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Today on MCG $DREGG | Dragon’s Egg w/cmr://ember Distributed zero-knowledge object capability houyhnhnm computing Key moments from the segment: 03:12 - The pace of the build 04:15 - Dregg is a capability-token system modeled on "Macaroons," private distributed authorization 06:13 - Extend OS primitives off the CPU and into...

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Today on MCG: Yannik Schrade (ARX MODE) |Co-Founder + CEO Arcium ☂️ | $ARX (Not Live Yet) Arcium is the confidential computing network built on Solana that lets any blockchain or AI application add encrypted privacy Highlights from our conversation include: 01:48 - Yannik's background 03:12 - The privacy thesis 08:02 - The shift from "privacy = hide data" to "privacy = compute over data without seeing it" 09:04 - The big pivot 15:58 - Web 2 enterprise customers already using Arcium for confidential AI 16:59 - The acquisition 21:04 - Why $ARX will be required for the network 22:30 - Multi-trillion $ TAM 24:33 - US regulators in favor of privacy 37:32 - Mainnet Alpha metrics 40:37 - Revenue breakdown 43:08 - TGE confirmed coupled with mainnet launch
52:15

Today on MCG: Yannik Schrade (ARX MODE) |Co-Founder + CEO Arcium ☂️ | $ARX (Not Live Yet) Arcium is the confidential computing network built on Solana that lets any blockchain or AI application add encrypted privacy Highlights from our conversation include: 01:48 - Yannik's background 03:12 - The privacy thesis 08:02 - The shift from "privacy = hide data" to "privacy = compute over data without seeing it" 09:04 - The big pivot 15:58 - Web 2 enterprise customers already using Arcium for confidential AI 16:59 - The acquisition 21:04 - Why $ARX will be required for the network 22:30 - Multi-trillion $ TAM 24:33 - US regulators in favor of privacy 37:32 - Mainnet Alpha metrics 40:37 - Revenue breakdown 43:08 - TGE confirmed coupled with mainnet launch

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Today on MCG: Chris Gilbert | Pod the Squire | | $SQUIRE $SQUIRE is the token tied to a two-sided AI inference marketplace where token holders get free daily inference they can resell on chain. Compute world order. Highlights from our chat: 03:25 - The brain behind this operation 06:11 - The UsePod thesis 13:55 - Why Solana? 18:34 - AI compute as a futures market (oil futures analogy) 24:42 - Long term compute deals actively settling 28:43 - 11x week-over-week growth in token usage 33:50 - Token holders may get direct equity exposure 37:43 - Almost half a billion tokens spent on UsePod this week alone 40:05 - 6 MONSTER partnerships announced last week 41:10 - Interest from industry leaders
49:22

Today on MCG: Chris Gilbert | Pod the Squire | | $SQUIRE $SQUIRE is the token tied to a two-sided AI inference marketplace where token holders get free daily inference they can resell on chain. Compute world order. Highlights from our chat: 03:25 - The brain behind this operation 06:11 - The UsePod thesis 13:55 - Why Solana? 18:34 - AI compute as a futures market (oil futures analogy) 24:42 - Long term compute deals actively settling 28:43 - 11x week-over-week growth in token usage 33:50 - Token holders may get direct equity exposure 37:43 - Almost half a billion tokens spent on UsePod this week alone 40:05 - 6 MONSTER partnerships announced last week 41:10 - Interest from industry leaders

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Today on MCG $KARMA | Karma w/Amrix Karma started as a Solana neobank (USDC to IBAN, turning crypto into a real-world spendable balance), then evolved into a trading app with a social layer where users publish theses and get paid when others trade on them. He's now migrated to Robinhood Chain via Virtuals, relaunched the token on the ACF model, and committed 100% of swap revenue to the token for the first 90 days. Highlights: 01:04 - The journey 02:33 - The accidental launch 05:52 - Test everything, pivot on the data, "find where the money is made on chain" 06:17 - The neobank v1 09:43 - The last-click thesis 13:48 - Why Virtuals Protocol is everything Believe wasn't 18:42 - The ACF adoption 19:20 - Robinhood Crypto makes RWAs liquid, Karma is the accessibility layer that lets you spend them 22:17 - 100% of swap revenue for 90 days, 95% of in-app swaps to buy $KARMA back 25:00 - Building in public
29:01

