M. Nash talks ChatGPT, Voice Agents & the Scaling Laws of AI | The Ehmad Zubair Show ft. M. Nash

Описание: In this episode of The Ehmad Zubair Show, M. Nash unpacks the big question everyone’s asking - has generative AI already reached its peak? From scaling laws and compute limits to the future of jobs and human adaptability, this conversation dives deep into where AI is truly heading. Nash breaks down complex ideas like the relationship between training data and model efficiency, the reality behind “more GPUs = better AI,” and whether throwing more compute power can still push boundaries - or if we’ve hit a ceiling. He also explores the changing landscape of work: how to build skills that stay relevant in an AI-driven economy, what careers students should pursue in this new wave, and why management today is no longer a ladder but a day-zero job. Beyond AI, Nash sheds light on the growing addiction to social media, the future of voice AI, and what it means to stay human - and valuable - in a world of accelerating automation.

If you’ve ever wondered whether the AI revolution is nearing its limits or just getting started, this episode offers clarity, perspective, and a dose of reality you don’t want to miss!

We’d love to hear your thoughts on this episode - let us know what you think in the comments!
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Chapters:

Intro: 00:00-3:00

Going beyond the debate of AI being smart & the laws of scaling: 3:15

AI penetrating multiple industries, replacing jobs & the opportunities it makes and breaks: 11:00

What to do in order to future proof yourself in the rapidly changing landscape: 20:00

Scarcity of jobs that fit the skillset of the majority & the myth of AI sweeping the need for humans: 30:00

What remains relevant even while AI revolutionises everything: 36:00

How to leverage AI to churn money & the obstacles that hinder its efficiency: 38:00

The future of voice AI: 47:00

Will things eventually come down to systems interacting with systems: 51:00

The advantage of being an industry leader for AI: 1:00:00

Ending notes: 1:12:00
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