Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

“LLMs resolve training conflicts by occurrence frequency, not truth.” Chaos Labs CEO Omer Goldberg and Illia (root.near) (🇺🇦, ⋈), co-author of Attention Is All You Need & co-founder NEAR Protocol, explain why uncurated content embeds bias into LLMs + why data lineage is now table stakes.

chaoslabs's profile picture

Chaos Labs

39,628 subscribers

20,003 Aufrufe • vor 6 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

“I don’t like calling them scaling laws. They're not actual laws.” Illia (root.near) (🇺🇦, ⋈), co-author of Attention Is All You Need and co-founder of NEAR Protocol, joined our CEO Omer Goldberg to discuss why future AI breakthroughs may come from improved training and formal reasoning rather than larger models.
1:55

“I don’t like calling them scaling laws. They're not actual laws.” Illia (root.near) (🇺🇦, ⋈), co-author of Attention Is All You Need and co-founder of NEAR Protocol, joined our CEO Omer Goldberg to discuss why future AI breakthroughs may come from improved training and formal reasoning rather than larger models.

Chaos Labs

67,013 Aufrufe • vor 1 Jahr

AI models learn what’s most repeated, not what’s true. NEAR Protocol co-founder Illia (root.near) (🇺🇦, ⋈) and our CEO Omer Goldberg break down why data provenance, source reputation, and community curation are critical to building trustworthy AI.
3:43

AI models learn what’s most repeated, not what’s true. NEAR Protocol co-founder Illia (root.near) (🇺🇦, ⋈) and our CEO Omer Goldberg break down why data provenance, source reputation, and community curation are critical to building trustworthy AI.

Chaos Labs

15,499 Aufrufe • vor 1 Jahr

Andy asked why wouldn't AI agents create their own currency? An AI-generated unit of account all the LLMs agree on? Illia (root.near) (🇺🇦, ⋈), Co-Founder of NEAR Protocol: "They can create tokens. But agents need reputation and reputation needs history. You can't manufacture that." "You still need to pay for compute. That maps to energy. Those economic pieces need to map into something people value. Existing infrastructure already has ins and outs into the real world. That matters."
1:30

Andy asked why wouldn't AI agents create their own currency? An AI-generated unit of account all the LLMs agree on? Illia (root.near) (🇺🇦, ⋈), Co-Founder of NEAR Protocol: "They can create tokens. But agents need reputation and reputation needs history. You can't manufacture that." "You still need to pay for compute. That maps to energy. Those economic pieces need to map into something people value. Existing infrastructure already has ins and outs into the real world. That matters."

The Rollup

34,108 Aufrufe • vor 2 Monaten

The ETH Rising speaker lineup is set! Catch us at ETH Denver on Feb 28 🧑‍🚀 🎙️: Karn Saroya, CEO of Re 🎙️: Illia (root.near) (🇺🇦, ⋈), Co-Founder of NEAR Protocol 🎙️: Billy, Co-Founder of Term Labs 🎙️: Dion Chu, CEO of Term Labs 🎙️: Hong Kim, Cofounder & CTO of 🎙️: Cliff White 🌏,VP Engineering at Re 🎙️: Abdul, Head of DeFi at Monad 🎙️: Maria 🐸, General Partner at Electric Capital ⚡️ 🎙️: Ken Deeter (puntium.eth) 🦇🔊, General Partner at Electric Capital ⚡️ 🎙️: , Founder at ink 🎙️: Natalie Gray 🌏, VP Marketing at Re 🎙️: Chef Egor, Treasurer at Infinex 🎙️: Shashank | 𝔽rAI, CEO of Fraction AI 🎙️: Showtime, Head of Ecosystem at ether.fi Set a reminder for the livestream:
0:38

The ETH Rising speaker lineup is set! Catch us at ETH Denver on Feb 28 🧑‍🚀 🎙️: Karn Saroya, CEO of Re 🎙️: Illia (root.near) (🇺🇦, ⋈), Co-Founder of NEAR Protocol 🎙️: Billy, Co-Founder of Term Labs 🎙️: Dion Chu, CEO of Term Labs 🎙️: Hong Kim, Cofounder & CTO of 🎙️: Cliff White 🌏,VP Engineering at Re 🎙️: Abdul, Head of DeFi at Monad 🎙️: Maria 🐸, General Partner at Electric Capital ⚡️ 🎙️: Ken Deeter (puntium.eth) 🦇🔊, General Partner at Electric Capital ⚡️ 🎙️: , Founder at ink 🎙️: Natalie Gray 🌏, VP Marketing at Re 🎙️: Chef Egor, Treasurer at Infinex 🎙️: Shashank | 𝔽rAI, CEO of Fraction AI 🎙️: Showtime, Head of Ecosystem at ether.fi Set a reminder for the livestream:

