Web3 with Sam Kamani

Sam Kamani
  • 5,0 (14)
  • TECHNOLOGIES
  • CHAQUE SEMAINE

"Web 3.0 with Sam Kamani" is all about Web 3 and how it is going to change the world. If you are interested in learning more about the 4th Industrial revolution then this podcast is for you. Web 3.0 or Web 3 is often hailed as the technology that will usher in the 4th industrial revolution. This revolution is going to affect every industry, business, government and person on this planet. Web 3.0 is a collection of technologies that are going to change how we collaborate with each other and interact with our environment. Let's uncover the opportunities and risks of the new version of Web.

  1. 301: From Microsoft China to Pundi AI — David Kay on AI, IP, and Data Rights

    -6 H

    301: From Microsoft China to Pundi AI — David Kay on AI, IP, and Data Rights

    David Kay (Chief Legal Officer, Pundi AI) brings four decades of experience at the intersection of law, technology, and Asia — from drafting China’s first copyright laws to advising Ethereum’s early board and now building tokenized data marketplaces at Pundi AI. We cover how AI, IP, and blockchain collide: data ownership, regulation gaps, China’s AI priorities, lessons from Web3 adoption cycles, and why Pundi AI wants data annotators fairly rewarded. David also explains legal landmines in AI training data, regulatory lag, and what decentralized AI legislation might need next. Timestamps [00:00] David’s journey: law, China, IP, Microsoft, Ethereum board → Pundi AI [00:05] Early blockchain scene in China; why conferences disappeared, why AI is booming [00:09] US vs China: crypto regulation, AI incentives, stablecoins & geopolitics [00:13] Data annotation sweatshops → Pundi AI’s tokenized data marketplace model [00:16] Who owns AI-generated content? Legal uncertainty & emerging lawsuits [00:21] Anthropic’s class-action settlement & future royalty frameworks for AI data [00:23] Pundi AI’s business model: on-chain data marketplace fees & incentives [00:25] Legal risks: siloed regulations, cross-border conflicts, decentralized AI gaps [00:28] AI disruption: law, counseling, jobs & the coming talent bottleneck [00:32] Competition in data marketplaces & how Pundi AI differentiates [00:34] Next 3–5 years: AI agents, ethics, universal basic income, human adaptation [00:38] Roadmap: partnerships, platform growth, tokenized data adoption Connect https://pundi.ai/ https://www.linkedin.com/company/pundix/ https://www.linkedin.com/in/davidbenkay/ https://x.com/PundiAI https://x.com/davidbenkay 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/

    40 min
  2. 300: From Auditing Cardano to Shipping at Scale — Wesley Crook on Fixing Web3

    -3 J

    300: From Auditing Cardano to Shipping at Scale — Wesley Crook on Fixing Web3

    Wesley Crook (CEO, FP Block) has been shipping hard tech since 1985 and rescuing Web3 builds for years. His team audited Cardano early, served as the public auditor for Hedera for 7 years, and has delivered 110+ projects: L1s, oracles, DeFi, games, and more. We dig into why ~70% of FP Block’s work is “rescues,” what enterprise-grade really means (security, throughput, reliability), why many teams pick the wrong chain, and how FP Block’s chain-agnostic framework Kolme lets founders treat the application as the blockchain—then bridge anywhere. Also: Rust over vibe-coding, AI for speed (without debt), talent bottlenecks, and where Web3 consolidates next. Timestamps [00:00] Wesley’s 40-year tech journey; ops leader turned Web3 builder [00:02] From FP Complete & Haskell → first Cardano auditors; Hedera public auditor [00:04] 110+ deliveries: chains, oracles, DeFi, games; enterprise clients (FS, healthcare, Big Tech) [00:05] Why ~70% of work is rescues; rebuilding for enterprise-grade reality [00:07] The core Web3 gap: few real users, weak UX, security debt, wrong chain choices [00:09] “Ecosystem first” vs user first; interoperability + security as blockers to adoption [00:11] Moving apps off earlier choices (e.g., Polygon) to Solana/Near/Sui when fit changes [00:17] Kolme thesis: the app is the blockchain + bridge out; devs focus on product/UX [00:19] Enterprise patterns: private/closed consortia; logistics, real estate flows, audit trails [00:23] Revenue model: small elite squads (CTO→DevOps); fiat + selective token/rev-share; long-term ops [00:25] AI: faster MVPs & iteration—without “vibe coding” debt [00:30] Tech stack: Rust backend, React frontend; why JavaScript/Python backends bite [00:28] Biggest scaling risk: senior talent > junior glut; teach formal methods, teamwork [00:33] Bold takes: consolidation, common standards, some chains fade; gov & enterprise enter [00:38] The ask: founders needing enterprise-grade builds; partners for Kolme Connect https://www.fpblock.com/ https://www.linkedin.com/company/fpblock/ https://x.com/FP_Block https://www.linkedin.com/in/wesleycrook/ 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/

