AI Convo Cast

• Google's Unified Search and Workspace Studio for AI Agents

  In this episode, we explore Google's new unified conversational search experience on mobile that combines AI Overview and AI Mode, supporting text, voice, and image inputs in one continuous flow. We also dive into Google Workspace Studio, a platform for building AI agents that automate multi-step workflows across Docs, Sheets, and Gmail, enabling enterprise organizations to deploy agent-driven collaboration tools. Additionally, we examine Nvidia's innovative location verification technology for AI chips using telemetry-based tracking to ensure regulatory compliance and prevent unauthorized movement of GPU hardware across borders. From conversational search interfaces to AI agent automation and hardware security, this episode covers how AI technology is maturing across application, platform, and infrastructure layers.https://www.aiconvocast.comHelp support the podcast by using our affiliate links:Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkvDisclaimer:This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Google, Nvidia, or any other entities mentioned unless explicitly mentioned. The content provided is for informational and educational purposes only and does not constitute professional, technical, or legal advice. Affiliate links may generate commission for this podcast at no additional cost to you.

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• OpenAI's GPT-5.2 Launch, Google's Disco Browser, and Gemini Deep Research API Access

  In this episode, we discuss OpenAI's GPT-5.2 launch featuring three new model variants called Instant, Thinking, and Pro, alongside a billion-dollar Disney partnership for Sora video generation. We explore Google's experimental Disco browser powered by Gemini 3 that transforms web tabs into interactive applications, and the reimagined Gemini Deep Research tool now available to developers through API access. Learn how OpenAI's Thinking model achieved a 38% reduction in hallucinations, how Google's Disco browser enables coding without coding through natural language, and how the new Deep Research API brings Google's strongest research agent capabilities directly into third-party applications for complex multi-step tasks.https://www.aiconvocast.comHelp support the podcast by using our affiliate links:Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkvDisclaimer:This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by OpenAI, Google, Disney, 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. Some links may be affiliate links, which means we may earn a commission at no additional cost to you if you make a purchase through those links.

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• OpenAI GPT 5.2 Released with Professional Focus and 400K Token Context

  In this episode, we dive deep into OpenAI's latest GPT 5.2 release, examining its revolutionary capabilities for professional work environments. This significant update introduces three specialized variants - Instant for speed, Thinking for complex reasoning, and Pro for premium quality output - alongside a 400,000 token context window that dramatically expands document processing capabilities. We explore how GPT 5.2 elevates knowledge work with enhanced spreadsheet creation, presentations, and multi-step workflows, while also featuring improved agentic tool-calling and vision capabilities. Early benchmark results and feedback from OpenAI CEO Sam Altman and Wharton's Professor Ethan Mollick suggest this may be OpenAI's most significant upgrade to date for professional applications.https://www.aiconvocast.comHelp support the podcast by using our affiliate links:Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkvDisclaimer:This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by OpenAI or any other entities mentioned unless explicitly mentioned. The content provided is for educational and informational purposes only and does not constitute professional advice. All trademarks, logos, and copyrights mentioned are the property of their respective owners.

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• Meta's Avocado AI Monetization, Mistral's Devstral 2, and Pentagon Deploys Google Gemini

  In this episode, we discuss Meta's potential shift to charging for its next flagship AI model codenamed Avocado, marking a significant departure from the company's open source approach with Llama models. We explore Mistral's release of two powerful open source coding models called Devstral 2, which benchmark faster than Claude and GPT-4 on certain coding tasks, and the Pentagon's launch of GenAI.mil featuring Google Gemini for Government across military operations. Learn how Meta is restructuring its AI operations under Mark Zuckerberg's leadership, why Mistral's 24 billion parameter model can run locally on laptops as a true Copilot alternative, and what Google Gemini's Impact Level 5 security clearance means for AI deployment in defense applications. These developments reveal contrasting strategies as Meta moves toward monetization, Mistral champions open source accessibility, and the Pentagon embraces generative AI for operational military workflows.https://www.aiconvocast.comHelp support the podcast by using our affiliate links:Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkvDisclaimer:This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Meta, Mistral, Google, the Department of Defense, 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 generate commission to support podcast production.

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• RNJ-1 Launch, AWS Real-Time Video, and AI Coding Assistant Security Flaws

  In this episode, we discuss Essential AI Labs' launch of RNJ-1, a new open-source model from the original Transformer paper authors, AWS and Decart's breakthrough in real-time video generation using custom AI chips, and the discovery of over 30 security vulnerabilities affecting popular AI coding assistants including GitHub Copilot, Cursor, and others. We explore how RNJ-1 represents a significant advancement for open-source AI development, examine AWS's demonstration of real-time video generation using Trainium and Inferentia chips as alternatives to NVIDIA GPUs, and analyze the IDEsaster vulnerabilities that expose chained prompt injection attacks in AI-powered development tools. From agentic AI systems and autonomous coding assistants to the security implications of giving AI agents trusted access to development environments, we break down what these developments mean for developers, enterprises, and the future of AI infrastructure.https://www.aiconvocast.comHelp support the podcast by using our affiliate links:Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkvDisclaimer:This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Essential AI Labs, AWS, Decart, GitHub, Cursor, Windsurf, Claude, JetBrains, NVIDIA, or any other entities mentioned unless explicitly mentioned. The content provided is for educational and entertainment purposes only and does not constitute professional, technical, or security advice. Affiliate links may generate commission for the podcast.

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