Today on MCG $KARMA | Karma w/Amrix Karma started as a Solana neobank (USDC to IBAN, turning crypto into a real-world spendable balance), then evolved into a trading app with a social layer where users publish theses and get paid when others trade on them. He's now migrated to Robinhood Chain via Virtuals, relaunched the token on the ACF model, and committed 100% of swap revenue to the token for the first 90 days. Highlights: 01:04 - The journey 02:33 - The accidental launch 05:52 - Test everything, pivot on the data, "find where the money is made on chain" 06:17 - The neobank v1 09:43 - The last-click thesis 13:48 - Why Virtuals Protocol is everything Believe wasn't 18:42 - The ACF adoption 19:20 - Robinhood Crypto makes RWAs liquid, Karma is the accessibility layer that lets you spend them 22:17 - 100% of swap revenue for 90 days, 95% of in-app swaps to buy $KARMA back 25:00 - Building in public

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Today on MCG $AgenC | AGENC w/tetsuo acidburn AgenC is building the rails for agent work on Solana Highlights from our convo: 02:24 - The pitch 05:23 - C programming language, 600K+ lines built around Grok from the last cycle 07:02 - The team behind $AgenC 08:16 - Where the $250K in funding is going 09:58 - The core loop 11:36 - Live traction 15:00 - The TAM framing 16:52 - The one-person-company thesis 23:06 - The hardware play 37:48 - Business model: 5% protocol fee on each completed task, rest split worker/operator/referrer 41:44 - Token mechanics: buybacks and locks, a percentage of protocol fees flow back, "add value, don't extract"
46:07

Today on MCG $AgenC | AGENC w/tetsuo acidburn AgenC is building the rails for agent work on Solana Highlights from our convo: 02:24 - The pitch 05:23 - C programming language, 600K+ lines built around Grok from the last cycle 07:02 - The team behind $AgenC 08:16 - Where the $250K in funding is going 09:58 - The core loop 11:36 - Live traction 15:00 - The TAM framing 16:52 - The one-person-company thesis 23:06 - The hardware play 37:48 - Business model: 5% protocol fee on each completed task, rest split worker/operator/referrer 41:44 - Token mechanics: buybacks and locks, a percentage of protocol fees flow back, "add value, don't extract"

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I gave everything away. My entire vending system that makes me $25,000/month profit. Here's my step-by-step process (& how you can copy me with only $117): Timestamps: 00:00 - Start 00:48 - From airport idea to vending empire 01:23 - Scale of operations 02:06 - The team 02:40 - “Traditional machines are dead!” 03:41 - Startup costs and funding 04:08 - Going all in… with nothing 04:37 - Thank God for YouTube! 05:18 - Smart machine demo 06:37 - Picking the right products 07:32 - Revenue breakdown 09:09 - What you (really) need to start 09:55 - Fan blitz 11:52 - The Micromart 12:15 - Location is everything 13:22 - Secure locations (the smart way!) 14:29 - A foolproof hack 15:17 - No traffic, no traction 15:59 - Cheap isn’t always better 16:54 - Basement setup 17:24 - Pricing dynamics 18:01 - Working one hour a week?! 18:40 - Overhead and margins 20:10 - Micro market vending 21:11 - AI tech is the future 22:08 - Setup costs 22:39 - Benefits of mentorship 23:10 - All about AI tech 24:55 - Insights and analytics 25:41 - Making the full-time leap 26:37 - Don’t buy a machine yet! 27:11 - Vending improves the experience 28:13 - Old vs. New 28:36 - Humans buy from humans 29:23 - Sneaky fees to prep for 30:00 - Leverage “incidentals” 31:08 - Fast-track your way up 32:16 - Vending routes aren’t for everyone 34:07 - Outro
34:21

