The Artificial Intelligence Show

AI found a 14-year-old flaw in the code behind an estimated 70% of websites, and within 12 hours of it leaking, Cloudflare saw millions of attempts to exploit it. In Episode 248, Paul Roetzer and Mike Kaput break down this AI cybersecurity crisis: what happened, why it cascaded across banks, infrastructure, and medical records, and the steps you can take now.They also cover Dario Amodei's defense of Anthropic's safety record, outside evaluators finding gaps in OpenAI's safeguards, Meta's Muse data exposure, and Anthropic's IPO filing at a valuation approaching $2 trillion, plus product and funding news in the rapid-fire round.AI-Pulse Survey: Fill out this week’s AI-Pulse Survey here.Show Notes: Access the show notes and show links hereTimestamps:00:00:00 — Intro00:05:17 — The AI Cybersecurity Crisis Is Here00:29:55 — Dario Defends Anthropic’s Safety Record00:45:50 — Outside Evaluators Find Gaps in OpenAI’s AI Safeguards00:56:57 — Marketing AI Institute’s 10-Year Anniversary01:05:28 — Meta’s Muse Agent Found to Expose User Data01:11:35 — Anthropic Releases Its Own Personal Agent01:14:59 — Inside Anthropic’s IPO01:19:29 — AI Use Case Spotlight01:32:02 — AI Product and Funding UpdatesThis episode is brought to you by AI Academy Day 2026. AI keeps changing, how do you keep your people learning at the same pace? Join Paul Roetzer, Mike Kaput, and SmarterX head of learning Jessica Miller on Thursday, November 19 at 12pm ET for a first look at the next phase of AI Academy by SmarterX. Register at SmarterX.ai/AcademyDay This episode is also brought to you by the MAICON 2026 On-Demand Bundle. Couldn’t make it to Cleveland, or want to rewatch? The MAICON 2026 On-Demand bundle gives you more than two dozen recorded main-stage and featured sessions (12+ hours) from this year’s Marketing AI Conference, ready to watch on your own schedule. Grab it at MAICON.AIVisit our websiteReceive our weekly newsletterJoin our community:Slack CommunityLinkedInTwitterInstagramFacebookYouTubeLooking for content and resources?Register for a free webinarCome to our next Marketing AI ConferenceEnroll in our AI Academy

A safety lead who authored OpenAI's model reports left and told Ezra Klein the industry can't reliably safeguard the systems it's already shipping. Paul Roetzer and Mike Kaput unpack that interview, OpenAI's fired safety researchers, and reporting that labs expect a catastrophic AI incident within a year.Then: Anthropic's new data on its own AI-run workforce, a MAICON 2026 recap, fresh interpretability research, OpenAI's contested math-proof release, Google's Gemini Argon, and micro1's $1B plan to buy how businesses actually work.AI-Pulse Survey: Fill out this week’s AI-Pulse Survey here.Show Notes: Access the show notes and show links hereTimestamps:00:00:00 — Intro00:05:48 — AI-Pulse Survey00:07:11 — OpenAI's Mounting Safety Concerns00:25:09 — The AI Expectations Gap00:47:24 — MAICON 2026 Recap01:02:51 — Introducing The AI Transformation Blueprint and AI Score01:08:48 — An Interpretability Breakthrough?01:13:17 — OpenAI's Math Reckoning01:18:31 — The Super Intelligence Rebrand01:22:21 — Google Releases Gemini Argon (and “Gemini agent”)01:26:57 — micro1 Is Buying Enterprise Data, Here's Why01:31:53 — AI Use Case Spotlight01:38:08 — AI Product and Funding UpdatesThis episode is supported by Outshift, Cisco's incubation engine for frontier technology:⁠“Scaling Out Superintelligence”⁠⁠ Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. ⁠⁠Internet of Cognition Interactive Demo⁠⁠⁠⁠ ⁠⁠Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.This episode is also brought to you by the MAICON 2026 On-Demand. Couldn’t make it to Cleveland, or want to rewatch? The MAICON 2026 On-Demand bundle gives you more than two dozen recorded main-stage and featured sessions (12+ hours) from this year’s Marketing AI Conference, ready to watch on your own schedule. Grab it at MAICON.AIVisit our websiteReceive our weekly newsletterJoin our community:Slack CommunityLinkedInTwitterInstagramFacebookYouTubeLooking for content and resources?Register for a free webinarCome to our next Marketing AI ConferenceEnroll in our AI Academy