    40 min
  3. 299: Beating the Data Centers — Confidential, Verifiable Compute with Acurast

    -5 J

    299: Beating the Data Centers — Confidential, Verifiable Compute with Acurast

    Today’s “cloud” is concentrated in a handful of mega data centers. Acurast is flipping that model by turning smartphones into a confidential, verifiable compute network—made for Web3 and AI. Founder Dr. Christian Killer explains how they verify hardware, encrypt workloads end-to-end, and deliver trust-minimized compute for price feeds, bridging, LLM inference, web scraping, residential proxy/VPN, and even distributed agent indexing (MIT NANDA). Timestamps [00:00] Intro & the problem: compute is centralized in ~5 companies [00:02] Christian’s path (gaming → Bitcoin Lightning NFC → Web3 infra) [00:04] Why decentralize compute? Cost, control, and data misuse risk [00:05] Phones vs servers: performance-per-watt, economics, upcycling [00:07] The hard bit: verifying hardware + trusted execution environments [00:08] How Acurast works (supply/demand, encrypted jobs, scheduling) [00:09] Web3 demand: price feeds & bridging done trust-minimized [00:10] Web2 demand: scraping + residential IP/VPN for AI startups [00:11] AI focus: inference today, confidential LLMs, agent guardrails [00:13] “Agentic AI” hype vs practice—what actually matters [00:16] Distributed agent indexing (MIT NANDA) explained simply [00:18] What most people miss about LLMs (probabilistic behavior) [00:20] Quantum computing: progress, hype, and reality [00:21] Biggest technical challenges ahead (clustering, MPC, DKG) [00:24] Moore’s Law → performance per watt (phones keep winning) [00:25] DePIN’s real challenge: organic demand & dev UX [00:27] North star metrics & real adoption vs spam [00:28] Roadmap: Cargo (containers), clustering, futures for compute [00:30] The ask: strategic partners & builders; grants/hackathons coming Connect https://acurast.com/ https://x.com/acurast https://x.com/killercsecurity 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/

    32 min
  4. 298: Synthetic Dollars, Stablecoins & Yield — Andrei on Falcon Finance’s Vision

    20 SEPT.

    298: Synthetic Dollars, Stablecoins & Yield — Andrei on Falcon Finance’s Vision

    Andrei from Falcon Finance and DWF Labs joins Sam to share how Falcon Finance is building universal collateralization infrastructure—where users can deposit crypto blue chips like BTC, ETH, SOL, stablecoins, and select altcoins, or tokenized U.S. Treasuries to mint USDf, a synthetic dollar that can be staked to generate sustainable yield. He explains how Falcon combines basis trading, arbitrage, and cross-asset liquidity to power competitive yield, why it’s different from fiat-backed models, and how it plans to expand into tokenized stocks, bonds, and multi-chain collateral. We also cover risk management, transparency, regulation challenges, and advice for founders navigating Web3’s evolving landscape. Key Timestamps[00:00:00] Introduction: Sam introduces Andrei from DWF Labs & Falcon Finance. [00:02:00] Crypto Beginnings: Ethereum mining, early Huobi experience, DWF Labs launch. [00:04:00] Falcon Finance Origins: Need for sustainable yield & collateralization platform. [00:06:00] How It Works: Deposit assets, set liquidation & sale prices, mint synthetic dollars. [00:08:00] Yield Sources: Basis trading, arbitrage, volatility trading, token staking. [00:10:00] Universal Collateralization: From BTC to tokenized stocks & bonds. [00:12:00] Synthetic Dollar Explained: Risk-managed, asset-backed liquidity representation. [00:15:00] USDf Reserves: ~$1.6B backed by BTC, stables, blue chips, altcoins. [00:17:00] Stablecoin Evolution: More collateral types & use cases emerging. [00:19:00] USDf Utility: DeFi strategies, transfers, future fiat off-ramps. [00:21:00] Growth Factors: Teamwork, transparency, market-driven product updates. [00:23:00] Roadmap: Tokenized RWAs, fiat channels, audits, decentralized governance. [00:25:00] Founder Advice: Focus on clients, timing, and market readiness. [00:27:00] The Ask: Partnerships for USDf adoption & collateral expansion. Connect https://falcon.finance/ https://x.com/falconstable https://www.linkedin.com/company/falconstable/ https://x.com/ag_dwf https://www.linkedin.com/in/andrewg77/ 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/

