Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Everything Context Engineering & Cookoff between dex, co-founder and CEO of humanlayer, and allen. 0:12 - Meet Dex Horthy (Humanlayer) + Cooking Challenge 1:15 - Tasting Dan Dan Noodles 1:25 - How Dex Got a NASA Internship at 17 3:36 - The Origin of “Context Engineering” 6:24 - What... show more

Latent.Space

28,493 subscribers

14,971 views • 3 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

🆕 No Vibes Allowed: Solving Hard Problems in Complex Codebases dex returns for the epic sequel to his viral talk on Context Engineering, sharing how to avoid slop and stay out of the dumb zone with Harness Engineering with TONs of practical advice/examples

🆕 No Vibes Allowed: Solving Hard Problems in Complex Codebases dex returns for the epic sequel to his viral talk on Context Engineering, sharing how to avoid slop and stay out of the dumb zone with Harness Engineering with TONs of practical advice/examples

AI Engineer

35,993 views • 6 months ago

This video by explains the fundamentals of context engineering in just 14 minutes. Context Engineering is effectively the #1 job of engineers building AI agents. do not sleep on it.

This video by explains the fundamentals of context engineering in just 14 minutes. Context Engineering is effectively the #1 job of engineers building AI agents. do not sleep on it.

ℏεsam

75,150 views • 11 months ago

Engineers need to communicate effectively when building AI Systems. These terms will help you use a shared vocabulary. This is useful when discussing concepts, reading papers, or collaborating with teammates. Listed in order. 00:00 Agenda 00:28 1. Large Language Model 01:28 2. Tokenization 02:53 3. Vectorization 04:15 4. Attention 07:22 5. Self-Supervised Learning 12:07 6. Transformer 14:32 7. Fine-tuning 17:05 8. Few-shot Prompting 18:11 9. Retrieval Augmented Generation 20:33 10. Vector Database 23:03 11. Model Context Protocol 25:43 12. Context Engineering 28:17 13. Agents 29:19 14. Reinforcement Learning 34:42 15. Chain of Thought 35:55 16. Reasoning Models 36:36 17. Multi-modal Models 38:21 18. Small Language Models 40:24 19. Distillation 41:47 20. Quantization If you are a software engineer looking to transition to AI, click the link below. AI Engineering Course: #AI #SoftwareEngineering #Agents

Engineers need to communicate effectively when building AI Systems. These terms will help you use a shared vocabulary. This is useful when discussing concepts, reading papers, or collaborating with teammates. Listed in order. 00:00 Agenda 00:28 1. Large Language Model 01:28 2. Tokenization 02:53 3. Vectorization 04:15 4. Attention 07:22 5. Self-Supervised Learning 12:07 6. Transformer 14:32 7. Fine-tuning 17:05 8. Few-shot Prompting 18:11 9. Retrieval Augmented Generation 20:33 10. Vector Database 23:03 11. Model Context Protocol 25:43 12. Context Engineering 28:17 13. Agents 29:19 14. Reinforcement Learning 34:42 15. Chain of Thought 35:55 16. Reasoning Models 36:36 17. Multi-modal Models 38:21 18. Small Language Models 40:24 19. Distillation 41:47 20. Quantization If you are a software engineer looking to transition to AI, click the link below. AI Engineering Course: #AI #SoftwareEngineering #Agents

Gaurav Sen

79,970 views • 9 months ago

8 months ago we started explaining enterprise AI on YouTube. 2M views later, here are the 5 shifts that actually defined 2025. Timestamps 00:36 Prompt Engineering → Agent Engineering 00:51 Prompting best practices 01:19 How context engineering focuses on curating information 01:51 Evolution of assistants to agents 02:12 Agents handling complex tasks 02:58 How security became foundational 03:36 The correct security architecture for organizations 04:23 The emergence of model flexibility 05:26 The importance of governance and trust

8 months ago we started explaining enterprise AI on YouTube. 2M views later, here are the 5 shifts that actually defined 2025. Timestamps 00:36 Prompt Engineering → Agent Engineering 00:51 Prompting best practices 01:19 How context engineering focuses on curating information 01:51 Evolution of assistants to agents 02:12 Agents handling complex tasks 02:58 How security became foundational 03:36 The correct security architecture for organizations 04:23 The emergence of model flexibility 05:26 The importance of governance and trust

