Podcast thumbnail for TEACHMEDEFI | Crypto Podcast

TEACHMEDEFI | Crypto Podcast

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by TEACHMEDEFI

5.0(33 reviews)
116 episodes
Updated Bi-weekly
Accepts GuestsHas SponsorsLocation 🇩🇪
91

Podcast Authority

Beta
ExcellentBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality95
Social94
YouTube93
Engagement77

Podcast Overview

Your go-to-podcast for deep dives into the latest crypto and web3 trends. Subscribe and turn on notifications, so you do not miss weekly interviews with key figures & projects of the crypto industry. We cover #Bitcoin, #Ethereum, #Polkadot & more. We focus on creating intuitive, factual, and entertaining content for non-technical individuals. Our motto is: “Educating, not influencing.” We draw a clear line between us and the crowd of low-quality influencers in the crypto space.

Language

🇺🇲

Publishing Since

6/16/2022

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91

Podcast Authority

Beta
ExcellentBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality95
Social94
YouTube93
Engagement77
9
Excellent Areas
1
Good Performance
9
Growth Opportunities
excellent
Episode Length
53 minutes
Performing excellently!
good
Publishing Consistency
Every 11 days

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Recent Episodes

Episode thumbnail for The Truth About Decentralized AI and the Future of Compute

December 3, 2025

The Truth About Decentralized AI and the Future of Compute

<p>In this episode, Sohejl sits down with Greg Osuri, Founder of Akash Network, to explore the realities of building decentralized compute infrastructure in an AI-driven world. Decentralization delivers exceptional value when applied to highly inefficient networks, with compute resources representing one of the most compelling use cases. Greg argues that the current centralized cloud model faces insurmountable challenges as AI workloads strain energy infrastructure beyond capacity, creating structural opportunities for distributed solutions to emerge as necessities rather than alternatives.</p><p>Greg details how data centers in major markets like San Jose are already experiencing power shutdowns, validating Gartner&#39;s prediction that 40% of data centers will face energy shortages by 2026. This crisis creates a compelling case for moving workloads to where energy exists rather than attempting to transport energy across increasingly strained grid infrastructure. Greg explains how Trusted Execution Environments (TEEs) solve critical problems around confidentiality and verifiability with only 20% performance overhead, making them the most practical solution compared to alternatives like zero-knowledge proofs or fully homomorphic encryption.</p><p>The discussion takes an unexpected turn into blockchain infrastructure strategy as Greg reveals Akash&#39;s planned migration away from Cosmos toward shared security models. This strategic shift reflects deeper lessons about the Cosmos ecosystem&#39;s structural challenges and the broader principle that sovereignty should follow product-market fit rather than precede it. Greg&#39;s critique of building layer-one infrastructure before achieving market validation offers valuable insights for founders navigating similar decisions across the crypto infrastructure landscape.</p><p>The episode concludes with Greg&#39;s frank assessment of the decentralized AI landscape, describing many current projects as vaporware while identifying distributed training as the most promising frontier. His framework for evaluating legitimate projects focuses on verifiable utility, non-speculative demand drivers, and actual user adoption rather than tokenomics engineering or marketing sophistication.</p><p><strong>📣📣📣 Building something exciting &amp; want to come on the show or collaborate with us? </strong></p><p><strong>Email us at  👉👉 business@teachmedefi.de 👈👈 or DM us on X: @teachmedefi</strong></p><p>▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀</p><p><strong>Guest Links / Additional Material:</strong></p><p>Greg’s Twitter: <a href="https://x.com/gregosuri"><u>https://x.com/gregosuri</u></a> </p><p>Akash Twitter: <a href="https://x.com/akashnet"><u>https://x.com/akashnet</u></a> </p><p>Akash’s website: <a href="https://akash.network/"><u>https://akash.network/</u></a> </p><p>▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀</p><p><strong>Timestamps:</strong></p><p><strong>0:00 - </strong>Intro &amp; Decentralization Philosophy</p><p><strong>1:01 - </strong>Network Inefficiency &amp; AI Energy Crisis</p><p><strong>8:23 - </strong>Energy Distribution &amp; Infrastructure Challenges</p><p><strong>11:11 - </strong>Home Computing &amp; Solar Solutions</p><p><strong>15:24 - </strong>Confidentiality &amp; Verifiability Solutions</p><p><strong>19:23 - </strong>Trusted Execution Environments (TEEs)</p><p><strong>21:07 - </strong>Akash Chain Migration Strategy</p><p><strong>24:47 - </strong>Cosmos Model Critique &amp; Sovereignty Issues</p><p><strong>31:07 - </strong>L1 Economics Analysis</p><p><strong>33:40 - </strong>Akash Marketplace Overview</p><p><strong>36:26 - </strong>Burn-Mint Equilibrium Intro</p><p><strong>39:05 - </strong>BME Technical Mechanics &amp; Economics</p><p><strong>45:06 - </strong>BME Timeline &amp; Terra Luna Comparison</p><p><strong>47:56 </strong>- Decentralized AI Vaporware Assessment</p><p><strong>50:41 -</strong> Training vs Inference Opportunities</p><p><strong>53:07 -</strong> Industry Outlook &amp; Future Developments</p><p><strong>--------------</strong></p><p><strong>Disclaimer:</strong></p><p>TEACHMEDEFI is a provider of entertainment and opinions. We are neither a broker/dealer nor an investment advisor. This is not a service for issuing or receiving financial or investment advice. None of our content constitutes a recommendation – or should be understood as such – to conduct transactions in securities, cryptocurrencies, or crypto-assets, or to engage in any of the investment strategies presented in our discussions or provided content. We do not provide personalized recommendations or views on whether a stock, cryptocurrency, crypto-asset, or investment approach is suitable for the financial needs of a particular individual.</p>

Episode thumbnail for The Internet that Remembers with AR.IO

November 12, 2025

The Internet that Remembers with AR.IO

Soheil interviews Phil, Founder of AR.IO, exploring how decentralized storage networks offer permanent, resilient alternatives to centralized cloud vulnerabilities.

Episode thumbnail for Can Restaking Make AI Trustworthy? (w/ Imua)

November 10, 2025

Can Restaking Make AI Trustworthy? (w/ Imua)

Sohejl interviews Warren Paul Anderson, co-founder of Imua, exploring how restaking enhances trust in AI and off-chain services.

116 total episodes available with 8 transcripts

Recent guests on TEACHMEDEFI | Crypto Podcast

Guests from recent episodes — sign up to see every guest that has ever appeared on this show.

Phil

Guest

Warren Paul Anderson

Guest

Rowan

Guest

Hrish Lotlikar

Guest

Howard Wu

Guest

Alex Page

Guest

Steve Paladin

Guest

Ryan Levy

Guest

Matty

Guest

Frank Schuil

Guest

Anton Bukov

Guest

Nik Kassis

Guest

Deep-dive analytics for TEACHMEDEFI | Crypto Podcast

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is TEACHMEDEFI | Crypto Podcast?

Your go-to-podcast for deep dives into the latest crypto and web3 trends. Subscribe and turn on notifications, so you do not miss weekly interviews with key figures & projects of the crypto industry.

We cover #Bitcoin, #Ethereum, #Polkadot & more. We focus on creating intuitive, factual, and entertaining content for non-technical individuals.

Our motto is: “Educating, not influencing.” We draw a clear line between us and the crowd of low-quality influencers in the crypto space.

How often does this podcast release new episodes?

This podcast updates bi-weekly.

Where can I listen to this podcast?

This podcast is available on 9 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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