I gave everything away. My entire vending system that makes me $25,000/month profit. Here's my step-by-step process (& how you can copy me with only $117): Timestamps: 00:00 - Start 00:48 - From airport idea to vending empire 01:23 - Scale of operations 02:06 - The team 02:40 - “Traditional machines are dead!” 03:41 - Startup costs and funding 04:08 - Going all in… with nothing 04:37 - Thank God for YouTube! 05:18 - Smart machine demo 06:37 - Picking the right products 07:32 - Revenue breakdown 09:09 - What you (really) need to start 09:55 - Fan blitz 11:52 - The Micromart 12:15 - Location is everything 13:22 - Secure locations (the smart way!) 14:29 - A foolproof hack 15:17 - No traffic, no traction 15:59 - Cheap isn’t always better 16:54 - Basement setup 17:24 - Pricing dynamics 18:01 - Working one hour a week?! 18:40 - Overhead and margins 20:10 - Micro market vending 21:11 - AI tech is the future 22:08 - Setup costs 22:39 - Benefits of mentorship 23:10 - All about AI tech 24:55 - Insights and analytics 25:41 - Making the full-time leap 26:37 - Don’t buy a machine yet! 27:11 - Vending improves the experience 28:13 - Old vs. New 28:36 - Humans buy from humans 29:23 - Sneaky fees to prep for 30:00 - Leverage “incidentals” 31:08 - Fast-track your way up 32:16 - Vending routes aren’t for everyone 34:07 - Outro

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38:29

From factories to products — everything is going onchain. ⚙️💻 John Dogru sat down with Zack @ Genzio to unpack how 3DOS is creating a global network of connected 3D printers — the future of manufacturing is already here. 🖨️🔥 Full convo 👇 0:34 - What Is 3DOS 2:18 - How Many Printers Are In The Network 3:29 - The Web3 Component 8:22 - The Last Two Years 17:09 - Shipping & Logistics 21:11 - The 5-Year Roadmap 23:45 - Why TOKEN2049 25:19 - Does The Community Want A Token? 32:58 - Blockchain Maturing 34:16 - Zack’s Take On 3DOS

3DOS | Decentralized Manufacturing Network

98,422 görüntüleme • 9 ay önce

A Real Insurrection Is Happening And It Needs To Be Stopped TIMESTAMPS 00:00 - 00:25 Opening 03:17 - 32:12 A Real Insurrection Is Happening And It Needs To Be Stopped 35:11 - 40:20 An Update On The Mormon Church Shooting 40:21 - 46:01 Oregon Congresswoman Tries To Prove Portland Is Safe With One Photo 47:04 - 1:06:02 I Oppose Mass Immigration From The Arab World
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A Real Insurrection Is Happening And It Needs To Be Stopped TIMESTAMPS 00:00 - 00:25 Opening 03:17 - 32:12 A Real Insurrection Is Happening And It Needs To Be Stopped 35:11 - 40:20 An Update On The Mormon Church Shooting 40:21 - 46:01 Oregon Congresswoman Tries To Prove Portland Is Safe With One Photo 47:04 - 1:06:02 I Oppose Mass Immigration From The Arab World

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His Response to a $50k Loss Changed Everythying w/ amit. 00:00 The Tornado of Market Chaos 01:20 Amit's Journey into Investing 06:06 The Palantir Experience 08:23 Conviction in Investments 14:47 Robinhood and the GameStop Saga 19:03 Vlad Tenev: The Visionary Behind Robinhood 24:25 The Intensity of Palantir's Leadership 25:14 Successful Investments Themes 28:04 Palantir's Unique Approach to Sales and Marketing 30:57 AI Alignment and Palantir's Role 35:34 Investing in AI and Market Sentiments 39:57 Infrastructure Plays and Nvidia's Dominance 46:00 Market Participation Is A Must
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His Response to a $50k Loss Changed Everythying w/ amit. 00:00 The Tornado of Market Chaos 01:20 Amit's Journey into Investing 06:06 The Palantir Experience 08:23 Conviction in Investments 14:47 Robinhood and the GameStop Saga 19:03 Vlad Tenev: The Visionary Behind Robinhood 24:25 The Intensity of Palantir's Leadership 25:14 Successful Investments Themes 28:04 Palantir's Unique Approach to Sales and Marketing 30:57 AI Alignment and Palantir's Role 35:34 Investing in AI and Market Sentiments 39:57 Infrastructure Plays and Nvidia's Dominance 46:00 Market Participation Is A Must

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48,042 görüntüleme • 9 ay önce

