Intelligent Machines (Audio)

Marshall Kirkpatrick, tech journalist and builder of the 'What's Up With That' AI browser extension, demos a tool that flags what is genuinely new in articles. Conversation hops between agent risks and supply-chain malware, models behind the extension and on-device compression, the LA bellwether trial over platform harms, and strategies for safer agent credentials and research augmentation.

Rumman Chowdhury, AI ethics researcher and founder of Humane Intelligence, discusses moral outsourcing, agency, and why independent oversight matters. She explores redefining intelligence beyond human-centric metrics. She argues for contextual evaluation, public red teaming, and local, privacy-preserving AI alternatives.

Guy Kawasaki, former Apple evangelist and author, shares sharp takes on Signal, privacy, and using AI as a writing and preservation tool. He discusses Signal's metadata limits and adoption hurdles. The conversation covers AI ethics, Pentagon ties, digital immortality via personal models, and practical tips for secure communication.

Dan Patterson, journalist and Blackbird.ai representative specializing in disinformation and narrative-based threats. He explains how narrative intelligence differs from social listening. He describes tools that map chatter to physical risk and guide response decisions. He outlines executive and technical products for verification and threat detection.

What happens when the creator of Stack Overflow decides he's going to take on rural poverty with a guaranteed minimum income—and bankrolls it himself? Find out why Jeff Atwood believes AI and philanthropy might matter more to the American dream than any new software ever could. Hegseth gives Anthropic CEO until Friday to back down in AI safeguards fight Musk's xAI and Pentagon reach deal to use Grok in classified systems Anthropic Accuses Chinese Companies of Siphoning Data From Claude How will OpenAI compete? — Benedict Evans My first vibe coding project! Anthropic Links AI Agent With Tools for Investment Banking, HR THE 2028 GLOBAL INTELLIGENCE CRISIS QuitGPT is going viral — 700,000 users are reportedly ditching ChatGPT for these AI rivals IBM is the latest AI casualty. Shares tank 13% on Anthropic programming language threat OpenAI's first ChatGPT gadget could be a smart speaker with a camera ChatGPT spits out surprising insight in particle physics "Clavicular was mid jestergooning when a group of Foids came and spiked his Cortisol levels 😭 Is Ignoring the Foids while munting and mogging Moids more useful then SMV chadfishing in the club?" Perplexity may have built a better OpenClaw | The Deep View Google restricting Google AI Pro/Ultra subscribers for using OpenClaw Gemini 3.1 Pro Firefox 148 Launches with AI Kill Switch Feature and More Enhancements You can now make Alexa's AI personality more friendly, blunt, or chilled out Claude Remote-Control Meta Director of AI Safety Allows AI Agent to Accidentally Delete Her Inbox OpenAI engineer's OpenClaw agent accidentally sends $450K to a Twitter rando AIs can't stop recommending nuclear strikes in war game simulations More Than Half of Teens Use Chatbots for Schoolwork, Survey Finds What's the Point of School When AI Can Do Your Homework? AI Now Helps Manage 16% of America's Apartments LLM-Generated Passwords Look Strong but Crack in Hours, Researchers Find Hacker Used Anthropic's Claude To Steal Sensitive Mexican Data - Slashdot Uber employees have an AI clone of CEO Dara Khosrowshahi — and use 'Dara AI' before talking to the big boss himself Men 'yell' at AI in ALL CAPITAL LETTERS 80% more than women It's Called the 'Fitbit for Farts'—and It's No Joke I Taught My Dog to Vibe Code Games | Caleb Leak This app alerts you when it detects Meta camera glasses nearby Famous Signatures Through History Finally got a Fujifilm! I'm addicted to NYT Crossplay Jeff's new friends How far back in time can you understand English? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeff Atwood Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security spaceship.com/twit

Emily Forlini, senior reporter at PC Magazine covering AI and consumer tech, joins to break down the week’s biggest AI moves. They discuss OpenClaw’s jump to OpenAI and the rise of agentic AI. They cover model updates like GPT‑5.3 and Sonnet, Pentagon pressure on Anthropic, voice‑cloning controversies, and AI’s role in drug discovery, legal reasoning, and journalism.

Two tech skeptics spar over whether current AI advances are unprecedented or history repeating itself. They debate AI's impact on coding, automation, and white-collar work. The conversation covers agents that build disposable apps, a TaskRabbit arbitrage stunt, and risky real-world AI failures in medicine and robotics. Big tech investments, cloud buildout, and ads in chatbots also come up.

Steve Yegge, veteran software engineer and essayist who built Gastown, outlines agent orchestration and practical tooling. He describes Gastown’s roles, debugging-as-research approach, and workflows for running many agents in parallel. They discuss safety trade-offs, model competition, and how orchestration changes developer productivity and organizational risks.

Mark Sermon, president of the Mozilla Foundation and longtime Mozilla leader, outlines Mozilla's privacy-first, open approach to AI. He discusses the State of Mozilla, a $650M plan to challenge Big Tech monoculture, trusted AI modes in Firefox, AnyLLM for developers, and a data marketplace for ethical training data. Short, sharp takes on open infrastructure and rallying partners for human-centered AI.

Join historian Thomas Haigh, an expert on the history of computing and AI, as he challenges the myth of the 'AI winter' and uncovers the strategies behind the branding of AI. Haigh explains how early failures set the stage for today’s breakthroughs and highlights the shift from symbolic AI to modern machine learning. He also critiques the concentration of AI resources within big tech firms and warns about the potential risks of hype surrounding AGI, all while weaving in insights from his book on AI history.