Загрузка видео...

Не удалось загрузить видео

На главную

I tested Google’s world model Genie 3... Then DeepMind told me everything 00:00 - Intro & Authoring Workflow 00:27 - Genie 3 Playtesting & Demos 05:33 - Interview w/ Google DeepMind (Genie 3 co-lead Jack Parker-Holder and Sr. PM Diego Rivas) 06:54 - Wildest emergent behaviors observed 09:02 -...

bilawalsidhu's profile picture

Bilawal Sidhu

107,146 subscribers

13,264 просмотров • 6 месяцев назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Why make explorable, AI generated worlds? Shlomi Fruchter and Jack Parker-Holder explain how creating diverse and challenging virtual environments can help test and train AI agents safely. 🦺 Watch their conversation about Genie 3 with podcast host, Hannah Fry ↓ Timecodes: 00:00 Coming up 00:54 Intro 02:00 What is Genie 3? 03:00 Demos 06:50 Physics 11:00 Possible scenarios 15:07 Emergent properties 20:35 Veo and Genie 25:00 Hunter's lodge 28:02 Memory 34:52 SIMA and Genie 3 39:13 Searching for interestingness 52:00 AGI and the future 59:23 Hannah's thoughts
1:00:40

Why make explorable, AI generated worlds? Shlomi Fruchter and Jack Parker-Holder explain how creating diverse and challenging virtual environments can help test and train AI agents safely. 🦺 Watch their conversation about Genie 3 with podcast host, Hannah Fry ↓ Timecodes: 00:00 Coming up 00:54 Intro 02:00 What is Genie 3? 03:00 Demos 06:50 Physics 11:00 Possible scenarios 15:07 Emergent properties 20:35 Veo and Genie 25:00 Hunter's lodge 28:02 Memory 34:52 SIMA and Genie 3 39:13 Searching for interestingness 52:00 AGI and the future 59:23 Hannah's thoughts

Google DeepMind

184,644 просмотров • 11 месяцев назад

Today, we're joined by Jack Parker-Holder and Shlomi Fruchter, researchers at Google DeepMind, to discuss the recent release of Genie 3, a model capable of generating “playable” virtual worlds. We dig into the evolution of the Genie project and review the current model’s scaled-up capabilities, including creating real-time, interactive, and high-resolution environments. Jack and Shlomi share their perspectives on what defines a world model, the model's architecture, and key technical challenges and breakthroughs, including Genie 3’s visual memory and ability to handle “promptable world events.” Jack, Shlomi, and Sam share their favorite Genie 3 demos, and discuss its potential as a dynamic training environment for embodied AI agents. Finally, we will explore future directions for Genie research. 🗒️ For the full list of resources for this episode, visit the show notes page: 📖 CHAPTERS =============================== 00:00 - Introduction 7:11 - What is a world model? 14:49 - Milestones of Genie research 24:32 - Genie 3 27:46 - Challenges 30:07 - Genie 3 examples 33:48 - Model capabilities 35:49 - Key aspects of the model 39:40 - Consistency as an emergent property 42:11 - Promptable word events 47:24 - SIMA agent 50:56 - Limitations 56:08 - Future directions
1:00:31

Today, we're joined by Jack Parker-Holder and Shlomi Fruchter, researchers at Google DeepMind, to discuss the recent release of Genie 3, a model capable of generating “playable” virtual worlds. We dig into the evolution of the Genie project and review the current model’s scaled-up capabilities, including creating real-time, interactive, and high-resolution environments. Jack and Shlomi share their perspectives on what defines a world model, the model's architecture, and key technical challenges and breakthroughs, including Genie 3’s visual memory and ability to handle “promptable world events.” Jack, Shlomi, and Sam share their favorite Genie 3 demos, and discuss its potential as a dynamic training environment for embodied AI agents. Finally, we will explore future directions for Genie research. 🗒️ For the full list of resources for this episode, visit the show notes page: 📖 CHAPTERS =============================== 00:00 - Introduction 7:11 - What is a world model? 14:49 - Milestones of Genie research 24:32 - Genie 3 27:46 - Challenges 30:07 - Genie 3 examples 33:48 - Model capabilities 35:49 - Key aspects of the model 39:40 - Consistency as an emergent property 42:11 - Promptable word events 47:24 - SIMA agent 50:56 - Limitations 56:08 - Future directions

