Everyday AI
Daily updates on news, tools, and developments in the AI world.
Who Gets Written Out of the AI Future?
The episode examines how AI systems systematically exclude marginalized groups, highlighting biases that arise from skewed training data and the perspectives of those who supervise models. It discusses concrete examples such as AI misrepresenting Black hairstyles and the dangers of unedited "AI slop," while emphasizing the need for shared responsibility, human oversight, and diverse leadership to prevent echo chambers and ensure inclusive AI. Listeners are urged to amplify underrepresented voices and rethink AI governance to create a more equitable future.
ChatGPT Ads: 9 Reasons Why Personalized Ads Are Coming to ChatGPT Soon. (Replay)
The episode breaks down why OpenAI is poised to roll out personalized ads within ChatGPT, citing its high burn rate, a strategic shift by Sam Altman, and new tools like the memory personalization engine and Atlas browser that enable data-driven...
From AI Agent Orchestrators to Deepfakes. The New Tech Order
The episode revisits the team’s bold January 2025 AI roadmap, evaluating how predictions about AI agent orchestrators, reasoning data, and deepfake threats have unfolded. Jordan Wilson highlights the rise of AI agents as a new employee class, the shift toward...
From Automation to Agents: Why Weak Data Makes AI Guess
Jordan Wilson and Ed Macosky discuss how the shift from rigid automations to LLM‑powered AI agents changes workflow reliability, noting that weak data leads agents to guess and produce poorer outcomes. They explore the benefits and pitfalls of "agentification" in...
3 AI Lies Most People Believed In 2025 (But You Shouldn’t)
In this Hot Take Tuesday episode, Jordan Wilson debunks three viral AI myths of 2025: the claim that Anthropic has overtaken OpenAI in enterprise adoption, the assertion that 95% of AI pilots fail, and the notion that half of the...
AI Agents in Your Browser: Work Cheat Code or Too Risky?
The episode explores the rise of agentic browsers—AI‑powered extensions that can automate tasks directly within the web browser—debating whether they serve as a productivity cheat code or pose significant security and compliance risks. Guest Maxime Vermeir from ABBYY highlights enterprise...
How Brands Can Prepare for the Post-Human Web
In this episode, Michael Walrath, CEO of Yext, explains how brands must adapt to a "post‑human" web where AI‑driven answer engines dominate search. He outlines strategies such as using structured data, intent‑based optimization, and granular content to ensure AI discoverability,...
Ep 651: Apple’s $1 Billion Bailout: Why Siri Needs Gemini’s AI Brains
The episode examines Apple’s decision to pay Google $1 billion for a custom Gemini model to revive Siri after a series of generative‑AI missteps, high failure rates, and talent drain. It highlights how Apple’s lagged AI strategy hurt its market cap...
Ep 649: The 7 Types of AI Agents and the 10 Top Agents for Businesses to Grow
The episode breaks down the rapidly expanding AI agent market, distinguishing true AI agents from chatbots and large language models, and outlines seven core categories of agents that businesses should know. It then highlights the top ten AI agents poised...
