Topic
IBM
6 episodes
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What is IBM’s nanostack chip architecture?
IBM announced a new sub-1 nanometer nanostack chip architecture that stacks transistors vertically instead of horizontally, promising nearly double the transistor density of current 2nm chips. Cody leads skeptically: the announcement is a capability claim without shipping proof, and the fabrication challenges—wafer-to-wafer bonding precision, High NA EUV maturity, and unknown yield at volume—are enormous. Justy pushes back: the material-decoupling unlock (optimizing n-type and p-type transistors independently) is real, and for AI accelerators, the power efficiency gains directly address data-center bottlenecks. They land on a shared reading: IBM's architecture is mechanistically sound and the roadmap credible, but this is a research milestone, not a product—and the gap between lab demo and foundry-scale manufacturing is where most announcements die.
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Preparing IT for AI Agents: How MCP Shapes the Future of AI
Izzo and Boone explore MCP (Model Context Protocol) and how it's positioning IT infrastructure for AI agents, diving into the protocol's architecture, orchestration patterns, and what it means for organizations preparing their systems for autonomous AI workflows.
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Is RAG Still Needed? Choosing the Best Approach for LLMs
Izzo and Boone dive deep into the current state of RAG versus fine-tuning for LLMs, examining when retrieval-augmented generation still makes sense and when newer approaches might be better. They break down the technical trade-offs, cost implications, and real-world performance considerations that developers face when choosing between RAG, fine-tuning, and hybrid approaches.
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AI Periodic Table Explained: Mapping LLMs, RAG & AI Agent Frameworks
In this episode, we dive into the transformative power of YouTube as a platform that allows users to create, share, and consume a diverse range of content. We explore its significance in democratizing content creation and its broader societal implications.
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Multi Agent Systems Explained: How AI Agents & LLMs Work Together
In this episode, we discuss the impact of YouTube on the way we consume media and interact with content. We explore its role in democratizing content creation and the implications for creators and audiences alike.
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Ibms Open Source Granite 4 0 Nano AI Models Are Small Enough to Run Locally
In this episode, we explore IBM's Granite 4.0, a breakthrough in nano-AI models that can run locally, transforming how AI is integrated into everyday devices and applications. We discuss the implications for privacy, efficiency, and accessibility, and share real-world scenarios that highlight its potential impact on industries.