Try for free
Jagged Edge with Yogi Patel
Jagged Edge with Yogi Patel

How AI Really Works: Human Brains, Data Centers, and Responsibility

27 January 2026 18:59 Yogi Patel

Listen to episode

About this episode

In this episode of Jagged Edge Podcast with Yogi Patel, Yogi sits down with Vikram Sekar, a semiconductor professional, to unpack how artificial intelligence actually works beneath the surface.

Together, they explore how AI systems are built using GPUs and massive data centers, and why artificial neural networks are often compared to the way the human brain learns and adapts through experience.

The conversation goes beyond hype and headlines to examine the real costs and responsibilities of AI, including energy use, water consumption, and the infrastructure needed to power today’s models. Yogi and Vikram also discuss how adults and children alike can use AI thoughtfully, with curiosity, boundaries, and strong critical thinking skills.

Topics covered in this episode include:

  • How AI and transformer models really work
  • The difference between CPUs and GPUs
  • Why is AI learning often compared to the human brain
  • Energy, water, and environmental costs of AI
  • AI limitations and why it sometimes gets things wrong
  • How to help children think critically about technology
  • Using AI as a tool for thinking, not replacing thinking

If you’re curious about AI, cautious about its impact, or trying to navigate technology thoughtfully at work or at home, this episode offers grounded insights and a practical perspective.

🎙 Jagged Edge with Yogi Patel on YouTube https://www.youtube.com/watch?v=oroTcC4tYIA

Available wherever you get your podcasts.

Support the show

Let me know your topics of interest and join me for training or visit the website and read the blogs. Comment with your ideas and thoughts please.

Yogi Patel - Transformation Through Empowerment
Http://yogipateltte.com
[email protected]
@yogipatel_tte

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Jagged Edge with Yogi Patel. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support