The more specific a piece of data, the less useful it is in forecasting. This is a maxim of predictive analytics. Predicting audience behaviors based on the year they were born is useful. Predicting audience behaviors based on individuals’ exact birthdays is not useful. Which is why, in OpenAI’s newest paper on hallucination in generative…
Dharmesh: Today: BYOD (Bring Your Own Device) Tomorrow: BYOA (Bring Your Own Agents) More and more people will be building their own agents to increase their personal productivity. And, they will take that “team” with them to their next job. I can also imagine a day where companies will gravitate towards hiring people that have…
AI vendors hate this. You’ll love it. There’s a good chance that 85-90% of what you want to do with generative AI, you can do in a foundation tool like ChatGPT, Gemini, Claude, DeepSeek, etc. A substantial majority of AI companies are little more than wrappers and a nice UI on top of someone else’s…
Summary In today's episode, I examine whether artificial intelligence will replace SEO and how search habits change. Here's what this means for you. You can adapt your digital presence to remain visible as users move toward generative AI tools. You'll also learn these concepts: how agentic AI triggers web searches to improve accuracy, why you…
Summary In today's episode, I explore the ethical responsibilities marketers and SEO professionals face when integrating AI into their workflows. Here's what this means for you. You can use AI tools effectively without compromising your brand's reputation or professional integrity. You'll also learn these concepts: the evolution of white hat and black hat SEO in…
Summary In today's episode, I discuss how to maintain trust as AI makes it easy for bad actors to spread fake information. Here's what this means for you. You gain practical ways to protect your brand and verify content in an increasingly deceptive digital landscape. You'll also learn these concepts: the risks of astroturfing via…