Re

18,255 Aufrufe • vor 1 Jahr

LLMs had the internet. Robotics doesn’t, which is why we’re bringing the Scale AI data engine into the physical world. Robotics won’t be solved by blindly collecting 100x more demos. Raw trajectories need structure (intent, subgoals, failures, recoveries, edge cases, quality signals) or you just average mistakes. At Scale Labs, we’re building that data flywheel, mapping the right data to the right capabilities and scaling what works globally !
1:30

LLMs had the internet. Robotics doesn’t, which is why we’re bringing the Scale AI data engine into the physical world. Robotics won’t be solved by blindly collecting 100x more demos. Raw trajectories need structure (intent, subgoals, failures, recoveries, edge cases, quality signals) or you just average mistakes. At Scale Labs, we’re building that data flywheel, mapping the right data to the right capabilities and scaling what works globally !

jade

15,262 Aufrufe • vor 2 Monaten

In our latest AI Explainer episode, Sr. Product Marketing Manager for AI, Meena Ganesh, and Box CTO, Ben Kus, tackle beliefs holding enterprises back today. They dive into: • Model Hosting: Why "hosting it yourself" isn't the only path to enterprise-grade security. • The Reality of AI Tricking: A look at prompt injection and the "action guardrails" needed to protect your agents. • The "Clean Data" Fallacy: Why you don't need perfect data to start. • Determinism vs. Utility: Understanding why the "unpredictability" of LLMs is a feature for reasoning tasks. • Training vs. RAG: Why the models of today rarely need custom training sets.
2:05

In our latest AI Explainer episode, Sr. Product Marketing Manager for AI, Meena Ganesh, and Box CTO, Ben Kus, tackle beliefs holding enterprises back today. They dive into: • Model Hosting: Why "hosting it yourself" isn't the only path to enterprise-grade security. • The Reality of AI Tricking: A look at prompt injection and the "action guardrails" needed to protect your agents. • The "Clean Data" Fallacy: Why you don't need perfect data to start. • Determinism vs. Utility: Understanding why the "unpredictability" of LLMs is a feature for reasoning tasks. • Training vs. RAG: Why the models of today rarely need custom training sets.

Box

460,230 Aufrufe • vor 4 Monaten

NEW EP: Inside NEAR Protocol 10+ Years Building Toward the Agent Economy with Illia Polosukhin (Illia (root.near) (🇺🇦, ⋈)) From pioneering the transformer architecture now used in every AI stack to building the rails for the agent economy, NEAR Co-Founder Illia Polosukhin connects the full arc in this inaugural episode of “Inside NEAR,” a new quarterly series on The Rollup. Illia breaks down NEAR’s early architectural bets that are now paying off, why privacy had to be a base-layer choice, and how it all culminates in NEAR becoming AI money: the unit of account for inference, compute, and every agent-to-agent transaction settling onchain. With $20 billion+ in Intents volume and a path to deflation, the thesis is simple: NEAR’s TAM isn't crypto, it's all of commerce. Timestamps: 00:00 Intro 01:38 State Of NEAR Quarterly 04:32 The Transformer's Origin Story 06:51 NEAR Started As AI 11:40 Post-Quantum Crypto Coming Soon 13:48 Root Of Trust Solved 19:36 Target Market All Commerce 20:41 AI Frontend Blockchain Backend 22:44 Confidential Intents TVL Rising 28:51 Fee Switch Turned On 34:04 NEAR Is AI Money 36:30 One Line Changes Reality Full episode links below.
40:22

