Everyday AI
Daily updates on news, tools, and developments in the AI world.
Ep 757: The 7 Silent Sins of Doing AI Right: How to Spot and Overcome the Invisible AI Work Traps
In this episode Jordan Wilson outlines the "seven silent sins" that undermine even responsible AI use, focusing on how AI tools can erode cognition, foster sycophancy, and spread misinformation. He explains how chatbots’ tendency to agree with users (sycophancy) leads to AI psychosis—delusional echo chambers that can harm mental health—and how corrupted research (WAIF) infiltrates training data, turning false claims into perceived truth. Wilson offers practical fixes, such as setting blunt custom instructions that prioritize truth over helpfulness and monitoring for isolation or grandiose beliefs, to protect both personal productivity and organizational outcomes.
Ep 751: Hands on with Google’s Gemma 4: How to Use The Open Source Model Locally and Why It Matters
In this episode Jordan Wilson dives into Google DeepMind’s newly released Gemma 4 family, highlighting its 31‑billion‑parameter flagship that rivals much larger proprietary models while being free and open‑source under an Apache 2.0 license. He explains how the model’s efficient architecture lets...
Ep 748: Plugins, Microsoft’s AI Comeback and New AI Video. 7 New AI Features You Should Be Tracking
In this episode Jordan Wilson breaks down seven fresh AI updates, spotlighting the return of ChatGPT plugins now live in the Codex store, Google Gemini’s new ability to import chat histories, and Slack’s overhaul that transforms its bot into a...
Ep 747: Responsible AI Playbook: What It Means and 5 Moves to Ensure Your AI Strategy Survives (Start Here Series...
In this episode of the Everyday AI Show, host Jordan breaks down the concept of responsible AI, distinguishing it from ethical AI and outlining its five core pillars: fairness, transparency, accountability, privacy/security, and safety/reliability. He explains why responsible AI has...
Ep 743: The Future of AI? 7 New AI Features that Bring Us Closer to On-Demand AI Assistants
In this Friday Features episode, host Jordan Wilson highlights seven new AI capabilities that push us toward on‑demand AI assistants. He dives into Anthropic’s viral computer‑use tool, Google’s upgraded Lyria 3 Pro music model (now three‑minute tracks with structural control), Microsoft’s Copilot...
Ep 740: Everything Is Fake: How Your Company Can Leverage Human Expertise and Fight AI Workslop (Start Here Series Ep...
In this episode of the Everyday AI Show, host Jordan explores the emerging "everything is fake" crisis, where AI‑generated content—text, images, video, and even voice—saturates daily interactions, eroding consumer trust. He explains how generic, low‑effort AI output, dubbed "work slop,"...
Ep 736: ChatGPT Skills: How to Use The New Feature From OpenAI and The Best Use Cases
In this episode of the Everyday AI Show, host Jordan Wilson breaks down OpenAI's newly released ChatGPT Skills—a beta feature for business, enterprise, and education plans that lets teams create reusable, SOP‑like workflows inside ChatGPT. He demonstrates how to build...
Ep 732: The State of the AI Race. Who Will Win in 2026: OpenAI, Microsoft, Google Or Anthropic (Start Here...
In this episode of the Everyday AI Show, the host breaks down the competitive landscape among OpenAI, Microsoft, Google, and Anthropic as they vie for dominance in the AI market by 2026. He argues that the next winner will be...
Ep 730: Is AI Creating a Great Recession for White Collar Workers? Inside Anthropic’s Labor Report
In this episode, Jordan breaks down Anthropic’s new AI labor report, which shows that while AI hasn’t yet caused mass unemployment, a hidden threat looms for white‑collar workers. The study reveals a large “capability gap” – AI could theoretically automate...
Ep 724: Trump Bans Anthropic, OpenAI Signs Pentagon Deal, Big AI Goes Agentic and More AI News
In this episode Jordan Wilson breaks down a week of AI turbulence, highlighting OpenAI’s newly announced Pentagon contract that includes safeguards against autonomous weapons and mass surveillance, and contrasting it with President Trump’s directive to phase out Anthropic’s technology from...
EP 721: 3 New NotebookLM Updates You Can’t Miss: Editable Slides, Mobile Updates and More
In this episode Jordan dives into three major NotebookLM updates: enhanced mobile capabilities that let users edit infographics, slide decks, and generate full‑screen video overviews on their phones; a new conversational studio generation workflow that lets users iteratively chat with...
Ep 719: Google Gemini 3.1 Tops Charts, Claude Sonnet 4.6 Impresses, New OpenAI Leaks Reveal Their Massive AI Hardware Plans...
The episode covers a whirlwind of AI news, highlighting Google’s release of Gemini 3.1 Pro with a three‑tier reasoning system that pushes it to the top of benchmark charts, and Anthropic’s Claude Sonnet 4.6 impressing on similar metrics. It delves...
Ep 711: Coding with OpenAI’s New Codex App: How to Build a Simple App without Coding Experience
In this episode, Jordan Wilson walks listeners through OpenAI’s newly released Codex desktop app and the GPT‑5.3 Codex model, demonstrating how anyone can build a functional Mac app in minutes without any prior coding knowledge. He covers prompt‑engineering techniques, error...
Claude Apps: How Anthropic’s New Interactive Apps Can Up Your AI Productivity
In this episode, Jordan Wilson explores Anthropic’s new Claude Apps, interactive tools embedded within the Claude LLM that aim to streamline AI‑driven workflows. He explains the Model Context Protocol (MCP) that powers these apps, walks through enabling them, and compares...
Top AI Tools and Releases of 2025
In this episode, Jordan Wilson surveys the most impactful AI tools and model releases of 2025, explaining the selection criteria and ranking them across four tiers. He highlights breakthroughs such as Canva Visual Suite 2.0, ChatGPT's Atlas browsing and Deep...
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...
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...