Imagine owning your own AI. That’s exactly what David Johnston, core contributor at Morpheus believes is not just possible, but inevitable. In this episode, we go deep on smart agents, how they’re the next evolution after smart contracts, and why decentralized AI will reshape how we use intelligence. David shares why the world has now officially crossed the line where AI has more brainpower than all humans combined,and what that means for builders, entrepreneurs, and anyone online.

We cover how Morpheus is building a platform for smart agents just like Ethereum did for smart contracts, why LLMs still matter, and how tools like x402 and onchain identity are solving major AI risks. This is the future of AI, Web3, and ownership, all in one.

Key Learnings & Time Stamps

• [00:00] - AI brainpower now exceeds human brainpower, what that really means.

• [03:00] - The origin story of DApps and why decentralized software must pay for its own hardware.

• [05:30] - How Web3 evolved from protocol to user-friendly applications.

• [08:00] - What smart agents are and why they’re the natural next step after smart contracts.

• [10:00] - How Morpheus provides infrastructure and incentives for agent builders.

• [17:00] - Current limitations of autonomous agents and how intent-based agents solve real problems.

• [20:00] - How ERC-8004 and agent reputation registries change the AI trust layer.

• [22:00] - What x402 is and why it's a game-changer for onchain payments.

• [26:00] - Why rewarding developers directly makes Morpheus similar to early Ethereum.

• [32:00] - The shift from office space to data centers, what AI is really doing to work.

• [38:00] - LLMs are not enough, here’s how personal AI agents will evolve.

• [43:00] - The idea behind the Morpheus Virtual Machine.

• [47:00] - Roadmap: What’s next for Morpheus and its community-led infrastructure.
  

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research.

Connect

https://mor.org

https://www.linkedin.com/company/morpheusais/

https://www.linkedin.com/in/davidajohnston/

https://x.com/DJohnstonEC

Be featured on this podcast

Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Imagine a world where your kids learn directly from Einstein in the metaverse. That’s the bold vision Mete Al is building at ICB Labs.

In this episode, I sat down with Mete live at Token2049 in Singapore to explore how ICB Labs is fusing AI, blockchain, and immersive metaverse experiences to reshape education. From building a global network of university partnerships to creating age-appropriate AI mentors for kids, Mete shares how his team is creating a safe, scalable, and gamified learning environment for the next generation.

We talk NFTs with real utility, selling $3M in an ICO, and how AI is quietly training itself through student interactions. This one is full of practical insights, bold predictions, and the clarity of a founder with a big mission: to build the future of learning.

Key Learnings + Time Stamps

• [00:00] Selling $2.5M in NFTs in 3 days — how they did it

• [01:20] How Mete got into Web3 from real estate & farming

• [03:50] The shift to AI in education: problems and promise

• [06:30] Why current AI use in schools is broken — and ICB’s fix

• [08:00] What sets ICB’s metaverse apart from Meta & others

• [10:20] How their AI matches students by age with safe, tailored content

• [12:00] B2B model: partnering with 9+ universities globally

• [14:00] The real reason previous metaverse hype failed

• [16:00] Roadmap: language learning, talent hubs, AI avatars & fashion street

• [18:30] Their monetization model: KYC, NFTs with utility, and their own token

• [20:00] What startup founders should focus on: Mete’s #1 advice

• [21:00] The upcoming “Talent Hub” to fund and build student ideas

• [23:00] Who inspires Mete in Web3: shoutout to 1inch and Sandbox

• [25:00] ICB Labs’ next big milestone: scaling to 400+ staff and beyond
  

Connect

Mete's Socials:

https://www.instagram.com/meteicb/

https://www.linkedin.com/in/meteicb/

ICB Labs:

https://x.com/ICBLabs

https://www.linkedin.com/company/icblabs/

https://icblabs.com/

ICB Verse:

https://x.com/icbverse

https://icbverse.io/

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us – https://www.web3pod.xyz/

Catherine (Space and Time) breaks down why blockchains alone can’t power complex apps—and how a verifiable, decentralized database with ZK proofs closes the gap for enterprises, devs, and AI agents. We cover: what SxT is, how its patented ZK approach offloads compute to a single node and proves correctness on-chain, why institutional adoption is sticky, and marketing tactics that actually work in Web3 (what to outsource vs keep in-house). She also shares the Indonesia education rollout (UGM + Indosat Ooredoo Hutchison/IOH), token-powered payments, and what she’d do with unlimited community budget.

Key timestamps (YouTube format)

[00:00:00] Opening clip: From “future of money” to “verifiable data for smart contracts”

[00:01:00] Live at Token2049: who Catherine is and what we cover

[00:02:00] Origin story: joining Space and Time to solve crypto’s database gap

[00:03:00] Mission: empower devs/enterprises/AI agents with verifiable data

[00:04:00] Why chains ≠ databases: limits, complexity, and enterprise SLAs

[00:05:00] The core innovation: patented ZK proofs for database compute

[00:05:45] How it works (plain English): single-node compute, on-chain verification

[00:06:30] Catherine’s background: technical marketing roots → Web3

[00:07:00] Founder tip: what to outsource vs keep internal (PR, events, community)

[00:08:00] Campaigns that win: enterprise/institutional stories beat gimmicks

[00:09:00] Example: Microsoft Fabric integration momentum

[00:10:00] Listening to the market: community as your feedback engine

[00:11:00] Indonesia rollout: IOH partnership and 100k+ students onboarding

[00:12:00] UGM framework: verifiable diplomas/records; SXT as payment rail

[00:13:00] Longevity question: decentralization and community node operators

[00:15:00] If starting today: what they’d build vs leverage in the ecosystem

[00:16:00] Why institutional demand is slow but sticky (and good for cycles)

[00:17:00] Competing for attention vs building fundamentals and partnerships

[00:18:00] What Space and Time needs now: builders to ship with verifiable data

[00:19:00] Who they admire: Chainlink’s dual GTM (community + enterprise)

[00:20:00] Unlimited budget thought experiment: country leads and community depth

[00:20:45] Advice to community managers: shared values, inclusion, tight feedback loops

[00:21:30] Close: links, how to try SxT, and why this matters for Web3 builders

Connect

https://www.spaceandtime.io/

https://twitter.com/SpaceandTimeDB

https://discord.gg/spaceandtimeDB

https://www.linkedin.com/in/catherinehdaly/

https://www.linkedin.com/company/space-and-time-db/

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/