NEW EP: Inside NEAR Protocol 10+ Years Building Toward the Agent Economy with Illia Polosukhin (Illia (root.near) (🇺🇦, ⋈)) From pioneering the transformer architecture now used in every AI stack to building the rails for the agent economy, NEAR Co-Founder Illia Polosukhin connects the full arc in this inaugural episode of “Inside NEAR,” a new quarterly series on The Rollup. Illia breaks down NEAR’s early architectural bets that are now paying off, why privacy had to be a base-layer choice, and how it all culminates in NEAR becoming AI money: the unit of account for inference, compute, and every agent-to-agent transaction settling onchain. With $20 billion+ in Intents volume and a path to deflation, the thesis is simple: NEAR’s TAM isn't crypto, it's all of commerce. Timestamps: 00:00 Intro 01:38 State Of NEAR Quarterly 04:32 The Transformer's Origin Story 06:51 NEAR Started As AI 11:40 Post-Quantum Crypto Coming Soon 13:48 Root Of Trust Solved 19:36 Target Market All Commerce 20:41 AI Frontend Blockchain Backend 22:44 Confidential Intents TVL Rising 28:51 Fee Switch Turned On 34:04 NEAR Is AI Money 36:30 One Line Changes Reality Full episode links below.

The Rollup

25,631 Aufrufe • vor 1 Monat

In this episode, we’re diving deep into AI and crypto. To help us unpack it, we’re joined by Illia (root.near) (🇺🇦, ⋈) — co-founder of the crypto protocol NEAR Protocol and co-author of the groundbreaking 2017 “transformers” paper that kicked off the current AI boom. Ilia has been early to some of the biggest recent tech trends, and today he brings us a rare, panoramic view of the tech industry’s cutting edge. Together we explore what the phrase “user-owned AI” really means; why the so-called agentic internet — that is, a world where your AI assistant talks directly to services on your behalf — might replace the very notion of websites and apps as we know them; and much more. Timestamps: 0:00 - Introduction 3:40 - Centralization and Challenges of AI 6:17 - “User-Owned” AI 12:14 - Confidential Computing and AI 17:51 - The Birth of Transformers 22:33 - NEAR AI and Crowdsourcing 27:56 - AI Agents and Future Applications 31:04 - The End of Websites and Applications 34:08 - Dead Internet Theory & Distinguishing Humans 41:49 - Open Source vs. Open Weight Models 43:48 - Geopolitical Implications of AI 46:55 - NEAR Protocol and Blockchain Scaling 59:29 - The Role of Humans in an AI World
1:02:18

In this episode, we’re diving deep into AI and crypto. To help us unpack it, we’re joined by Illia (root.near) (🇺🇦, ⋈) — co-founder of the crypto protocol NEAR Protocol and co-author of the groundbreaking 2017 “transformers” paper that kicked off the current AI boom. Ilia has been early to some of the biggest recent tech trends, and today he brings us a rare, panoramic view of the tech industry’s cutting edge. Together we explore what the phrase “user-owned AI” really means; why the so-called agentic internet — that is, a world where your AI assistant talks directly to services on your behalf — might replace the very notion of websites and apps as we know them; and much more. Timestamps: 0:00 - Introduction 3:40 - Centralization and Challenges of AI 6:17 - “User-Owned” AI 12:14 - Confidential Computing and AI 17:51 - The Birth of Transformers 22:33 - NEAR AI and Crowdsourcing 27:56 - AI Agents and Future Applications 31:04 - The End of Websites and Applications 34:08 - Dead Internet Theory & Distinguishing Humans 41:49 - Open Source vs. Open Weight Models 43:48 - Geopolitical Implications of AI 46:55 - NEAR Protocol and Blockchain Scaling 59:29 - The Role of Humans in an AI World

a16z crypto

47,066 Aufrufe • vor 1 Jahr

"Attention is All You Need" co‑author and NEAR Protocol founder Ilia Polosukhin reveals why centralized AI is doomed and the radical blueprint for user‑owned models. The next wave could erase your job or hand you god‑mode. In this podcast we're exploring how the cybernetic world is coming to life and what core components are needed for it. 1:47 Ilia’s journey: AI → blockchain → AI 3:58 How transformers were born at Google 9:50 Scaling laws 11:58 RL loops, new architectures, hardware limits 18:00 Creating NEAR to fix crypto‑payments for AI crowdsourcing 23:25 User‑owned AI: why decentralize models 29:46 Confidential computing & verifiable decentralized training 33:33 Agent era: AITP and multi‑agent negotiation 44:24 Enterprise adoption, SaaS disruption, economic shake‑up 52:54 Security, formal verification, AI courts 1:04:07 Jobs, status games, future of work 1:14:00 Post-AGI
1:13:40

