into supervised and unsupervised models, using real-world examples to illustrate their functions and differences.

We move deeper into Deep Learning: Learn about artificial neural networks and the power of semi-supervised learning in applications like fraud detection in banking.

Then we delve into Generative AI, differentiating it from discriminative models and demonstrating its capabilities in creating new, innovative outputs.

Finally, we walk through Large Language Models (LLMs) and uncover the significance of LLMs in AI, their pre-training processes, and their customization for specific industry applications.