AI Convo Cast

In this episode, we cover Alphabet's massive $4.75 billion acquisition of clean energy developer Intersect, Anthropic's new Chrome extension bringing Claude directly into your browser, and OpenAI's customizable personality dial for ChatGPT. Alphabet's Intersect acquisition addresses the growing power demands of AI data centers with roughly ten gigawatts of renewable energy capacity by 2028. Anthropic's Claude Chrome extension positions the AI assistant where users already work, while OpenAI's ChatGPT personality feature lets users fine-tune tone and warmth across web and mobile. We break down what these moves mean for AI infrastructure, browser-based AI tools, and the future of personalized AI interactions.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 Alphabet, Google, Anthropic, OpenAI, Intersect, or any other entities mentioned unless explicitly stated. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or legal advice. Affiliate links are included to help support the podcast at no additional cost to you.

In this episode, we explore Microsoft's new Model Context Protocol bringing system-wide AI agents to Windows 11, the FBI's expanded use of AI in federal investigations, and Google making Gemini 3 Flash the default model in its consumer apps. Microsoft's MCP framework enables AI assistants like Copilot to securely interact with apps and services across Windows through natural language commands, with File Explorer, Settings, and Copilot all receiving agent hooks for cross-app workflows. We also examine the FBI's confirmation that AI tools for video analysis, speech-to-text, and vehicle recognition are now key components of their investigative operations. Finally, we break down Google's decision to roll out Gemini 3 Flash as the default Gemini experience, prioritizing speed and efficiency while maintaining strong reasoning capabilities for everyday AI usage.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 Microsoft, Google, the FBI, or any other entities mentioned unless explicitly stated. 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. Some links included are affiliate links, and we may earn a small commission at no additional cost to you.

In this episode, we cover Gainsight's acquisition of UpdateAI, OpenAI's ongoing safety refinements to GPT 5.2, and Google DeepMind's latest stability update for Gemini 3. Gainsight brings AI-native customer intelligence to enterprise customer success teams by acquiring UpdateAI, which uses AI agents to analyze meetings and customer signals automatically. OpenAI confirms it is actively tuning GPT 5.2 and GPT 5.2 Pro after launch, focusing on reasoning depth and reducing hallucinations as usage scales across regions. Google DeepMind pushes a backend update to Gemini 3 Pro and Gemini 3 Deep Think, improving latency and tool-calling reliability across Google Workspace and the Gemini app.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 Gainsight, UpdateAI, OpenAI, Google DeepMind, or any other entities mentioned unless explicitly stated. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or legal advice. Some links in this description are affiliate links, and we may receive a small commission at no extra cost to you if you make a purchase through them.

In this episode, we explore Meta's new AI models codenamed Mango and Avocado, OpenAI and Anthropic's underage user detection systems, and Google's proactive AI agent called CC. Meta is developing Mango for image and video generation alongside Avocado, a next generation large language model focused on text and coding tasks, with both AI models expected to launch in the first half of 2026. We also examine how OpenAI and Anthropic are implementing new AI safety measures to detect underage users, including OpenAI's age prediction model and Anthropic's conversational clue detection for Claude. Finally, we cover Google's CC agent, a personal briefing AI that proactively pulls from Gmail, Calendar, and Docs to draft emails and surface tasks before you ask.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, OpenAI, Anthropic, Google, or any other entities mentioned unless explicitly stated. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or legal advice. Affiliate links included may provide compensation to the podcast at no additional cost to you.

In this episode, we cover Google's official launch of Gemini 3 Flash, the latest AI model bringing significant improvements in reasoning capabilities, multimodal processing, and response latency across Google Search, the Gemini app, and developer tools like Vertex AI. We also discuss Sergey Brin's surprising warning about using Gemini Live while driving, where the Google cofounder candidly described the current public version as "ancient" compared to internal versions he tests during his own commutes. Finally, we explore Google's expansion of native Gemini access to iPhone and iPad users through Chrome, replacing Google Lens with a one-tap Gemini icon for page summaries and on-page analysis. These developments show Google pushing Gemini capabilities and cross-platform accessibility simultaneously.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, Google DeepMind, Apple, or any other entities mentioned unless explicitly stated. 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. Affiliate links are included to help support the podcast.