"Attention is All You Need" co‑author and NEAR Protocol founder Ilia Polosukhin reveals why centralized AI is doomed and the radical blueprint for user‑owned models. The next wave could erase your job or hand you god‑mode. In this podcast we're exploring how the cybernetic world is coming to life and what core components are needed for it. 1:47 Ilia’s journey: AI → blockchain → AI 3:58 How transformers were born at Google 9:50 Scaling laws 11:58 RL loops, new architectures, hardware limits 18:00 Creating NEAR to fix crypto‑payments for AI crowdsourcing 23:25 User‑owned AI: why decentralize models 29:46 Confidential computing & verifiable decentralized training 33:33 Agent era: AITP and multi‑agent negotiation 44:24 Enterprise adoption, SaaS disruption, economic shake‑up 52:54 Security, formal verification, AI courts 1:04:07 Jobs, status games, future of work 1:14:00 Post-AGI

cyber•Fund

35,361 Aufrufe • vor 1 Jahr

why agents need VMs, not containers with David Crawshaw, ex-CTO & co-founder of Tailscale now co-founder and CEO of exe - a new up-and-coming cloud provider Timestamps (0:00) why build a new cloud? (2:07) why Docker isn't enough for agents (12:28) why AI-friendly is developer-friendly (20:32) why VMs are the right abstraction (and the serendipity of just dropping an idea prompt from your phone) (28:30) the exorbitant price of IOPS in the cloud (32:21) Cloud Discounts (33:40) the rise of self hosting (41:25) Shelly and AI ops agents (48:10) the hard problem with AI SREs (53:00) parting thoughts and early EC2’s noisy neighbor shenanigans
56:55

why agents need VMs, not containers with David Crawshaw, ex-CTO & co-founder of Tailscale now co-founder and CEO of exe - a new up-and-coming cloud provider Timestamps (0:00) why build a new cloud? (2:07) why Docker isn't enough for agents (12:28) why AI-friendly is developer-friendly (20:32) why VMs are the right abstraction (and the serendipity of just dropping an idea prompt from your phone) (28:30) the exorbitant price of IOPS in the cloud (32:21) Cloud Discounts (33:40) the rise of self hosting (41:25) Shelly and AI ops agents (48:10) the hard problem with AI SREs (53:00) parting thoughts and early EC2’s noisy neighbor shenanigans

Stanislav Kozlovski

124,987 Aufrufe • vor 2 Monaten

"The moment where you even start doubting whether you can trust someone or not, you have no trust." "The number one reason why most organizations break down — and why you need processes and all the bureaucracies — is ultimately because there's no trust. If you had 100% trust you wouldn't need any of this stuff and you would move much faster. Why is that so rare? Because it doesn't scale. Trust really compounds — but you gain maybe 1% per positive interaction. And it takes one bad interaction to ruin all of it." — Spotify co-founder Daniel Ek (Daniel Ek)
1:34

"The moment where you even start doubting whether you can trust someone or not, you have no trust." "The number one reason why most organizations break down — and why you need processes and all the bureaucracies — is ultimately because there's no trust. If you had 100% trust you wouldn't need any of this stuff and you would move much faster. Why is that so rare? Because it doesn't scale. Trust really compounds — but you gain maybe 1% per positive interaction. And it takes one bad interaction to ruin all of it." — Spotify co-founder Daniel Ek (Daniel Ek)

David Senra

39,648 Aufrufe • vor 1 Monat

INTERVIEW: AI, Surveillance, & the Fight for Digital Sovereignty | Near's Illia Polosukhin What happens when powerful AI requires an ID, governments can restrict access by country, and your most private data flows through centralized systems? NEAR Protocol co-founder Illia (root.near) (🇺🇦, ⋈) joins David Hoffman to explain why AI export controls could fracture the internet, how nationalized AI could become a surveillance layer, and why decentralized, user-owned AI may be the only real alternative. They also unpack Ironclaw, confidential inference, private agents, and NEAR’s push to make AI and assets fully sovereign. [TIMESTAMPS] 0:00 Intro 3:47 Pandora’s Box Opens 6:03 AI Meets Government 7:16 Decentralizing the Stack 8:51 Why Ban Fable? 11:18 Internet Balkanization 13:57 KYC for AI? 18:43 Nationalized Models 21:07 Building Private AI 26:30 Agent Marketplace 30:26 User-Owned Alignment 35:28 Winning Against Giants 40:19 Regulation Fuels Crypto 42:24 Global AI Adoption 45:05 Compute Is the Bottleneck 49:00 Enterprise Use Cases 51:39 Confidential TVL Explained 55:25 Full Sovereign Mode
57:26