    28 min
  5. 297: HumaTek — Turning Humanitarian Aid from Black Box to Glass Box

    19 SEPT.

    297: HumaTek — Turning Humanitarian Aid from Black Box to Glass Box

    The HumaTek team—Tommy (CEO), Daniel (CMO), Michael (CSO), and Ruhul (CTO)—shares how they’re building a full-stack ecosystem to bring transparency and efficiency to humanitarian aid. From Huma Coin (their dual-impact cryptocurrency) to HumaDash (their AI-powered, on-chain transparency dashboard) and Huma Club (a global platform for donors, NGOs, and communities), HumaTek is tackling fraud, inefficiency, and outdated systems in the $800B global aid industry. We discuss their upcoming Binance ICO launch, direct-aid disbursements, partnerships in homelessness and human trafficking, and how they plan to cut admin overhead while ensuring every dollar of aid reaches those who need it most. Key Timestamps [00:00] Introduction to HumaTek & the humanitarian aid problem [00:02] Founders’ backgrounds in finance, tech, and philanthropy [00:06] Vision: Huma Coin + HumaDash for on-chain transparency [00:09] Example: Direct aid disbursements & cross-border transfers [00:12] Tackling fraud, waste, and admin overhead with AI automation [00:16] How NGOs & partners can white-label HumaDash tools [00:20] Early partnerships: homelessness, human trafficking, medical aid [00:23] Huma Club: A global community platform for donors & impact tracking [00:27] Technical challenges: security, scalability, real-time reporting [00:30] Growth & marketing plans for adoption and trust-building [00:34] Big picture: transparency, efficiency, and humanitarian impact [00:42] Token launch details & call for early partners/investors Connect https://humatek.io/ https://x.com/TeamHumatek 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/

    44 min
  6. 296: Runwago — Get Paid to Hit Your Running Goals Sustainably

    17 SEPT.

    296: Runwago — Get Paid to Hit Your Running Goals Sustainably

    Runwago wants to make running pay—without ponzinomics. Founder Martin explains how their SportsFi app lets everyday runners monetize realistic goals using a transparent “challenge pool” model: everyone joins a challenge, finishers get 100% of their stake back plus rewards funded by those who don’t finish. No shoe NFTs, no inflationary reward token. Timestamps [00:00] Opening & why SportsFi still matters [00:03] Martin’s crypto OG journey (since 2012) [00:05] The problem: 300M daily runners, almost zero monetization [00:08] The model: pooled challenges; finishers earn from non-finishers [00:11] Devices & anti-cheat: Garmin/Apple/WearOS integrations [00:16] App Store realities: compliance, custody, reviews [00:19] Tokenomics done differently (RUNWAGO ≠ reward token) [00:22] Fiat challenges, company revenue, future revenue-share to holders [00:25] GTM: Puma tie-ins, offline activations, club strategy [00:29] Community > celebrities; micro-KOLs and run clubs [00:36] What they’re hiring/raising/partnering for next [00:39] How to try the app + meet at Token2049 Connect https://www.runwago.com/ https://x.com/runwago https://www.linkedin.com/in/martin-lepka-12b51120b/ 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/