Box

460,406 views • 6 months ago

How OpenAI made Codex The full episode with Alexander Embiricos is now live: Timestamps 0:00:00 Intro: Meet the Codex Team 0:00:21 Origin Story of Codex 0:15:03 How Users Are Adopting Codex: Surprising Patterns 0:36:38 Is AI Eating Software Engineering? 1:00:05 Building a Startup in the Age of AI Agents 1:07:58 Why Some Students Excel with AI Tools 1:10:56 Hiring at OpenAI: What Stands Out

How OpenAI made Codex The full episode with Alexander Embiricos is now live: Timestamps 0:00:00 Intro: Meet the Codex Team 0:00:21 Origin Story of Codex 0:15:03 How Users Are Adopting Codex: Surprising Patterns 0:36:38 Is AI Eating Software Engineering? 1:00:05 Building a Startup in the Age of AI Agents 1:07:58 Why Some Students Excel with AI Tools 1:10:56 Hiring at OpenAI: What Stands Out

Anjney Midha

31,764 views • 9 months ago

you might've heard about context engineering, but nobody has explained what it really is... that's why I made a full practical walkthrough on how to use it to make your AI outputs personalized and consistent in this walkthrough, I go over: – what context engineering actually is (without the jargon) – how to train AI on your own data and preferences – how to get outputs that sound like you wrote them (not generic AI) reply "context" and I'll DM it to you (must be following)

you might've heard about context engineering, but nobody has explained what it really is... that's why I made a full practical walkthrough on how to use it to make your AI outputs personalized and consistent in this walkthrough, I go over: – what context engineering actually is (without the jargon) – how to train AI on your own data and preferences – how to get outputs that sound like you wrote them (not generic AI) reply "context" and I'll DM it to you (must be following)

Tyler

20,004 views • 9 months ago

What is AI inference engineering, why is it such an in-demand skill, and how do you break into the field? With author of Inference Engineering Philip Kiely and head of training at Baseten Charlie O'Neill 0:00: What is inference? 2:47: History of inference 4:59: Downstream effects of AI research on inference 13:54: What you'll learn from Inference Engineering 16:14: Advice for engineers transitioning into AI 19:00: Open source models driving inference growth 20:55: Specialization vs. frontier closed models 23:51: "Big Token" and the importance of open source AI 27:18: Where to get Inference Engineering

What is AI inference engineering, why is it such an in-demand skill, and how do you break into the field? With author of Inference Engineering Philip Kiely and head of training at Baseten Charlie O'Neill 0:00: What is inference? 2:47: History of inference 4:59: Downstream effects of AI research on inference 13:54: What you'll learn from Inference Engineering 16:14: Advice for engineers transitioning into AI 19:00: Open source models driving inference growth 20:55: Specialization vs. frontier closed models 23:51: "Big Token" and the importance of open source AI 27:18: Where to get Inference Engineering

Madison Kanna

119,268 views • 2 months ago

Here's my conversation with Jeff Bezos, founder of Amazon and Blue Origin. This is his first time doing a long-form conversation of this kind, and it was an epic one. It's here on X in full & is up on YouTube, Spotify, and everywhere else. Timestamps: 0:00 - Introduction 0:24 - Texas ranch and childhood 4:02 - Space exploration and rocket engineering 16:36 - Physics 26:10 - New Glenn rocket 1:08:59 - Lunar program 1:18:55 - Amazon 1:36:16 - Principles 1:54:56 - Productivity 2:05:34 - Future of humanity

Here's my conversation with Jeff Bezos, founder of Amazon and Blue Origin. This is his first time doing a long-form conversation of this kind, and it was an epic one. It's here on X in full & is up on YouTube, Spotify, and everywhere else. Timestamps: 0:00 - Introduction 0:24 - Texas ranch and childhood 4:02 - Space exploration and rocket engineering 16:36 - Physics 26:10 - New Glenn rocket 1:08:59 - Lunar program 1:18:55 - Amazon 1:36:16 - Principles 1:54:56 - Productivity 2:05:34 - Future of humanity