춤 챌린지 모음 #윈터 #WINTER 00:00 Kick Back 00:17 Weekend 00:38 Second 01:02 Sparkling 01:23 Sneakers 01:35 Candy 01:55 야야야 02:08 Unforgiven 02:25 Movie Star 02:34 이프푸 02:55 Hard 03:20 최애의 아이 03:37 Vujade 03:53 It is what it is 04:06 Get A Guitar 04:16 INVITATION 04:25 Guilty 05:10 Fact Check 05:34 Maniac 05:56 WOP 06:13 Chill Kill 06:34 Trance x I Know 06:45 Sweet Venom 07:03 Siren 07:16 Hot & Cold 07:41 Rockin' Around The Pole Again 08:03 Underneath the Tree 08:21 Be There For Me 08:42 뭣 같아 08:54 UNTOUCHABLE 09:09 Two Of Hearts 09:19 Boyfriend 09:42 Nee, 09:59 움파룸파 10:17 사랑스러워 10:38 Like I Do 10:53 Like I Do (골댕이ver.) 11:08 민정이가 저장해놓은.. 11:29 갈매기.. 11:45 날 바라바라봐 12:01 GGB 12:12 홀씨 12:56 시나모롤 13:10 띵띵땅땅 13:26 EENIE MEENIE 13:47 How Sweet
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춤 챌린지 모음 #윈터 #WINTER 00:00 Kick Back 00:17 Weekend 00:38 Second 01:02 Sparkling 01:23 Sneakers 01:35 Candy 01:55 야야야 02:08 Unforgiven 02:25 Movie Star 02:34 이프푸 02:55 Hard 03:20 최애의 아이 03:37 Vujade 03:53 It is what it is 04:06 Get A Guitar 04:16 INVITATION 04:25 Guilty 05:10 Fact Check 05:34 Maniac 05:56 WOP 06:13 Chill Kill 06:34 Trance x I Know 06:45 Sweet Venom 07:03 Siren 07:16 Hot & Cold 07:41 Rockin' Around The Pole Again 08:03 Underneath the Tree 08:21 Be There For Me 08:42 뭣 같아 08:54 UNTOUCHABLE 09:09 Two Of Hearts 09:19 Boyfriend 09:42 Nee, 09:59 움파룸파 10:17 사랑스러워 10:38 Like I Do 10:53 Like I Do (골댕이ver.) 11:08 민정이가 저장해놓은.. 11:29 갈매기.. 11:45 날 바라바라봐 12:01 GGB 12:12 홀씨 12:56 시나모롤 13:10 띵띵땅땅 13:26 EENIE MEENIE 13:47 How Sweet

취향의 윈터

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E125: evan.sui: Building the AWS of the decentralized future Evan Cheng is the CoFounder & CEO of MystenLabs.sui, the company behind the Sui and Walrus 🦭/acc We cover: • Why every crypto project has failed at decentralization • The real story behind Facebook's crypto shutdown • Starting a company at 50 and managing 5 co-founders • Building infrastructure that businesses actually want • Why they believe they've cracked what crypto couldn't And much, much more... Timestamps 0:00 Introduction 2:06 Partnerships: Jupiter, KAST (old), , Mantle, Forza! BTC 2:55 The Problem With Centralization 7:23 Why Ethereum Is Centralizing 12:35 Who is Evan Cheng? 13:15 Self Custody with Trezor 14:08 Timing a 20-Year Vision 15:11 Motivation From Being Ignored 19:31 Giving Everyone Real Agency 20:45 High Agency Person 22:47 Proving Skeptics Wrong 26:51 Nothing Has Truly Won 27:55 Cryptocurrencies Fascination 29:29 Lessons Learned From Novi 35:17 Starting a Company at 50 40:09 Why I Became the CEO 41:22 Challenges of a CEO 42:14 Not Destiny, Just Conviction 44:03 What is Mysten Labs? 45:51 Five Unmanageable Founders 48:11 How Five Co-Founders Work 54:02 What is SUI Network? 55:19 Is SUI the Next SOL? 56:50 Progress on Big Vision 59:55 Decentralized Business Potential 1:04:06 Proud, But Never Satisfied 1:06:34 What Truly Makes Me Happy 1:08:13 Non-Consensus Beliefs 1:09:17 Prediction for the Next 12 Months 1:13:10 Concluding Remarks
1:13:38

