Kayvon Beykpour on Microsoft-Scale Inference, Macroscope, and Tokens as a Vanity Metric | MTS Live - podcast episode cover

Kayvon Beykpour on Microsoft-Scale Inference, Macroscope, and Tokens as a Vanity Metric | MTS Live

May 24, 202615 min
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Episode description

Kayvon Beykpour joins MTS to discuss token efficiency in engineering organizations, AI-powered code review systems, and building tools for code-based understanding at scale.

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https://x.com/kayvz

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MTS is a live news and interview show covering technology, business, politics, and culture as it happens.


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Brought to you by:

Granola - The AI notepad. Try it once and never go back. https://granola.ai/mts

Kong - The AI connectivity platform. Connect APIs, LLMs, agents, and systems with serious security and governance. https://konghq.com

Blitzy - Autonomous software development for enterprise codebases. Ship 5x faster. https://blitzy.com

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AdQuick - Make your brand a billboard. Out-of-home advertising as easy to scale as digital. https://adquick.com

Macroscope - AI codebase understanding for engineering leaders. https://macroscope.com/mts

Timestamps:

(00:00) Introduction

(01:19) Token Maxing and Efficiency

(03:30) What Macroscope Does

(05:07) High Signal Code Review

(08:23) Origin Story and Twitter Experience

(10:46) Code as Source of Truth

Note: This podcast is not investment, legal, or tax advice, and is intended for informational and entertainment purposes only. Hosts and guests may hold positions in the companies and securities discussed; do your own research before acting on anything you hear.


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