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Code Red: The Real Battle for the AI Stack
OpenAI just hit “Code Red” while Chinese labs ship GPT-5–tier models at a fraction of the cost. If your 2025 plan is “just pick the best model,” you might already be behind.
In this episode, Jeff and Annie break down the real battle for AI: not model leaderboard flexes, but who owns the stack that enterprises actually run on. From Amazon’s Nova family and agent infrastructure to Google’s Workspace Studio and DeepSeek’s open-weight frontier models, they map how pricing, distribution, and chips are reshaping the power dynamics. They also dive into Anthropic’s internal productivity data and a geothermal case study that shows AI uncovering opportunities humans literally couldn’t see.
In this episode, we discuss:
In this episode, Jeff and Annie break down the real battle for AI: not model leaderboard flexes, but who owns the stack that enterprises actually run on. From Amazon’s Nova family and agent infrastructure to Google’s Workspace Studio and DeepSeek’s open-weight frontier models, they map how pricing, distribution, and chips are reshaping the power dynamics. They also dive into Anthropic’s internal productivity data and a geothermal case study that shows AI uncovering opportunities humans literally couldn’t see.
In this episode, we discuss:
- How AWS, Google, and OpenAI are fighting to own the enterprise AI stack with chips, agents, and deeply embedded workflows.
- Why DeepSeek’s open-weight, 5–30X cheaper models could blow up 2025 AI budgets and shift geopolitical power.
- What Anthropic’s 50% productivity gains and geothermal exploration say about the future of knowledge work and AI-driven discovery.
- AWS re:Invent 2024 AI announcements
- Google Workspace Agent Studio launch
- OpenAI “code red” reporting
- DeepSeek V3.2 and V3.2-Speciale release
- Anthropic’s internal Claude productivity study
- Zanskar geothermal AI research
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By UpstartOpenAI just hit “Code Red” while Chinese labs ship GPT-5–tier models at a fraction of the cost. If your 2025 plan is “just pick the best model,” you might already be behind.
In this episode, Jeff and Annie break down the real battle for AI: not model leaderboard flexes, but who owns the stack that enterprises actually run on. From Amazon’s Nova family and agent infrastructure to Google’s Workspace Studio and DeepSeek’s open-weight frontier models, they map how pricing, distribution, and chips are reshaping the power dynamics. They also dive into Anthropic’s internal productivity data and a geothermal case study that shows AI uncovering opportunities humans literally couldn’t see.
In this episode, we discuss:
In this episode, Jeff and Annie break down the real battle for AI: not model leaderboard flexes, but who owns the stack that enterprises actually run on. From Amazon’s Nova family and agent infrastructure to Google’s Workspace Studio and DeepSeek’s open-weight frontier models, they map how pricing, distribution, and chips are reshaping the power dynamics. They also dive into Anthropic’s internal productivity data and a geothermal case study that shows AI uncovering opportunities humans literally couldn’t see.
In this episode, we discuss:
- How AWS, Google, and OpenAI are fighting to own the enterprise AI stack with chips, agents, and deeply embedded workflows.
- Why DeepSeek’s open-weight, 5–30X cheaper models could blow up 2025 AI budgets and shift geopolitical power.
- What Anthropic’s 50% productivity gains and geothermal exploration say about the future of knowledge work and AI-driven discovery.
- AWS re:Invent 2024 AI announcements
- Google Workspace Agent Studio launch
- OpenAI “code red” reporting
- DeepSeek V3.2 and V3.2-Speciale release
- Anthropic’s internal Claude productivity study
- Zanskar geothermal AI research