In this episode, we discuss OpenAI's new ChatGPT Images feature, Sam Altman's cryptic product tease, and Microsoft's major leadership restructuring focused on AI development. OpenAI launched ChatGPT Images on December 16th, bringing image generation and editing directly into the ChatGPT interface using natural language prompts, positioning it as a direct competitor to Google's Nano Banana model. We also explore Sam Altman's mysterious social media announcement hinting at something quote really fun end quote launching soon, sparking widespread speculation about new multimodal or agentic AI capabilities. Finally, we break down Microsoft CEO Satya Nadella's organizational overhaul, including the elevation of Judson Althoff to commercial CEO and the introduction of weekly AI accelerator sessions designed to speed up innovation and amplify technical voices across the company.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, Microsoft, Google, or any other entities mentioned unless explicitly stated. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or technical advice. Some links in this description are affiliate links, meaning we may earn a small commission at no additional cost to you if you make a purchase through them.

In this episode, we discuss OpenAI's mysterious new launch teased by Sam Altman, OpenAI's open source circuit sparsity model release, and Nvidia's Nemotron 3 family of open source AI models. We explore how circuit sparsity enables more efficient AI by activating only necessary parts of neural networks, reducing compute costs while maintaining capability. Nvidia's Nemotron 3 Nano model marks a strategic push toward transparent, open source AI development, positioning the US ecosystem as a strong alternative amid growing competition. From OpenAI's research contributions on Hugging Face to Nvidia's enterprise-focused open source strategy, we examine how openness and efficiency are becoming central themes in the evolving AI landscape.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, Nvidia, Hugging Face, or any other entities mentioned unless explicitly stated. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or technical advice. Affiliate links are included to help support the podcast at no additional cost to you.

In this episode, we cover NVIDIA's release of the Nemotron 3 open source AI models, Tesla's latest Full Self Driving software improvements, and OnePlus announcing AI-powered features for their upcoming smartphone. NVIDIA launched the Nemotron 3 family with the Nano version available now and larger variants coming in 2026, designed to handle complex tasks cost-effectively while giving developers full transparency through open source access. Tesla pushed version 14.2.1.25 of their Full Self Driving software to Early Access users, addressing speed profile issues with testers reporting impressive improvements in real-world driving conditions. OnePlus revealed their Plus Mind AI features ahead of the 15R smartphone launch, continuing the trend of bringing AI capabilities directly onto devices for faster, offline functionality. These developments show AI maturing across different domains from open source models to autonomous driving to consumer smartphones.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 NVIDIA, Tesla, OnePlus, or any other entities mentioned unless explicitly stated. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or technical advice. Affiliate links are included to help support the podcast at no additional cost to listeners. All trademarks, logos, and copyrights mentioned are the property of their respective owners.

In this episode, we discuss Accenture's massive AI training expansion with Anthropic Claude, Google's Android XR smart glasses reveal codenamed Project Aura, and TIME Magazine naming the Architects of AI as Person of the Year for 2025. Accenture is training thirty thousand employees on Claude and Claude Code for enterprise AI workflows, marking the largest AI deployment in the company's history and complementing their existing ChatGPT Enterprise training program. Google's Project Aura smart glasses feature optical see through technology with a seventy degree field of view, positioning the company for augmented reality experiences powered by AI. TIME's recognition highlights Nvidia's Jensen Huang among AI's leading architects, noting ChatGPT's eight hundred million users and the profound transformation AI has driven across industries worldwide.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 Accenture, Anthropic, Google, TIME Magazine, Nvidia, OpenAI, or any other entities mentioned unless explicitly stated. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or legal advice. Affiliate links may provide compensation to the podcast at no additional cost to you.

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.

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.

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.

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.

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.

In this episode, we discuss President Trump's announcement of a federal executive order to establish unified AI regulation across the United States, Meta's strategic acquisition of AI hardware manufacturer Limitless, and Google's latest Gemini web platform interface improvements. We explore how Trump's December 8th executive order aims to replace the current patchwork of state-level AI regulations with a single national standard, garnering support from major tech companies including OpenAI, Google, and Meta who have struggled with fragmented state-by-state compliance. We also examine Meta's acquisition of Limitless and its vision for personal AI wearable devices, plus Google's Gemini interface updates featuring a new dark theme and redesigned content organization for improved user experience.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, Google, Limitless, OpenAI, 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 financial advice. Affiliate links may generate commission for the podcast at no additional cost to you.

