Category: ai Episodes

Most recent episodes from podcasts in the ai category.

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Getting Shadow AI under control thumbnail

The Reasoning Show

Getting Shadow AI under control

19 Apr 2026

Shadow AI, driven by employees using unsanctioned tools, creates risks of data breaches, compliance violations, and operational chaos, demanding centralized governance, structured data management, and balanced strategies to harness AI's productivity gains while maintaining security and accountability.

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Practical AI

Open Source Self-Driving with Comma AI

16 Apr 2026

OpenPilot, an open-source self-driving system, evolves from a niche project to a GitHub leader through end-to-end imitation learning and diffusion-based simulation, contrasting with commercial systems by prioritizing innovation over scalability, while facing hardware and adaptability challenges in advancing autonomous driving.

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Is Coding a Solved Problem? thumbnail

The Reasoning Show

Is Coding a Solved Problem?

15 Apr 2026

AI is reshaping software development through automation and code generation, sparking debates on developer roles, enterprise integration challenges, cultural shifts, tool limitations, redefined technical literacy, domain expertise prioritization, trends in simplified tech stacks and freelancing, historical parallels to cloud adoption, and revised collaboration models for innovation.

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Everything 100 Episodes Revealed About AI Native Dev thumbnail

The AI Native Dev

Everything 100 Episodes Revealed About AI Native Dev

14 Apr 2026

AI in software development shifts from code-centric practices to context- and specification-driven approaches, with humans prioritizing decision-making and oversight while AI handles implementation, but challenges like non-human-readable code, alignment with team practices, and contextual accuracy remain critical.

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Understanding RAG Systems thumbnail

The Reasoning Show

Understanding RAG Systems

12 Apr 2026

Retrieval Augmented Generation (RAG) systems integrate proprietary data with AI models to enhance contextual relevance and accuracy in enterprise applications, addressing scaling challenges, unstructured data management, governance risks, and the need for dynamic, domain-specific information via vector databases like Pinecone.

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Post-Mortem of Anthropic's Claude Code Leak thumbnail

Practical AI

Post-Mortem of Anthropic's Claude Code Leak

9 Apr 2026

A 2026 leak of Anthropic's Claude codebase, via a malicious Axios package and exposed internal tools, exposed critical AI safety risks, supply chain vulnerabilities, and the outsized importance of the "agent harness" infrastructure in enabling advanced capabilities beyond model weights.

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AllStacks (temp) thumbnail

The Reasoning Show

AllStacks (temp)

8 Apr 2026

Recommended: Understand the importance of adapting to AI-driven tools

AI is reshaping software development's lifecycle through automation and innovation, while addressing challenges like data risks, unstructured data, communication gaps, governance needs, evolving roles, and the push for agile, outcome-driven practices and autonomous teams.

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How AI is Transforming Software Development thumbnail

The Reasoning Show

How AI is Transforming Software Development

8 Apr 2026

AI is rapidly transforming software development through tools like coding assistants, reshaping workflows and responsibilities, while challenging traditional metrics, demanding hybrid skills, and requiring systemic optimization amid integration complexities and evolving business models.

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Showing 21-30 of 83