INTERVIEW: AI, Surveillance, & the Fight for Digital Sovereignty | Near's Illia Polosukhin What happens when powerful AI requires an ID, governments can restrict access by country, and your most private data flows through centralized systems? NEAR Protocol co-founder Illia (root.near) (🇺🇦, ⋈) joins David Hoffman to explain why AI export controls could fracture the internet, how nationalized AI could become a surveillance layer, and why decentralized, user-owned AI may be the only real alternative. They also unpack Ironclaw, confidential inference, private agents, and NEAR’s push to make AI and assets fully sovereign. [TIMESTAMPS] 0:00 Intro 3:47 Pandora’s Box Opens 6:03 AI Meets Government 7:16 Decentralizing the Stack 8:51 Why Ban Fable? 11:18 Internet Balkanization 13:57 KYC for AI? 18:43 Nationalized Models 21:07 Building Private AI 26:30 Agent Marketplace 30:26 User-Owned Alignment 35:28 Winning Against Giants 40:19 Regulation Fuels Crypto 42:24 Global AI Adoption 45:05 Compute Is the Bottleneck 49:00 Enterprise Use Cases 51:39 Confidential TVL Explained 55:25 Full Sovereign Mode

Bankless

59,588 Aufrufe • vor 1 Monat

LIVE NOW - Illia Polosukhin: Why AI Agents Are Still Useless (And What Fixes Them) AI agents still fall short. NEAR Protocol founder + Transformer co-author Illia (root.near) (🇺🇦, ⋈) breaks down what’s missing, why it matters, and how IronClaw could help unlock secure, private, autonomous AI. Illia’s bigger thesis: AI becomes the interface. Blockchains become the backend. -------------- TIMESTAMPS 0:00 Intro 0:43 Illia’s AI Journey 6:50 AI x Blockchain Operating Systems 13:11 Will Humans & AIs Use the Same Systems? 16:51 Why Are AI Agents Still Useless? 27:25 AI Agent Privacy Concerns 34:01 IronClaw Privacy 37:52 AI Agent Limitations 44:32 Context Constraints 51:14 Will Small Teams Win? 54:48 Autonomous Agents & Businesses 58:32 Digital Life Forms? 1:00:14 e/acc Vs d/acc 1:07:16 Why isn’t AI Crypto-Pilled 1:12:03 Advice for Builders 1:16:02 Closing & Disclaimers
1:19:19

LIVE NOW - Illia Polosukhin: Why AI Agents Are Still Useless (And What Fixes Them) AI agents still fall short. NEAR Protocol founder + Transformer co-author Illia (root.near) (🇺🇦, ⋈) breaks down what’s missing, why it matters, and how IronClaw could help unlock secure, private, autonomous AI. Illia’s bigger thesis: AI becomes the interface. Blockchains become the backend. -------------- TIMESTAMPS 0:00 Intro 0:43 Illia’s AI Journey 6:50 AI x Blockchain Operating Systems 13:11 Will Humans & AIs Use the Same Systems? 16:51 Why Are AI Agents Still Useless? 27:25 AI Agent Privacy Concerns 34:01 IronClaw Privacy 37:52 AI Agent Limitations 44:32 Context Constraints 51:14 Will Small Teams Win? 54:48 Autonomous Agents & Businesses 58:32 Digital Life Forms? 1:00:14 e/acc Vs d/acc 1:07:16 Why isn’t AI Crypto-Pilled 1:12:03 Advice for Builders 1:16:02 Closing & Disclaimers

Bankless

44,185 Aufrufe • vor 4 Monaten

👁‍🗨Not Dead Yet | S1E2 — Eli Ben-Sasson At long last, privacy is in vogue, particularly in crypto. Running parallel to the rise in interest has been the rise of Zcash 🛡️, now even with $ZEC treasury companies forming like Cypherpunk. In episode 2 of Not Dead Yet, Robert Baggs speaks with Eli Ben-Sasson | Starknet.io. Eli is a long-time researcher of zero-knowledge proofs (the technology that underpins Zcash), the co-inventor of Zerocash protocol and ZK_STARKS, and the co-founder and CEO of StarkWare (BTCFi arc) 🥷. Timestamps: 00:00 – Intro 01:23 – Why is privacy important to you? 03:24 – Why is a lack of privacy holding blockchains back? 04:05 – Privacy is normal, so why isn’t it already normal in crypto? 06:10 – The dangers of CBDCs 09:00 – “If you have nothing to hide, you have nothing to fear” 12:53 – What are Zero Knowledge Proofs (ZKPs) and why are they important? 19:26 – What is Zcash and how does it work? 21:14 – Why is privacy suddenly trending? 23:15 – What happens if Bitcoin doesn’t address its lack of privacy? 28:03 – Can we stop a dystopian future?
30:30

