Summary In today's episode, I explain how various technologies approach the challenge of watermarking AI-generated content. Here's what this means for you. You gain the ability to identify machine-made media and understand the importance of transparency. You'll also learn these concepts: how C2PA adds metadata to files, why Google uses SynthID for text and images,…
Ever notice that almost all ChatGPT images have a distinct feel to them? That same bland sans-serif font, that sort of cartoony look? It’s not because ChatGPT is bad at rendering images. It’s because the people prompting it don’t have the vocabulary to design better ones. Here’s an example: “Make an infographic style chart showing…
Summary In today's episode, I address the ecological and ethical concerns clients often raise regarding the environmental impact of generative AI. Here's what this means for you. You can confidently navigate difficult client conversations by understanding the actual resource footprint of AI and the economic drivers of its sustainability. You'll also learn these concepts: how…
Summary In today's episode, I explain the complexities of data security and privacy when using generative AI. Here's what this means for you. You can protect your sensitive information by understanding how AI companies handle your data. You'll also learn these concepts: how companies distinguish between data retention and model training, how users adjust privacy…
How patient are you with AI? One of the great hidden dangers of AI is its ability to diminish your patience. Ask ChatGPT/Claude/Gemini anything, and you get an answer immediately. Very reminiscent of the sign seen in various snarky places: Answers: Free Correct Answers: $1 If you want really great answers, be prepared to invest…
Summary In today's episode, I describe how to motivate teams to adopt AI by emphasizing results over technology. Here's what this means for you. You can win organizational support by using AI to eliminate the most tedious and painful tasks on employee to-do lists. You'll also learn these concepts: the TRIPS framework for task assessment,…
As I get ready to head to Washington DC next week to speak at the American Federation of Teachers TEACH conference, I have one critically important question for anyone using “AI detectors”: What is your acceptable rate of false accusation? By that I mean, in your own ethics and morals, what is your acceptable rate…
Summary In today's episode, I explain how the Model Context Protocol and local databases allow you to connect multiple AI models effectively. Here's what this means for you. You gain complete control over your AI reasoning and data by building a secure, local infrastructure instead of relying on third-party productivity tools. You'll also learn these…