    41 min
  7. 295: Futr.network — AI Agents That Pay You for Your Data

    15 SEPT.

    295: Futr.network — AI Agents That Pay You for Your Data

    Alex (ex-BMO investment banker turned founder) shares how Futr.network is flipping the ad/data model with AI agents that pay you for training them. We dig into why the Web2 barter economy (free services for your data) is collapsing, how zero-party data and a data supply chain can route value back to consumers and data contributors (think: mortgage brokers, lenders), and why agentic advertising will disrupt Google/Meta style targeting. Timestamps [00:00] “Time for a new data model” — agents that pay you for training data [00:01] Alex’s path: BMO (M&A → FIG → Digital Assets), fund, stables, now AI agents [00:03] What’s broken: Web2 barter system, cookies/pixels, hidden training sets [00:05] Futr.network: self-sovereign AI agent + incentives for data contributors [00:06] Mortgage example: underwriting pack → agent training → recurring royalties [00:09] Why prior “get paid for your data” failed; why now works (AI agents = $$) [00:15] KPIs: users, dollars on rails, brand demand for zero-party data [00:16] Beachhead: auto loans (optimize payments, save interest, set-and-forget) [00:18] Rails: bank links, credit/debit, embedded wallet, stablecoin payments [00:19] Next verticals: mortgages, student loans; beyond finance → life data [00:21] What most miss about AI: it ran Web2 behind the scenes for years [00:24] High-fidelity AI: no hallucinations when money moves; enterprise-grade stacks [00:28] AI × crypto: machine-speed decisions need machine-speed value settlement [00:30] Data supply chain (like music royalties) via blockchain micropayments [00:32] The disruption: agentic advertising eats digital ads in 3–5 years [00:33] The ask: brands & enterprises; network effects; just raised $5.1M; more to come [00:37] Beta access coming; train your agent, earn tokens Connect https://futrnetwork.com/ https://www.linkedin.com/company/thefutrcorporation/ https://www.linkedin.com/in/alex-mcdougall-290b0b39/ 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/

    39 min
  8. 294: Intuition Systems — Trust, Attestations & AI’s Garbage-In Problem

    12 SEPT.

    294: Intuition Systems — Trust, Attestations & AI’s Garbage-In Problem

    Billy, founder of Intuition Systems (ex–VC/early crypto), digs into the biggest risk in AI: models trained on garbage, regurgitated data and algorithm-shaped behavior. We unpack how attestations, signed data, and web-of-trust reputation can give both humans and AI better intuition at decision time — from picking a chair to routing agentic AI across platforms. Timestamps [00:00] We’re being shaped by algorithms; slop-in → slop-out AI [00:02] Billy’s path: distributed systems, fintech, game bots, early Bitcoin [00:05] The problem: fragmented info (web + people’s heads) & costly context-switching [00:06] What Intuition is: structured expression + rediscovery + rewards [00:08] Attestations & incentives (economic + reputational) without spam [00:12] Can bots game it? Bonding curves, loss for bad signal, web-of-trust filters [00:18] Best content should win: TikTok-style merit + trust primitives [00:19] Use case #1: AI agents—personalization, agent reputation, platform reputation [00:22] Why these reputations must be decentralized (avoid platform capture) [00:23] GTM: unopinionated dev platform + opinionated apps to show PMF [00:24] Biggest challenges: focus, hitting PMF, AI acceleration outpacing products [00:27] Mission: give AI “intuition” via signed, attributed, reputational data [00:28] Reducing AI’s recursive slop problem; verifiable attribution with keys [00:30] Humans act differently per platform; algorithms distort expression [00:33] Call to action: build at the AI × Web3 trust layer; join the community [00:35] Layer Zero Ventures origins (people = Layer 0); why Intuition exists [00:37] Events: Korea Blockchain Week & Token 2049; Intuition side events Connect https://www.intuition.systems/ https://www.linkedin.com/company/0xintuition/ https://x.com/0xintuition https://www.linkedin.com/in/william-luedtke-b0a3bb5a/ https://x.com/0xbillyDisclaimer 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/

    39 min
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À propos

"Web 3.0 with Sam Kamani" is all about Web 3 and how it is going to change the world. If you are interested in learning more about the 4th Industrial revolution then this podcast is for you. Web 3.0 or Web 3 is often hailed as the technology that will usher in the 4th industrial revolution. This revolution is going to affect every industry, business, government and person on this planet. Web 3.0 is a collection of technologies that are going to change how we collaborate with each other and interact with our environment. Let's uncover the opportunities and risks of the new version of Web.

Informations

  • Création
    Sam Kamani
  • Années d’activité
    2021 - 2025
  • Épisodes
    303
  • Classification
    Tous publics
  • Copyright
    © Sam Kamani
  • Site web de l’émission
    Web3 with Sam Kamani

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