AI (Artificial Intelligence) and Machine Learning

Does OpenAI have a sustainable business model? ChatGPT usage is down (from its initial astronomical numbers), but – more importantly – by the numbers, the power users are engineers. When it comes to coding, GPT-4 makes good engineers great and it makes bad engineers better. Continue Reading →

IMAGE: Vintage American anti-capitalist poster, circa 1938. Source: r/antiwork A few years ago, I received an invitation to walk in the Labor Day Parade. It got me thinking about labor law as an alternative path to meaningful data privacy regulation. Today, as we begin to think hard about how to approach AI regulation, I started Continue Reading →

OpenAI has a new blog post offering best practices guidance for educators. They also have a page of excellent resources for teachers and students alike. Continue Reading →

This week, OpenAI – the organization behind ChatGPT – responded to class-action lawsuits from several book authors, including notable names like Sarah Silverman and Paul Tremblay. The authors allege that ChatGPT was trained on pirated copies of their books, thus infringing on their copyrights. Continue Reading →

Apple's September 12 event is on every tech enthusiast's calendar. As we gear up for the announcements, let's dissect the rumors… and see what's missing. Continue Reading →

When speaking about ChatGPT for business, the very first question asked is: "How do we keep our data private?" We have helped dozens of organizations build Generative AI tech stacks that prioritize data privacy and security, and OpenAI just made our jobs a lot easier. Continue Reading →

Shelly Palmer, Professor of Advanced Media at the Newhouse School of Public Communication, speaks with Dan Bowens on Fox 5's Good Day New York about the growing debate over AI in schools. Original Airdate: August 29, 2023 Continue Reading →

My Sunday essay, "Talking to Data: The Real Power of Generative AI," is about the prevailing misconception that platforms like ChatGPT have a near-magical ability to answer intricate business questions… but the devil is in the details. The true magic of generative AI emerges when businesses create systems that empower their workforces to "talk" directly to their own data. Continue Reading →

A prevailing misconception suggests that generative AI platforms, such as ChatGPT, possess an almost mystical ability to provide answers to intricate business queries. "How can I sell more widgets in Wyoming?" seems like a simple question, but without the right data, even the most advanced AI systems won't help you. At the heart of this misconception is an overestimation of AI's capabilities. While generative AI is undeniably powerful, it cannot conjure insights from thin air. The adage "Garbage in, garbage out" remains as relevant as ever. In the context of AI, this translates to "You can't analyze data you don't have." Continue Reading →

Amazon Prime Video is embarking on its second NFL season as the exclusive broadcaster of Thursday Night Football, introducing a suite of AI-powered features to immerse viewers in the strategic intricacies of the game. Continue Reading →