E125: evan.sui: Building the AWS of the decentralized future Evan Cheng is the CoFounder & CEO of MystenLabs.sui, the company behind the Sui and Walrus 🦭/acc We cover: • Why every crypto project has failed at decentralization • The real story behind Facebook's crypto shutdown • Starting a company at 50 and managing 5 co-founders • Building infrastructure that businesses actually want • Why they believe they've cracked what crypto couldn't And much, much more... Timestamps 0:00 Introduction 2:06 Partnerships: Jupiter, KAST (old), , Mantle, Forza! BTC 2:55 The Problem With Centralization 7:23 Why Ethereum Is Centralizing 12:35 Who is Evan Cheng? 13:15 Self Custody with Trezor 14:08 Timing a 20-Year Vision 15:11 Motivation From Being Ignored 19:31 Giving Everyone Real Agency 20:45 High Agency Person 22:47 Proving Skeptics Wrong 26:51 Nothing Has Truly Won 27:55 Cryptocurrencies Fascination 29:29 Lessons Learned From Novi 35:17 Starting a Company at 50 40:09 Why I Became the CEO 41:22 Challenges of a CEO 42:14 Not Destiny, Just Conviction 44:03 What is Mysten Labs? 45:51 Five Unmanageable Founders 48:11 How Five Co-Founders Work 54:02 What is SUI Network? 55:19 Is SUI the Next SOL? 56:50 Progress on Big Vision 59:55 Decentralized Business Potential 1:04:06 Proud, But Never Satisfied 1:06:34 What Truly Makes Me Happy 1:08:13 Non-Consensus Beliefs 1:09:17 Prediction for the Next 12 Months 1:13:10 Concluding Remarks

MR SHIFT 🦁

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Today on MCG: Luke ⟠ ⟠ ⟠ 🌾🌞⚔️ | Dolphin | $POD Dolphin is the leading uncensored AI model provider used by Venice, and they're now also building a distributed inference network running on idle consumer GPUs Highlights include: 02:25 - Luke's background 03:53 - Inception 09:23 - How they benchmark uncensored 18:00 - Reinforcement learning method 22:30 - 5M+ monthly downloads on Hugging Face 30:00 - The arbitrage thesis 33:00 - The peer-to-pool model 34:40 - Subnet partnerships on the way? 39:50 - Key metrics 41:00 - The NVIDIA moat 36:08 - $900K raised 2.5 years ago, pre-product seed, sustained on Venice $VVV revenue 45:31 - Rev + token structure
48:46

Today on MCG: Luke ⟠ ⟠ ⟠ 🌾🌞⚔️ | Dolphin | $POD Dolphin is the leading uncensored AI model provider used by Venice, and they're now also building a distributed inference network running on idle consumer GPUs Highlights include: 02:25 - Luke's background 03:53 - Inception 09:23 - How they benchmark uncensored 18:00 - Reinforcement learning method 22:30 - 5M+ monthly downloads on Hugging Face 30:00 - The arbitrage thesis 33:00 - The peer-to-pool model 34:40 - Subnet partnerships on the way? 39:50 - Key metrics 41:00 - The NVIDIA moat 36:08 - $900K raised 2.5 years ago, pre-product seed, sustained on Venice $VVV revenue 45:31 - Rev + token structure

MCG

13,574 görüntüleme • 2 ay önce

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack
1:05:15

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack

Matt Turck

11,908 görüntüleme • 2 ay önce

Based Show: Internet Capital Markets & the Future of Tokenization Sahib X Mercy (aka ‘ICM Guy’) [Founder ICM.RUN ] 00:00 – Intro 00:22 – Rise of Internet Capital Markets 00:59 – What Is ICM & Why It Matters 02:07 – Tokenization Explained Simply 03:39 – Web2 Founders Entering Tokenization 04:55 – Legal Clarity & SEC Shifts 06:03 – Tokenization No Longer a Security 07:06 – Building Community Around ICM 08:21 – Tokenizing the Incubator 09:16 – ICM Run’s Market Impact 10:41 – Selecting Mentors & Advisors 12:09 – Science + Luck in Token Launches 15:22 – Post-TGE Support & Founder Focus 16:03 – Why ICM Builds on Solana 17:11 – Revenue-Driven Protocols & Pump Fund 18:00 – Solana’s Dominance & Ecosystem Growth 21:24 – Community, Memes & Culture in Web3 23:30 – Distribution & Relationships in Token Launches 27:12 – Patience & Forgiveness for Innovators 29:08 – Culture, Branding & Token Success 32:06 – Tokenizing Real Businesses 37:27 – Bringing Private Assets On-Chain 39:29 – The Green Zone: Institutions Entering Web3 41:11 – Prediction Markets & Regulatory Bets 42:38 – ICM Coin Aggregators & Discovery Tools 42:56 – Closing Remarks
58:56

