AI Convo Cast

In this episode, we discuss Anthropic's tightly controlled preview of Claude Mythos and the cybersecurity concerns surrounding its offensive capabilities, including claims it could theoretically bring down a Fortune 100 company. We also cover renewed Claude outages affecting both consumer and API users, Microsoft's retirement of the legacy Reporting Web Service for Message Trace in Microsoft 365 and the push toward Microsoft Graph API, and NVIDIA's full stack AI vision presented at HumanX 2026. From Anthropic's Project Glasswing defensive initiative and unverified benchmark claims for Claude Mythos to NVIDIA positioning AI as essential infrastructure and Microsoft embedding Security Copilot into E5 licenses, we break down what these moves mean for developers, IT admins, and enterprise buyers navigating the evolving AI landscape.

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This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Anthropic, Microsoft, NVIDIA, Google, Mayfield, or any other entities mentioned unless explicitly mentioned. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or technical advice. All trademarks, logos, and copyrights mentioned are the property of their respective owners.

In this episode, we cover Anthropic's massive infrastructure expansion with Google and Broadcom, locking in approximately 3.5 gigawatts of next-generation TPU compute capacity set to come online in 2027. We also explore Claude Mythos Preview, a new cybersecurity-focused model launching under Anthropic's Project Glasswing program with limited access for just eleven organizations. Beyond the infrastructure and model news, we break down Anthropic's billing policy change that cuts off third-party harness access for Claude Pro and Max subscribers, shifting heavy usage to a pay-as-you-go system, and the surprise round of usage credits Anthropic quietly sent to soften the transition for paying Claude users.

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Disclaimer:

This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Anthropic, Google, Broadcom, Nvidia, OpenAI, or any other entities mentioned unless explicitly mentioned. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or technical advice. All trademarks, logos, and copyrights mentioned are the property of their respective owners.

In this episode, we break down OpenAI's ambitious 13-page policy blueprint calling for robot taxes, a national public wealth fund, and a four-day workweek to address AI-driven economic disruption. We explore Sam Altman's Axios interview where he framed the proposals as a Superintelligence New Deal, positioning OpenAI as a proactive voice in shaping AI regulation and redistribution policy ahead of Congressional debate. We also dive into the wave of public reaction and skepticism that followed, from Reddit communities questioning OpenAI's motives given its nonprofit-to-profit transition to supporters who welcomed robot taxes and wealth fund proposals entering mainstream policy conversation.

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Disclaimer:

This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by OpenAI, Axios, Reddit, Fortune, or any other entities mentioned unless explicitly mentioned. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or legal advice.

In this episode, we discuss the UK government's effort to attract Anthropic following tensions between the AI lab and Washington, including the Pentagon's national security designation and a federal court injunction that reversed Anthropic's removal from government systems. We also cover OpenAI's acquisition of TBPN, a technology media network, and what it signals about controlling the AI narrative during a period of intense regulatory scrutiny. Finally, we look at Microsoft's new AI-powered features arriving in the April Windows 11 update, including Narrator image descriptions and Smart App Control improvements, as part of Microsoft's broader strategy to embed AI directly into the operating system layer.

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Disclaimer:

This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Anthropic, OpenAI, Microsoft, TBPN, or any other entities mentioned unless explicitly mentioned. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or legal advice.

In this episode, we discuss Microsoft's launch of three in-house MAI models, Google's major Gemini 3 app upgrade, and a wave of new Google AI model releases. Microsoft unveiled MAI Transcribe 1, MAI Voice 1, and MAI Image 2, all built internally without OpenAI, signaling a strategic shift toward its own AI infrastructure integrated with Azure. We also cover Google's Gemini 3 rollout across 200+ countries featuring personalized cross-app intelligence, alongside six new Google AI models including Gemma 4 and Lyria 3, plus four model deprecations. Finally, we explore Google's completed transition from legacy Assistant to Gemini across its entire Home ecosystem.

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Help support the podcast by using our affiliate links:

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Disclaimer:

This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Microsoft, OpenAI, Google, or any other entities mentioned unless explicitly mentioned. The content provided is for educational and entertainment purposes only and does not constitute professional or technical advice. All trademarks, logos, and copyrights mentioned are the property of their respective owners.