Lex Fridman

3,212,286 views • 2 years ago

Amjad Masad (Amjad Masad), co-founder & CEO of Replit, has spent nearly a decade making programming accessible to everyone. With AI, that vision is closer than ever. In his AI Startup School talk, Amjad traces computing’s arc from mainframes to PCs to a future where AI agents generate software on demand—driving the value of traditional software toward zero and reshaping how companies are built. 00:22 - Evolution of Computing 01:27 - The Rise of Software Engineering 02:16 - Replit's Vision: Making Programming Accessible 02:42 - The Role of AI in Software Development 04:32 - Challenges and Infrastructure for AI Agents 05:03 - Building a Scalable and Secure Environment 06:08 - Future of Software Engineering Agents 09:25 - Autonomy Levels in AI Agents 15:56 - Predictions for the Software Market 18:31 - Impact on Business and Employment 19:58 - The Role of Generalist Employees 26:00 - Audience Q&A

Amjad Masad (Amjad Masad), co-founder & CEO of Replit, has spent nearly a decade making programming accessible to everyone. With AI, that vision is closer than ever. In his AI Startup School talk, Amjad traces computing’s arc from mainframes to PCs to a future where AI agents generate software on demand—driving the value of traditional software toward zero and reshaping how companies are built. 00:22 - Evolution of Computing 01:27 - The Rise of Software Engineering 02:16 - Replit's Vision: Making Programming Accessible 02:42 - The Role of AI in Software Development 04:32 - Challenges and Infrastructure for AI Agents 05:03 - Building a Scalable and Secure Environment 06:08 - Future of Software Engineering Agents 09:25 - Autonomy Levels in AI Agents 15:56 - Predictions for the Software Market 18:31 - Impact on Business and Employment 19:58 - The Role of Generalist Employees 26:00 - Audience Q&A

Y Combinator

224,320 views • 9 months ago

"We are clearly entering a world where a product-minded engineer is now empowered to produce software without writing a line of code for it." In this conversation, Temporal CEO Samar Abbas joins a16z GPs Sarah Wang and Raghu Raghuram to cover: - Why agents are going from short-lived and interactive to long-running and async - Why the engineer of the future manages 15 parallel AI tasks at once - How OpenAI Codex runs millions of concurrent agent executions on Temporal - How real-time context engineering is exploding on Temporal - Why SaaS isn't dead, and value is migrating to APIs 00:00 Introduction 04:03 Temporal's origin story 11:14 Why agents raise the stakes 16:00 Specialized agents need durable RPC 25:20 Deep research agents 30:58 Execution histories as a superpower 39:04 Minimal viable long-running agent architecture 45:07 Context engineering at scale 52:40 Where value accrues: The "five-layer cake" and breakout AI applications Samar Abbas Sarah Wang Raghu Raghuram

"We are clearly entering a world where a product-minded engineer is now empowered to produce software without writing a line of code for it." In this conversation, Temporal CEO Samar Abbas joins a16z GPs Sarah Wang and Raghu Raghuram to cover: - Why agents are going from short-lived and interactive to long-running and async - Why the engineer of the future manages 15 parallel AI tasks at once - How OpenAI Codex runs millions of concurrent agent executions on Temporal - How real-time context engineering is exploding on Temporal - Why SaaS isn't dead, and value is migrating to APIs 00:00 Introduction 04:03 Temporal's origin story 11:14 Why agents raise the stakes 16:00 Specialized agents need durable RPC 25:20 Deep research agents 30:58 Execution histories as a superpower 39:04 Minimal viable long-running agent architecture 45:07 Context engineering at scale 52:40 Where value accrues: The "five-layer cake" and breakout AI applications Samar Abbas Sarah Wang Raghu Raghuram