👁‍🗨Not Dead Yet | S1E2 — Eli Ben-Sasson At long last, privacy is in vogue, particularly in crypto. Running parallel to the rise in interest has been the rise of Zcash 🛡️, now even with $ZEC treasury companies forming like Cypherpunk. In episode 2 of Not Dead Yet, Robert Baggs speaks with Eli Ben-Sasson | Starknet.io. Eli is a long-time researcher of zero-knowledge proofs (the technology that underpins Zcash), the co-inventor of Zerocash protocol and ZK_STARKS, and the co-founder and CEO of StarkWare (BTCFi arc) 🥷. Timestamps: 00:00 – Intro 01:23 – Why is privacy important to you? 03:24 – Why is a lack of privacy holding blockchains back? 04:05 – Privacy is normal, so why isn’t it already normal in crypto? 06:10 – The dangers of CBDCs 09:00 – “If you have nothing to hide, you have nothing to fear” 12:53 – What are Zero Knowledge Proofs (ZKPs) and why are they important? 19:26 – What is Zcash and how does it work? 21:14 – Why is privacy suddenly trending? 23:15 – What happens if Bitcoin doesn’t address its lack of privacy? 28:03 – Can we stop a dystopian future?

Cointelegraph

120,257 Aufrufe • vor 6 Monaten

How NEAR Intents are Solving Crypto's Biggest Problems | Free the Money Ep. 36 Alex Shevchenko is the Co-founder and CEO of Aurora Labs and Defuse Labs, the team behind NEAR Intents, the universal liquidity protocol for on-chain markets and tokenized assets. With a PhD in Applied Physics, Alex Shevchenko 🇺🇦 has been building blockchain infrastructure since 2015 and helped launch Rainbow Bridge, Aurora, and NEAR Intents. Today, NEAR Intents’ infrastructure handles the majority of cross-chain trading volume outside same-asset transfers. •Why blockchain fragmentation is crypto's biggest obstacle to mainstream adoption •How NEAR Intents creates a universal liquidity layer across blockchains •What a fully agentic economy actually looks like and why AI agents will need their own financial infrastructure •Why open AI models are catching up to Big Tech and why personal AI could become the future •Why nearly $16 trillion in real-world assets (RWAs) could be tokenized by 2030 and why interoperability will be critical •How NEAR's ~$79 million in daily volume generates an average of ~$158,000 in daily $NEAR buybacks •Near's Confidential Intents: private cross-chain trading using a private shard and trusted execution environments (TEEs) •Why the CLARITY Act could accelerate institutional adoption and bring new capital into crypto •Why $470 billion worth of Bitcoin is exposed to quantum attacks and how NEAR Protocol is preparing with post-quantum cryptography Remember to subscribe and hit the bell "🔔" icon to get notifications. Check out my favorite privacy coin, Zano and follow Zano for updates. You can buy Zano seamlessly on MEXC using a VPN, or browse the full list of exchanges where Zano is available here: You can also find educational content, tutorials, and interviews on the official Zano YouTube Channel: 0:00 Alex's Journey from Applied Physics 2:25 The Origin Story Behind NEAR Intents & Cross-Chain Infrastructure 4:14 Blockchain Fragmentation: Liquidity, Markets & Why Crypto Still Feels Broken 8:59 How NEAR Intents Work Under the Hood (Chain Signatures, Settlement & Self-Custody) 12:52 Building the Financial Backbone of the Agentic Economy (MPP, AI & NEAR's Vision) 16:58 When Will the Agentic Economy Arrive? Alex's Prediction 18:16 Distillation & Open vs Closed AI Models 24:32 NEAR AI: Private Inference & Running AI Without Giving Up Your Data 25:31 $80M Daily Volume, $NEAR Buybacks & Tokenomics 29:41 Why RWAs Need NEAR Intents 33:37 The Agentic Economy Explained: Cross-Agent Interactions 37:17 AI Will Disrupt Subscription Models: The Case for Agentic Micropayments 40:00 Why Privacy Matters: Zano 42:02 Confidential Intents Explained 47:53 Why the CLARITY Act Could Unlock Institutional Capital for Crypto 51:29 Quantum Computing Threats & How NEAR Is Preparing with Post-Quantum Cryptography NEAR Protocol NEAR AI NEAR Mobile | Wallet & DEX
56:44

