In A(i) Nutshell

Andrew Miles Davis covers one of the busiest weeks in AI news so far this year, leading with Anthropic's decision to withhold a newly built model called Mephos after determining it poses too great a security risk to release publicly, alongside the launch of Claude Opus 4.7 with improved document handling and visual processing. He also covers Seedance going live globally outside the US, LinkedIn opening its AI-powered conversational search to all users including free accounts, and Mark Zuckerberg building a photorealistic AI version of himself for staff to consult without booking a meeting. The episode rounds off with Grok continuing to generate sexualised deepfakes despite public promises to stop, a man who used AI-generated fake letters to try to shut down a London LGBTQ venue, and a shoe brand that abandoned footwear entirely to become an AI infrastructure company and saw its stock rise 580% in a week. Subscribe to In AI Nutshell for the AI news that matters to marketers, every Friday in ten minutes.

Andrew Miles Davis returns to one of his most popular recurring formats, the pet peeves episode, sharing three things that are genuinely frustrating him about generative AI right now. He starts with the algorithm trap, explaining why he has become almost afraid to click on anything on social media knowing it will flood his feed for weeks. He then calls out Claude specifically for a pattern he has noticed repeatedly where the model agrees to follow trained instructions, confirms them back, produces good outputs briefly, and then quietly reverts to doing what it wants instead. The third peeve covers AI tools refusing simple image requests with vague or inconsistent reasoning, often in the same chat where the same request was completed minutes earlier. Subscribe to In AI Nutshell for daily ten-minute episodes that tell you what AI is actually like to use, not just what it can do.

Andrew Miles Davis answers three questions submitted by attendees of his corporate training sessions, including a practical breakdown of how to explain AI tools to someone with no technical background using analogies drawn from whatever the listener already knows well. He gives a candid answer to what genuinely worries him most about the direction AI is heading, pointing not to the technology itself but to the motivations of the people building it, and explains why he continues to teach and use AI despite those concerns. He also maps out every series he runs on the podcast and reveals which formats he enjoys most and which take the most work to put together. Subscribe to In AI Nutshell for daily ten-minute episodes covering the questions real people are actually asking about AI right now.

Andrew Miles Davis covers three tools on this week's Cool Tools Tuesday, starting with PicLumen, a free AI image and video studio that has been his go-to recommendation in training sessions for months and has recently expanded well beyond its origins as the best free access point for the Flux image model. He also breaks down Google Lyria 3.0, the music generator sitting quietly inside Gemini that most users are missing entirely, and rounds off with Language Tool, a free AI grammar checker with a Chrome extension that Andrew argues now does more for free than Grammarly does. All three are either free or part of tools people are already paying for, making this a particularly practical episode for marketers watching their AI spend. Subscribe to In AI Nutshell for three new tools every Tuesday explained in plain language with honest verdicts.

Andrew Miles Davis kicks off a new series drawing on patterns he has observed across thousands of face-to-face training sessions, starting with two of the most common reasons people struggle with AI tools despite genuinely wanting to use them well. The first is an expectation problem, where people go in expecting the accuracy of a database, the creativity of a human, and the consistency of software, and then lose patience when AI delivers something messier than that. The second is a habit carried over from two decades of search engine use, treating large language models like Google by typing short queries, reading the first answer, and moving on. Andrew argues that shifting these two mindsets alone would improve most people's results overnight. Subscribe to In AI Nutshell for daily ten-minute episodes built around what actually happens when real people use AI at work.