In this episode, we cover OpenAI's massive $122 billion funding round at an $852 billion valuation, signaling a likely 2026 IPO, along with China's innovative underwater AI data center now online in Shanghai. We also examine Micron's sharp stock decline despite strong AI-driven earnings and what it may signal for the broader AI hardware market. Finally, we discuss Anthropic quietly tightening Claude session limits during peak hours, highlighting the growing tension between flat-rate AI subscriptions and rising inference costs as agentic workflows and million-token context windows push resource demands higher.

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Disclaimer:

This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by OpenAI, Micron, Anthropic, SoftBank, Nvidia, Microsoft, Amazon, or any other entities mentioned unless explicitly mentioned. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or investment advice. All trademarks, logos, and copyrights mentioned are the property of their respective owners.

In this episode, we discuss Google's Gemini Drop update featuring chat history portability from ChatGPT and Claude, the escalating Anthropic Claude Mythos security leak, and OpenAI's new robotics manufacturing hub in the Bay Area. Google's Gemini memory import feature lets users migrate full conversation histories from competing AI platforms, lowering switching costs across over 200 countries. We also examine how Anthropic's unreleased Claude Mythos model and nearly 3,000 leaked internal documents are raising serious questions about frontier AI safety and operational governance. Finally, we cover OpenAI's strategic shift from Sora video generation to embodied AI and robotics, plus Google's global rollout of Search Live powered by Gemini 3.1 Flash Live bringing real-time multimodal conversational search to over 200 countries.

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Disclaimer:

This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Google, Anthropic, OpenAI, or any other entities mentioned unless explicitly mentioned. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or legal advice.

In this episode, we discuss Anthropic's expanded computer use capabilities for Claude, allowing it to directly control macOS desktops and navigate apps like a virtual coworker. We also cover Claude Code's new auto mode, which lets the AI self-approve low-risk actions during coding sessions to keep developers in flow. Then we break down GitHub's controversial policy update that will use Copilot user interactions to train AI models starting April 2026, and what opt-out options are available. Finally, we explore Google's release of Gemini 3.1 Flash Live, a voice-native AI model built for real-time conversational experiences with minimal latency. From Anthropic's push toward OS-level AI autonomy to Google's competitive move in voice AI, this episode covers the latest developments shaping how we interact with AI tools.

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Help support the podcast by using our affiliate links:

Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkv

Disclaimer:

This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Anthropic, GitHub, Microsoft, Google, or any other entities mentioned unless explicitly mentioned. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or technical advice. All trademarks, logos, and copyrights mentioned are the property of their respective owners.

In this episode, we discuss Anthropic's accidental leak of internal documents describing an unreleased AI model called Claude Mythos, including alarming cyber capability warnings found in a publicly accessible database. We also cover Google's March 2026 spam update, which rolled out in under twenty hours and targeted AI-generated thin content and manipulative SEO tactics using an upgraded SpamBrain system. Finally, we break down OpenAI's plans to merge ChatGPT, Codex, and Atlas into a single desktop superapp designed to compete with Anthropic's growing enterprise presence.

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Help support the podcast by using our affiliate links:

Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkv

Disclaimer:

This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Anthropic, Google, OpenAI, or any other entities mentioned unless explicitly mentioned. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or legal advice. Affiliate links may provide a small commission at no extra cost to you.

In this episode, we discuss the White House's new national AI legislative framework, NTT DATA's 2026 foresight report projecting massive agentic AI adoption, and OpenAI's expansion of Codex into application security. The White House framework proposes federal preemption over state-level AI laws, addresses AI energy demands, and outlines an innovation-first regulatory posture across seven legislative priorities. We also break down NTT DATA's striking projection that 40 percent of enterprise applications will embed task-specific AI agents by the end of 2026, up from less than 5 percent in 2025. Finally, we explore how OpenAI's new Codex Security agent is pushing AI-powered development into DevSecOps, autonomously scanning code for vulnerabilities alongside competitors like Anthropic's Claude Code and Cursor.

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Help support the podcast by using our affiliate links:

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Disclaimer:

This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by OpenAI, NTT DATA, Gartner, Microsoft, Google, Anthropic, Cursor, or any other entities mentioned unless explicitly mentioned. The content provided is for educational and entertainment purposes only and does not constitute professional, legal, or technical advice. All trademarks, logos, and copyrights mentioned are the property of their respective owners.