a16z

45,496 views • 4 months ago

Here's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution. This was a fascinating & inspiring conversation, in parts super-technical on engineering of every part of the AI stack, memory, power, supply chain (TSMC, ASML, etc), in parts about leadership & psychology, and in parts personal & philosophical about life, consciousness, mortality, and human nature. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:33 - Extreme co-design and rack-scale engineering 3:18 - How Jensen runs NVIDIA 22:40 - AI scaling laws 37:40 - Biggest blockers to AI scaling laws 39:23 - Supply chain 41:18 - Memory 47:24 - Power 52:43 - Elon and Colossus 56:11 - Jensen's approach to engineering and leadership 1:01:37 - China 1:09:50 - TSMC and Taiwan 1:15:04 - NVIDIA's moat 1:20:41 - AI data centers in space 1:24:30 - Will NVIDIA be worth $10 trillion? 1:34:39 - Leadership under pressure 1:48:25 - Video games 1:55:16 - AGI timeline 1:57:29 - Future of programming 2:11:01 - Consciousness 2:17:22 - Mortality

Here's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution. This was a fascinating & inspiring conversation, in parts super-technical on engineering of every part of the AI stack, memory, power, supply chain (TSMC, ASML, etc), in parts about leadership & psychology, and in parts personal & philosophical about life, consciousness, mortality, and human nature. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:33 - Extreme co-design and rack-scale engineering 3:18 - How Jensen runs NVIDIA 22:40 - AI scaling laws 37:40 - Biggest blockers to AI scaling laws 39:23 - Supply chain 41:18 - Memory 47:24 - Power 52:43 - Elon and Colossus 56:11 - Jensen's approach to engineering and leadership 1:01:37 - China 1:09:50 - TSMC and Taiwan 1:15:04 - NVIDIA's moat 1:20:41 - AI data centers in space 1:24:30 - Will NVIDIA be worth $10 trillion? 1:34:39 - Leadership under pressure 1:48:25 - Video games 1:55:16 - AGI timeline 1:57:29 - Future of programming 2:11:01 - Consciousness 2:17:22 - Mortality

Lex Fridman

2,522,173 views • 3 months ago

AI completely changes the way we can talk to data. Hex is leading the way by building collaborative, shareable analytics workspaces. I sat down with CEO Barry McCardel to discuss how agent workflows, conversational interfaces, and context-aware models are reshaping analysis. We cover how Hex aims to make everyone a data person by unifying analysis and AI in one workflow, how Hex is replacing outdated fragmented workflows, and the importance of trust and accuracy in AI systems. We also go over Hex’s awesome product launch videos, Barry’s emphasis on being fun and weird, and lessons he learned from Palantir. Enjoy! 0:00 The challenge of trustworthy data 1:19 Context management, observability, and governance 9:24 The promise and reality of data democratization 15:51 The impact of AI on data workflows 31:39 Breadth, depth, and speed: the three dimensions of AI in data 48:04 The rise of ambient analytics 55:56 The modern data stack and industry consolidation 1:03:40 Acquisitions and owning the data insight layer 1:06:06 Lessons from Palantir: forward-deployed engineering 1:13:13 Commitment engineering and customer collaboration 1:17:11 Brand, launch videos, and having fun in SaaS Barry McCardel Hex

Sarah Wang

41,746 views • 6 months ago

Introducing Dex: the self-driving workspace for operators. Dex is the first agent system with full operational context and a self-updating knowledge base. Every datapoint from your workspace is ingested, synced, and structured into compounding context for agents to take action. Comment "DEX" or tag Dex access. First 1,000 sign-ups get 7 days free. After, join our rolling waitlist. Sign up at joindex [dot] com for a fun surprise. How dex works (threads)

Introducing Dex: the self-driving workspace for operators. Dex is the first agent system with full operational context and a self-updating knowledge base. Every datapoint from your workspace is ingested, synced, and structured into compounding context for agents to take action. Comment "DEX" or tag Dex access. First 1,000 sign-ups get 7 days free. After, join our rolling waitlist. Sign up at joindex [dot] com for a fun surprise. How dex works (threads)

Regina Lin

68,640 views • 2 months ago

What if we're actually in the middle of the third golden age of software engineering? This is what Grady Booch sees happening. If you are anxious about the state of the industry, you want to watch/listen to Grady's longer-term perspective and stories. Watch the full episode here: 00:00 Intro 01:58 The first golden age of software engineering 18:59 The software crisis 33:01 The second golden age of software engineering 42:21 Y2K and the Dotcom crash 45:47 Early AI 47:34 The third golden age of software engineering 51:48 Why software engineers will very much be needed 58:46 Grady responds to Dario Amodei 1:06:54 New skills engineers will need to succeed 1:10:04 Resources for studying complex systems 1:14:33 How to thrive during periods of change Brought to you by: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review. Join me online at the Sonar Summit on March 3rd, where I talk about practical tactics for the AI era. • WorkOS – Everything you need to make your app enterprise-ready.

