AI (Artificial Intelligence) and Machine Learning

OpenAI, the nice people who brought you ChatGPT, has proposed the creation of an international regulatory body for AI, similar to the International Atomic Energy Agency. This comes in response to the rapid pace of AI innovation and the potential risks associated with it. Continue Reading →

I did a comparison of Google's Bard vs. ChatGPT Plus on Shelly Palmer LIVE last Wednesday. During the showdown, I demonstrated some of the most useful ChatGPT plugins. Over the weekend, I had the chance to try out about 25 of them – there is gold here! Continue Reading →

OpenAI has launched an official ChatGPT app for iOS. It's free to use, ad-free, and supports voice input. Initially available to U.S. users, the ChatGPT app allows users to ask questions, seek advice, and conduct research without a traditional web search. (Take that, Google!) The app syncs user history across devices and integrates with OpenAI's open-source speech recognition system, Whisper, for voice input. Continue Reading →

Today on Shelly Palmer LIVE (12:15 p.m. ET on YouTube Live), I'm going to demonstrate PrivateGPT: a large language model running locally on my personal computer with no internet access required. It is trained on my private data, which is secure (because it is running locally). Continue Reading →

OpenAI CEO Sam Altman is set to testify before Congress today, marking a critical juncture in the regulation discourse of AI technology. Central to this conversation is OpenAI's generative AI chatbot, ChatGPT, which has dramatically accelerated AI development, spurring giants like Microsoft and Google to hasten their AI-powered offerings. Continue Reading →

The European Parliament is advancing toward the West's first AI regulations with the "European AI Act." This new law proposes a risk-based approach to AI regulation, categorizing AI applications into four risk tiers: unacceptable, high, limited, and minimal or no risk. Continue Reading →

Anthropic's LLM, Claude, just got a substantial upgrade: its context window has been expanded from 9K tokens to an impressive 100K tokens, equating to around 75,000 words. This expansion is significant, allowing businesses to submit hundreds of pages for Claude's analysis, which enables more extended and in-depth dialogues. Continue Reading →

Google CEO Sundar Pichai had one job to do at I/O 2023: convince us that OpenAI is not going to eat Google's lunch. Did he do it? Continue Reading →

The verdict is in. Ed Sheeran's 2014 hit, "Thinking Out Loud," did not infringe on Marvin Gaye's and Ed Townsend's 1973 hit, "Let's Get It On." As I will explain in a moment, from a musical standpoint, this was the only possible outcome. The copyright laws were applied as expected, and human composers in the United States are free to compose as they have been doing for centuries. But what about AI? Is it free to compose? Let's explore. Continue Reading →

A machine learning algorithm called CEBRA is unlocking the hidden structure in neural code, with the potential to revolutionize brain-machine interfaces (BMIs). The algorithm can be used to decode what a mouse sees while watching a movie, predict primate arm movements, and reconstruct the positions of rats as they roam. The research, led by Mackenzie Mathis, EPFL’s Bertarelli Chair of Integrative Neuroscience, was published in Nature. Continue Reading →