In this episode, we discuss OpenAI's accelerated GPT-5.2 release timeline following an internal code red declaration, Google's new Deep Think reasoning mode integrated into Gemini 3 Pro, and Mistral's launch of their Mistral 3 model family with Mixture of Experts architecture. We explore how competitive pressure is driving OpenAI to fast-track GPT-5.2's launch for December 9th, how Google's Deep Think mode uses multiple reasoning branches to tackle complex analytical tasks and reduce hallucinations, and how Mistral's open-weight models are democratizing access to frontier-level AI reasoning capabilities. From Geoffrey Hinton's assessment that Google is overtaking OpenAI to the implications of specialized reasoning modes versus one-size-fits-all models, we analyze what these rapid releases mean for the future of AI reasoning, customization, and deployment options across enterprise and edge environments.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, Mistral, 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. Affiliate link disclaimer: We may earn a commission from purchases made through our affiliate links at no additional cost to you.

In this episode, we discuss Citadel's launch of an AI assistant for equity research teams, Nvidia's announcement of server systems delivering ten times faster performance for AI inference, and Anthropic's acquisition of Bun as Claude Code reaches a one billion dollar annual revenue run rate. We explore how Citadel is using AI trained on company filings and proprietary strategies to augment analyst workflows while keeping investment decisions in human hands, Nvidia's breakthrough in mixture of experts model deployment speed, and Anthropic's strategic move to vertically integrate developer infrastructure. From AI in finance to hardware optimization and developer tooling, we examine how AI capabilities are being embedded into specialized workflows and the shift toward practical deployment challenges in the maturing AI ecosystem.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 Citadel, Nvidia, Anthropic, Bun, or any other entities mentioned unless explicitly mentioned. The content provided is for informational and entertainment purposes only and does not constitute professional, financial, or investment 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 them.

In this episode, we discuss Runway's launch of Gen 4.5 Whisper Thunder for text-to-video generation, DeepSeek's release of two new AI models claiming performance on par with leading systems, and a critical security patch from OpenAI for their Codex CLI tool. We explore how Runway Gen 4.5 advances video generation with improved motion quality and prompt adherence while maintaining the same speed and pricing as Gen 4, competing directly with Google's Veo 3. We also examine DeepSeek V3.2 and V3.2 Speciale, which reportedly match GPT performance and achieve gold medal results on competitive benchmarks, challenging the assumption that only well-funded labs can produce frontier AI models. Finally, we cover the OpenAI Codex CLI security vulnerability that allowed command injection attacks and the importance of evolving security practices as AI tools integrate deeper into developer 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 Runway, DeepSeek, OpenAI, Google, or any other entities mentioned unless explicitly mentioned. The content provided is for informational and entertainment purposes only and does not constitute professional, technical, or security advice. Some links may be affiliate links, meaning we may earn a commission at no additional cost to you if you make a purchase through them.

In this episode, we discuss OpenAI's declaration of an internal code red as Google's Gemini 3 outperforms ChatGPT on key benchmarks, forcing a strategic reset to improve personalization, speed, and reliability. We explore Google's expansion of AI-powered notification summaries across Android 16 to Samsung and other manufacturers, bringing on-device intelligence to millions more users through features like notification organization and scam detection. We also examine the controversy surrounding ad-like suggestions appearing in ChatGPT conversations, including for Pro subscribers paying $200 monthly, and what this means for OpenAI's monetization strategy as the company serves 800 million weekly users while remaining unprofitable. From competitive pressures in the AI landscape to the integration of intelligence directly into operating systems, we analyze how these developments shape the future of conversational AI and user experience.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, Salesforce, Samsung, 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. 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.

In this episode, we explore Fujitsu's groundbreaking multi-agent AI collaboration technology for secure supply chain optimization, BuzzFeed Asia's deployment of the DeeperDive AI answer engine across Southeast Asia, and Alibaba's launch of Quark AI smart glasses in China's competitive wearables market. We examine how Fujitsu's secure inter-agent gateway enables AI agents from different companies to coordinate without exposing sensitive data, how BuzzFeed is using Taboola's AI to keep readers engaged with conversational search, and how Alibaba's affordable smart glasses integrate Qwen AI for real-time translation, navigation, and shopping. From supply chain AI to AI-powered publishing tools and everyday AI wearables, these developments showcase how artificial intelligence is moving from theory into practical business applications across multiple industries.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 Fujitsu, BuzzFeed, Taboola, Alibaba, or any other entities mentioned unless explicitly mentioned. The content provided is for informational and entertainment purposes only and does not constitute professional, financial, or technical advice. Some links may be affiliate links, meaning we may earn a commission at no additional cost to you if you make a purchase through them.