What if we're actually in the middle of the third golden age of software engineering? This is what Grady Booch sees happening. If you are anxious about the state of the industry, you want to watch/listen to Grady's longer-term perspective and stories. Watch the full episode here: 00:00 Intro 01:58 The first golden age of software engineering 18:59 The software crisis 33:01 The second golden age of software engineering 42:21 Y2K and the Dotcom crash 45:47 Early AI 47:34 The third golden age of software engineering 51:48 Why software engineers will very much be needed 58:46 Grady responds to Dario Amodei 1:06:54 New skills engineers will need to succeed 1:10:04 Resources for studying complex systems 1:14:33 How to thrive during periods of change Brought to you by: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review. Join me online at the Sonar Summit on March 3rd, where I talk about practical tactics for the AI era. • WorkOS – Everything you need to make your app enterprise-ready.

Gergely Orosz

86,872 views • 4 months ago

AI PM jobs pay $250K+. Here's your roadmap to break in, from the guy who teaches AI PM at Stanford, UCLA, and Maven: 1:21 - AI PM Salaries 9:13 - Live Demo: Agent + RAG 38:48 - Context Engineering vs Prompt Engineering 43:28 - Complete Roadmap: Zero to AI PM at Top Companies

AI PM jobs pay $250K+. Here's your roadmap to break in, from the guy who teaches AI PM at Stanford, UCLA, and Maven: 1:21 - AI PM Salaries 9:13 - Live Demo: Agent + RAG 38:48 - Context Engineering vs Prompt Engineering 43:28 - Complete Roadmap: Zero to AI PM at Top Companies

Aakash Gupta

16,026 views • 7 months ago

AI and crypto… How will these two powerful technologies collide, and what happens when they do? Today’s episode is a special one. It’s a round table on some of the most compelling ideas at the intersection of AI and crypto, sourced from members of the a16z crypto team. You’re going to hear from builders, researchers, and deal makers who are all wrestling with the big question: How will these two powerful technologies collide, and what happens when they do? with Sam Broner Scott Kominers Liz Harkavy Carra Wu jay mattg Timestamps: (0:00) Introduction (1:44) Universal Identity for AI Agents (5:25) Why Crypto Makes a Difference (10:07) Context in AI: Memory and Interoperability (15:00) Vibe Coding Applications (19:32) Registries with Global Context (21:47) Honkaku Mystery Novels (24:13) Monetization Models for AI x Crypto (28:36) Overcoming Technical Challenges (31:34) AI Agents and the Rise of Web Crawlers (36:05) Collapse of the Social Contract (39:21) AI Bots and Blockchain Solutions (44:31) Proof of Personhood: Ensuring Human-ness (50:41) Future of Personalized Advertising (1:01:54) Final Thoughts Enjoy the full episode here on X.

AI and crypto… How will these two powerful technologies collide, and what happens when they do? Today’s episode is a special one. It’s a round table on some of the most compelling ideas at the intersection of AI and crypto, sourced from members of the a16z crypto team. You’re going to hear from builders, researchers, and deal makers who are all wrestling with the big question: How will these two powerful technologies collide, and what happens when they do? with Sam Broner Scott Kominers Liz Harkavy Carra Wu jay mattg Timestamps: (0:00) Introduction (1:44) Universal Identity for AI Agents (5:25) Why Crypto Makes a Difference (10:07) Context in AI: Memory and Interoperability (15:00) Vibe Coding Applications (19:32) Registries with Global Context (21:47) Honkaku Mystery Novels (24:13) Monetization Models for AI x Crypto (28:36) Overcoming Technical Challenges (31:34) AI Agents and the Rise of Web Crawlers (36:05) Collapse of the Social Contract (39:21) AI Bots and Blockchain Solutions (44:31) Proof of Personhood: Ensuring Human-ness (50:41) Future of Personalized Advertising (1:01:54) Final Thoughts Enjoy the full episode here on X.