Based Show: Internet Capital Markets & the Future of Tokenization Sahib X Mercy (aka ‘ICM Guy’) [Founder ICM.RUN ] 00:00 – Intro 00:22 – Rise of Internet Capital Markets 00:59 – What Is ICM & Why It Matters 02:07 – Tokenization Explained Simply 03:39 – Web2 Founders Entering Tokenization 04:55 – Legal Clarity & SEC Shifts 06:03 – Tokenization No Longer a Security 07:06 – Building Community Around ICM 08:21 – Tokenizing the Incubator 09:16 – ICM Run’s Market Impact 10:41 – Selecting Mentors & Advisors 12:09 – Science + Luck in Token Launches 15:22 – Post-TGE Support & Founder Focus 16:03 – Why ICM Builds on Solana 17:11 – Revenue-Driven Protocols & Pump Fund 18:00 – Solana’s Dominance & Ecosystem Growth 21:24 – Community, Memes & Culture in Web3 23:30 – Distribution & Relationships in Token Launches 27:12 – Patience & Forgiveness for Innovators 29:08 – Culture, Branding & Token Success 32:06 – Tokenizing Real Businesses 37:27 – Bringing Private Assets On-Chain 39:29 – The Green Zone: Institutions Entering Web3 41:11 – Prediction Markets & Regulatory Bets 42:38 – ICM Coin Aggregators & Discovery Tools 42:56 – Closing Remarks

Sahib

16,511 görüntüleme • 9 ay önce

She literally explained how her $100M AI startup runs completely out of an operating system in Claude Code: 2:04 - The Company OS GitHub structure 5:40 - The 1% vs 99% problem 9:00 - 3 steps to build your own Company OS 12:30 - Slack automation demo: feature request triage 14:31 - Playbook to agent pipeline 22:51 - Company culture needed 29:02 - PMs shipping front-end + back-end 29:44 - The captain model explained 32:37 - Continuation to captain model 37:38 - Two-track product reviews 50:08 - The AI Ops team and the Sasha model 57:59 - The screen-share interview 59:01 - The 4 levels of AI maturity
1:07:58

She literally explained how her $100M AI startup runs completely out of an operating system in Claude Code: 2:04 - The Company OS GitHub structure 5:40 - The 1% vs 99% problem 9:00 - 3 steps to build your own Company OS 12:30 - Slack automation demo: feature request triage 14:31 - Playbook to agent pipeline 22:51 - Company culture needed 29:02 - PMs shipping front-end + back-end 29:44 - The captain model explained 32:37 - Continuation to captain model 37:38 - Two-track product reviews 50:08 - The AI Ops team and the Sasha model 57:59 - The screen-share interview 59:01 - The 4 levels of AI maturity

Aakash Gupta

386,576 görüntüleme • 1 ay önce

Today on MCG: Logan from Nockchain | $NOCK Nockchain is a PoW blockchain whose mining produces zk proofs of state transitions rather than discarded hashes. The energy that secures the chain also subsidizes a global market for verifiable compute. Topics covered on stream: 01:11 - Kraken listing 04:11 - Logan's background 11:50 - Useful proof-of-work is broader than AI 12:24 - Helium🎈 parallel 14:51 - Nockchain's foundation is "real hard money secured by proof of useful work" 16:01 - AI compute network launches early July, will verify matrix multiplications for inference work 17:09 - Data centers only use hardware 35-45% of the time...what is the rest used for? 18:25 - "They're mining crypto" 22:55 - Nockchain's AI compute network will be merge-mineable with Pearl Research Labs 25:05 - GTM thesis 30:55 - 10,000-20,000 consumer GPUs on the network at any given time 31:38 - Projecting 5-10x more compute on the network this time next year 32:01 - Funding 35:50 - "Proof of work is the only DAO that works" 40:02 - Roadmap
49:38