How NEAR Intents are Solving Crypto's Biggest Problems | Free the Money Ep. 36 Alex Shevchenko is the Co-founder and CEO of Aurora Labs and Defuse Labs, the team behind NEAR Intents, the universal liquidity protocol for on-chain markets and tokenized assets. With a PhD in Applied Physics, Alex Shevchenko 🇺🇦 has been building blockchain infrastructure since 2015 and helped launch Rainbow Bridge, Aurora, and NEAR Intents. Today, NEAR Intents’ infrastructure handles the majority of cross-chain trading volume outside same-asset transfers. •Why blockchain fragmentation is crypto's biggest obstacle to mainstream adoption •How NEAR Intents creates a universal liquidity layer across blockchains •What a fully agentic economy actually looks like and why AI agents will need their own financial infrastructure •Why open AI models are catching up to Big Tech and why personal AI could become the future •Why nearly $16 trillion in real-world assets (RWAs) could be tokenized by 2030 and why interoperability will be critical •How NEAR's ~$79 million in daily volume generates an average of ~$158,000 in daily $NEAR buybacks •Near's Confidential Intents: private cross-chain trading using a private shard and trusted execution environments (TEEs) •Why the CLARITY Act could accelerate institutional adoption and bring new capital into crypto •Why $470 billion worth of Bitcoin is exposed to quantum attacks and how NEAR Protocol is preparing with post-quantum cryptography Remember to subscribe and hit the bell "🔔" icon to get notifications. Check out my favorite privacy coin, Zano and follow Zano for updates. You can buy Zano seamlessly on MEXC using a VPN, or browse the full list of exchanges where Zano is available here: You can also find educational content, tutorials, and interviews on the official Zano YouTube Channel: 0:00 Alex's Journey from Applied Physics 2:25 The Origin Story Behind NEAR Intents & Cross-Chain Infrastructure 4:14 Blockchain Fragmentation: Liquidity, Markets & Why Crypto Still Feels Broken 8:59 How NEAR Intents Work Under the Hood (Chain Signatures, Settlement & Self-Custody) 12:52 Building the Financial Backbone of the Agentic Economy (MPP, AI & NEAR's Vision) 16:58 When Will the Agentic Economy Arrive? Alex's Prediction 18:16 Distillation & Open vs Closed AI Models 24:32 NEAR AI: Private Inference & Running AI Without Giving Up Your Data 25:31 $80M Daily Volume, $NEAR Buybacks & Tokenomics 29:41 Why RWAs Need NEAR Intents 33:37 The Agentic Economy Explained: Cross-Agent Interactions 37:17 AI Will Disrupt Subscription Models: The Case for Agentic Micropayments 40:00 Why Privacy Matters: Zano 42:02 Confidential Intents Explained 47:53 Why the CLARITY Act Could Unlock Institutional Capital for Crypto 51:29 Quantum Computing Threats & How NEAR Is Preparing with Post-Quantum Cryptography NEAR Protocol NEAR AI NEAR Mobile | Wallet & DEX

Bri Teresi

159,285 Aufrufe • vor 4 Tagen

🚨 New show. First episode. CHAOS IS COMING! My new podcast Coded For Chaos drops next week. Raw, no-BS conversations with the builders operating at the bleeding edge of cybersecurity, AI, and national security. No hype. No fluff. Just the truth from the people shaping what’s next. First guest: Kevin Tian, co-founder and CEO of Doppel He’s taking on one of the dirtiest problems in security: stopping fakes, fraud, and impersonation at internet scale. We dig into: -Why online trust is broken, and who’s getting crushed by it -How Doppel hunts threat actors across platforms -What it actually takes to build in this fightThis one hits hard. Teaser drops now, full episode next week
2:29