a16z crypto

20,772 views • 11 months ago

NEW PODCAST! Is Wix Stock Too Cheap To Ignore? $WIX w/ M. V. Cunha (00:00) Introduction (08:14) Understanding why Wix is down (17:36) Financial Engineering Moves (18:56) Q4 Results and Business Performance (24:05) AI Disruption Risks (31:13) The Rise of Base 44 (40:58) Wix's Resilience Against AI Disruption (48:24) Valuation Insights and Market Perception of Wix Follow the Chit Chat Stocks Podcast on YouTube, Spotify, and Apple Podcasts

NEW PODCAST! Is Wix Stock Too Cheap To Ignore? $WIX w/ M. V. Cunha (00:00) Introduction (08:14) Understanding why Wix is down (17:36) Financial Engineering Moves (18:56) Q4 Results and Business Performance (24:05) AI Disruption Risks (31:13) The Rise of Base 44 (40:58) Wix's Resilience Against AI Disruption (48:24) Valuation Insights and Market Perception of Wix Follow the Chit Chat Stocks Podcast on YouTube, Spotify, and Apple Podcasts

Chit Chat Stocks

58,377 views • 2 months ago

Software is eating labor & moats still matter: AI can do cheaply what has never been worth a person's time. Whole verticals have opened up, and unlike in previous product cycles, AI can actually complete work end-to-end. a16z GPs David Haber, Alex Rampell, and Erik Torenberg sat down for a conversation on how AI changed software and what fundamentals still hold true. They cover why moats still matter, the "greenfield strategies" that AI makes possible, the difference between differentiation & defensibility, why context is king, and more. 0:00 Intro 1:12 Why moats still matter 8:48 Why you won't vibecode Microsoft 10:09 The Goldilocks zone of pricing 11:21 Greenfield strategies 16:22 Steel man: Brand and velocity as moats 17:44 "Context is king" 19:58 Feature vs. product vs. company 27:05 Platform risk: Will they compete or tax you? 35:26 Will AI consolidate to winner-take-most? 39:16 Why Dropbox survived 44:06 Why AI is different: It's consensus 48:18 Jobs won't disappear – $1 tasks will explode David Haber Alex Rampell Erik Torenberg

a16z

61,997 views • 6 months ago

Dex is live. Escape the context-switching nightmare. Your browser just got a brain.

Dex is live. Escape the context-switching nightmare. Your browser just got a brain.

Regina Lin

56,044 views • 8 months ago

Full interview with the founder and CEO of Propr Lou sits down with me to discuss Hyperliquid and the future of prop trading Timestamps: 00:00:00 Intro 00:00:16 Meet Louis: from TradFi to crypto 00:01:52 How the crypto market has changed 00:03:49 Why build on Hyperliquid 00:06:52 How propr got started 00:08:40 Scaling a lean team (and the grind) 00:12:24 What a prop firm actually is 00:15:33 Agents, bots, and the future of trading 00:18:32 What Louis is most proud of 00:21:02 Thinking about the token and TGE 00:24:14 Where propr goes in 5 years 00:25:57 Best and worst trades 00:27:50 Life outside crypto + shoutouts

Full interview with the founder and CEO of Propr Lou sits down with me to discuss Hyperliquid and the future of prop trading Timestamps: 00:00:00 Intro 00:00:16 Meet Louis: from TradFi to crypto 00:01:52 How the crypto market has changed 00:03:49 Why build on Hyperliquid 00:06:52 How propr got started 00:08:40 Scaling a lean team (and the grind) 00:12:24 What a prop firm actually is 00:15:33 Agents, bots, and the future of trading 00:18:32 What Louis is most proud of 00:21:02 Thinking about the token and TGE 00:24:14 Where propr goes in 5 years 00:25:57 Best and worst trades 00:27:50 Life outside crypto + shoutouts

ryandcrypto

41,759 views • 21 days ago