Today on MCG: Logan from Nockchain | $NOCK Nockchain is a PoW blockchain whose mining produces zk proofs of state transitions rather than discarded hashes. The energy that secures the chain also subsidizes a global market for verifiable compute. Topics covered on stream: 01:11 - Kraken listing 04:11 - Logan's background 11:50 - Useful proof-of-work is broader than AI 12:24 - Helium🎈 parallel 14:51 - Nockchain's foundation is "real hard money secured by proof of useful work" 16:01 - AI compute network launches early July, will verify matrix multiplications for inference work 17:09 - Data centers only use hardware 35-45% of the time...what is the rest used for? 18:25 - "They're mining crypto" 22:55 - Nockchain's AI compute network will be merge-mineable with Pearl Research Labs 25:05 - GTM thesis 30:55 - 10,000-20,000 consumer GPUs on the network at any given time 31:38 - Projecting 5-10x more compute on the network this time next year 32:01 - Funding 35:50 - "Proof of work is the only DAO that works" 40:02 - Roadmap

MCG

26,314 görüntüleme • 1 ay önce

In 2014, Keller Cliffton Cliffton shut down his robotic toy startup to build a drone delivery network for life-saving medical supplies. Everyone said it wouldn’t work. Today, Zipline delivers for hospitals around the world. Now it’s reinventing how delivery works with Platform 2 - starting with Walmart and Chipotle in the US. This is a story of betting everything to transform the world. Featuring Keenan Wyrobek, Ryan Oksenhorn, Maggie Jim, Alfred Lin Hosted by Roelof Botha 00:00 – Chewing Glass 00:55 – Discovering Entrepreneurship 02:00 – From Robots to Real Problems 03:00 – The Vision for Global Health Logistics 04:30 – Betting on Rwanda 06:00 – Building the System 08:00 – The First Flight 09:15 – Breakthrough and Scale 11:15 – The Moment of Validation 12:30 – Platform Two: A New Bet 14:15 – Seeing Is Believing 15:45 – The Next Frontier 16:30 – Never Giving Up
17:27

In 2014, Keller Cliffton Cliffton shut down his robotic toy startup to build a drone delivery network for life-saving medical supplies. Everyone said it wouldn’t work. Today, Zipline delivers for hospitals around the world. Now it’s reinventing how delivery works with Platform 2 - starting with Walmart and Chipotle in the US. This is a story of betting everything to transform the world. Featuring Keenan Wyrobek, Ryan Oksenhorn, Maggie Jim, Alfred Lin Hosted by Roelof Botha 00:00 – Chewing Glass 00:55 – Discovering Entrepreneurship 02:00 – From Robots to Real Problems 03:00 – The Vision for Global Health Logistics 04:30 – Betting on Rwanda 06:00 – Building the System 08:00 – The First Flight 09:15 – Breakthrough and Scale 11:15 – The Moment of Validation 12:30 – Platform Two: A New Bet 14:15 – Seeing Is Believing 15:45 – The Next Frontier 16:30 – Never Giving Up

Sequoia Capital

1,340,956 görüntüleme • 9 ay önce

capability != learning new benchtalks with Parth Asawa on continual learning, where we discuss teaching models to learn from experience, measuring learning ability, the bet on parametric models, and more 01:06 What is continual learning? 04:10 Why capability and learning are different 06:13 Why build a benchmark? 08:07 Continual Learning Bench launch and reception 09:13 Anthropic's Fable release and Continual Learning Bench 11:02 How to design tasks for continual learning 18:41 The gain metric 24:01 What good looks like on the leaderboard 29:13 Failure modes: why models can't update their beliefs 31:12 Parametric systems and future architectures 34:30 Open science and AI safety 45:42 Lightning round 49:08 How to contribute to Continual Learning Bench
50:35

capability != learning new benchtalks with Parth Asawa on continual learning, where we discuss teaching models to learn from experience, measuring learning ability, the bet on parametric models, and more 01:06 What is continual learning? 04:10 Why capability and learning are different 06:13 Why build a benchmark? 08:07 Continual Learning Bench launch and reception 09:13 Anthropic's Fable release and Continual Learning Bench 11:02 How to design tasks for continual learning 18:41 The gain metric 24:01 What good looks like on the leaderboard 29:13 Failure modes: why models can't update their beliefs 31:12 Parametric systems and future architectures 34:30 Open science and AI safety 45:42 Lightning round 49:08 How to contribute to Continual Learning Bench

vincent sunn chen

39,598 görüntüleme • 1 ay önce