When will we achieve AGI? Recorded live in the podcast studio at MAICON 2026, this AI Answers episode has Paul Roetzer and Mike Kaput answering questions submitted from our audience.They dig into what AGI means for everyday work, whether Claude and ChatGPT get more expensive after the IPOs, how to drive adoption when you're not the CEO, what to use now that GPTs are going away, and who owns the AI work you build at your job.00:00:00 — Intro00:04:03 What MAICON insight has challenged your thinking about where AI is headed?00:07:46 How do you keep up with AI without burning out?00:12:09 How do you go from following a demo to using AI in your own work?00:15:21 How do you get AI adopted in the messy middle of an organization?00:17:41 How do you build an AI roadmap you can stick to as models change?00:22:09 Will Claude and ChatGPT get more expensive after the IPOs?00:26:23 What can AI do versus what should AI do?00:30:35 What does AGI actually look like for a regular person?00:35:25 Can AI solve the unemployment it creates?00:39:42 Can you take your AI work with you from job to job?00:41:19 Do you have to readjust when you switch AI models at a new job?00:44:08 What should you use now that GPTs are going away?00:46:42 Closing thoughts and a look ahead to MAICON 2027This week’s episode is brought to you by MAICON, our 7th annual Marketing AI Conference, happening in Cleveland, Oct. 14-16. For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai.Show Notes: Access the show notes and show links hereVisit our websiteReceive our weekly newsletterJoin our community:Slack CommunityLinkedInTwitterInstagramFacebookYouTubeLooking for content and resources?Register for a free webinarCome to our next Marketing AI ConferenceEnroll in our AI Academy

An OpenAI safety researcher resigned and published an essay arguing the company's safety culture can't keep up with its own release pace; the same week OpenAI fired three safety researchers and canceled a model release over internal test results.Paul Roetzer and Mike Kaput also break down OpenAI's DevDay and dots, the voluntary Super Intelligence Accord signed at the White House, Anthropic's pre-Thanksgiving IPO, Google's Gemini 4 Argon preview, an FTC probe into the major labs, and a real-time AI video model that fooled nearly half its testers.AI-Pulse Survey: Fill out this week’s AI-Pulse Survey here.Show Notes: Access the show notes and show links hereTimestamps:00:00:00 — Intro00:05:19 — OpenAI DevDay and Dots00:20:04 — OpenAI’s Safety Crisis Deepens00:28:51 — Trump Signs Super Intelligence Accord00:54:19 — Anthropic Targets Pre-Thanksgiving IPO00:59:02 — Google Previews Gemini 401:02:29 — AI Companies Face New Liability Pressure01:07:07 — Anthropic and Pope Leo’s AI Encyclical01:17:39 — Startup Claims First “Human Interaction” Model01:22:47 — AI Use Case Spotlight01:28:22 — AI Product and Funding UpdatesThis episode is supported by Outshift, Cisco's incubation engine for frontier technology:⁠“Scaling Out Superintelligence”⁠⁠ Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. ⁠⁠Internet of Cognition Interactive Demo⁠⁠⁠⁠ ⁠⁠Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.Visit our websiteReceive our weekly newsletterJoin our community:Slack CommunityLinkedInTwitterInstagramFacebookYouTubeLooking for content and resources?Register for a free webinarCome to our next Marketing AI ConferenceEnroll in our AI Academy

Kuo Zhang, president of Alibaba.com, believes B2B commerce is becoming agent-to-agent. He joins Mike Kaput to explain Accio, Alibaba.com's agent platform, and how it collapses a 60-step sourcing process into hours. They cover the Model × Harness × Context formula, the Commerce Agent Bench benchmark, what had to change inside a 26-year-old company, and why the future of global trade runs on agents.Part of the AI Transformations series.Show Notes: Access the show notes and show links hereTimestamps:00:00:00 — Intro00:7:30 — Why Accio00:8:49 — Inside Alibaba.com's AI transformation with Accio Work00:15:12 — The pain points Accio was built to solve00:19:32 — Real examples of entrepreneurs using Accio Work00:24:15 — The technology powering the transformation00:28:50 — How AI agents will reshape commerce at large00:32:26 — What had to change inside the company00:37:26 — The hardest parts of shipping agent-based products00:40:47 — How Alibaba.com measures agent performanceThis week’s episode is also brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 13-15. The code POD100 saves $100 on all pass types.For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai.Visit our websiteReceive our weekly newsletterJoin our community:Slack CommunityLinkedInTwitterInstagramFacebookYouTubeLooking for content and resources?Register for a free webinarCome to our next Marketing AI ConferenceEnroll in our AI Academy