🚨 New show. First episode. CHAOS IS COMING! My new podcast Coded For Chaos drops next week. Raw, no-BS conversations with the builders operating at the bleeding edge of cybersecurity, AI, and national security. No hype. No fluff. Just the truth from the people shaping what’s next. First guest: Kevin Tian, co-founder and CEO of Doppel He’s taking on one of the dirtiest problems in security: stopping fakes, fraud, and impersonation at internet scale. We dig into: -Why online trust is broken, and who’s getting crushed by it -How Doppel hunts threat actors across platforms -What it actually takes to build in this fightThis one hits hard. Teaser drops now, full episode next week

Hank Thomas

15,000 Aufrufe • vor 1 Jahr

the legends at Soon and I have been on a mission to find the most jacked AI researcher and we think that Liam Fedus, co-creator of ChatGPT and co-founder of Periodic Labs might be it. check out the latest episode of Swole as a Service where he totally framemogs me while discussing whether or not AI will replace scientists 00:21 Who is Liam Fedus? 01:21 Lying skull crushers & will AI replace scientists? 03:05 Barbell curls, Jayden’s fitness tips, & why build an AI scientist now? 05:17 Hammer curls & is the singularity imminent? 07:43 Sleds & is the permanent underclass meme real? 08:37 Chestmaxxer Challenge & why hasn’t AI cured all diseases?
10:46

the legends at Soon and I have been on a mission to find the most jacked AI researcher and we think that Liam Fedus, co-creator of ChatGPT and co-founder of Periodic Labs might be it. check out the latest episode of Swole as a Service where he totally framemogs me while discussing whether or not AI will replace scientists 00:21 Who is Liam Fedus? 01:21 Lying skull crushers & will AI replace scientists? 03:05 Barbell curls, Jayden’s fitness tips, & why build an AI scientist now? 05:17 Hammer curls & is the singularity imminent? 07:43 Sleds & is the permanent underclass meme real? 08:37 Chestmaxxer Challenge & why hasn’t AI cured all diseases?

atlas

160,187 Aufrufe • vor 4 Monaten

In the second episode of Scenius Studio's mini-series "The Use-Case", I sit down with Andrej Co-Founder of touch grass. Grass gives users the ability to earn ownership in the Grass network by supplying the protocol with their unused internet bandwidth for data scraping purposes (something that is already happening to most of us and we don’t get paid!). The grass protocol packages this scraped web data and sells it to AI companies who have insufficient data to further develop their models. With over 3 millions users and millions of annualized revenue, Grass is a real commercial business with a roadmap that makes it one of the most exciting projects at the intersection of crypto x AI and data. In this episode we discuss: ➔ Andrej’s background in physics, finance, and sports betting ➔ Big companies using your IP address without your knowledge or permission ➔ How the Grass protocol puts a toll booth on your internet bandwidth highway ➔ Packaging web scraped data and selling it to AI companies building Multi-Modal models ➔ Dynamics between the Grass Protocol and the labs entity developing Grass’ IP ➔ Protocol design decisions to ensure that all tokenholders (VCs, team, and community) are aligned ➔ Why Grass needed to be built on crypto rails to maximize its potential ➔ The future of LLMs and how they will search for context and information Hope you enjoy this episode of Scenius Studio's "The Use-Case". Links to listen in bio or below👇
1:12

In the second episode of Scenius Studio's mini-series "The Use-Case", I sit down with Andrej Co-Founder of touch grass. Grass gives users the ability to earn ownership in the Grass network by supplying the protocol with their unused internet bandwidth for data scraping purposes (something that is already happening to most of us and we don’t get paid!). The grass protocol packages this scraped web data and sells it to AI companies who have insufficient data to further develop their models. With over 3 millions users and millions of annualized revenue, Grass is a real commercial business with a roadmap that makes it one of the most exciting projects at the intersection of crypto x AI and data. In this episode we discuss: ➔ Andrej’s background in physics, finance, and sports betting ➔ Big companies using your IP address without your knowledge or permission ➔ How the Grass protocol puts a toll booth on your internet bandwidth highway ➔ Packaging web scraped data and selling it to AI companies building Multi-Modal models ➔ Dynamics between the Grass Protocol and the labs entity developing Grass’ IP ➔ Protocol design decisions to ensure that all tokenholders (VCs, team, and community) are aligned ➔ Why Grass needed to be built on crypto rails to maximize its potential ➔ The future of LLMs and how they will search for context and information Hope you enjoy this episode of Scenius Studio's "The Use-Case". Links to listen in bio or below👇

Ben Jacobs

22,458 Aufrufe • vor 1 Jahr