The TWIML AI Podcast

12,043 просмотров • 11 месяцев назад

AI world models & why they matter... in 20 minutes. The holodeck is closer than you think, and the implications for robotics, AR/VR and content creation are staggering. In this video, I'll breakdown everything from Google Genie 3 and NVIDIA Cosmos to startups powering synthetic training data (Parallel Domain, Bifrost etc). Chapters / Time Stamps: 00:00 Introduction 00:39 Dream Worlds at 24 FPS 01:46 Painting the Third Dimension 03:03 The World Model Wars 05:27 Robot Jungle Gyms (Hybrid Approach) 08:23 Synthetic Data Revolution 11:06 Cities That Think 14:07 The Holodeck Approaches 17:49 The Rendering Stack of Reality
20:09

AI world models & why they matter... in 20 minutes. The holodeck is closer than you think, and the implications for robotics, AR/VR and content creation are staggering. In this video, I'll breakdown everything from Google Genie 3 and NVIDIA Cosmos to startups powering synthetic training data (Parallel Domain, Bifrost etc). Chapters / Time Stamps: 00:00 Introduction 00:39 Dream Worlds at 24 FPS 01:46 Painting the Third Dimension 03:03 The World Model Wars 05:27 Robot Jungle Gyms (Hybrid Approach) 08:23 Synthetic Data Revolution 11:06 Cities That Think 14:07 The Holodeck Approaches 17:49 The Rendering Stack of Reality

Bilawal Sidhu

111,582 просмотров • 11 месяцев назад

A LOT happened last week. ICYMI, koray kavukcuoglu (CTO of Google DeepMind and Chief AI Architect of Google) and Logan Kilpatrick discuss Gemini 3, the state of AI, and where we are on the path to AGI. Chapters: 0:00 - Intro 2:00 - Gemini 3 launch reception 4:16 - Continuous progress and innovation 6:47 - Key areas for Gemini improvement 11:45 - Product scaffolding for model improvement 13:56 - Chief AI architect role 17:04 - Engineering mindset and collaboration 18:37 - Future growth areas for Gemini 20:33 - From research to engineering mindset 23:22 - The rise of generative media 27:22 - Nano Banana Pro capabilities 29:31 - Towards unified model checkpoints 36:26 - Organizing for AI success 38:26 - Balancing exploration and scaling 41:40 - DeepMind's collaborative culture 45:21 - Innovating at Google 48:37 - Closing
48:44

A LOT happened last week. ICYMI, koray kavukcuoglu (CTO of Google DeepMind and Chief AI Architect of Google) and Logan Kilpatrick discuss Gemini 3, the state of AI, and where we are on the path to AGI. Chapters: 0:00 - Intro 2:00 - Gemini 3 launch reception 4:16 - Continuous progress and innovation 6:47 - Key areas for Gemini improvement 11:45 - Product scaffolding for model improvement 13:56 - Chief AI architect role 17:04 - Engineering mindset and collaboration 18:37 - Future growth areas for Gemini 20:33 - From research to engineering mindset 23:22 - The rise of generative media 27:22 - Nano Banana Pro capabilities 29:31 - Towards unified model checkpoints 36:26 - Organizing for AI success 38:26 - Balancing exploration and scaling 41:40 - DeepMind's collaborative culture 45:21 - Innovating at Google 48:37 - Closing

Google AI

179,900 просмотров • 8 месяцев назад

NEW VIBE CODING TUTORIAL: 15 Hidden Features, Tips, and Settings for v0 the AI platform by Vercel 00:00 Feature 1: Design Mode 00:33 Video overview 01:05 Feature 2: One-Click Deploy 01:33 Feature 3: Prompt Enhancement 02:12 Feature 4: Use of Modern Frameworks 03:10 Feature 5: Visual Editor 03:57 Feature 6: Code Visibility 04:47 Feature 7: Co-builder 05:13 Feature 8: Built-in Version Control 06:04 Feature 9: GitHub Integration 06:45 Feature 10: Database Integrations 07:39 Feature 11: Secure API Key Management 08:20 Feature 12: Screenshot to App 08:48 Feature 13: Easy Export Options 09:21 Feature 14: Starter Templates 09:49 Feature 15: Vercel AI frameworks 10:28 Who is v0 best for?
12:44

NEW VIBE CODING TUTORIAL: 15 Hidden Features, Tips, and Settings for v0 the AI platform by Vercel 00:00 Feature 1: Design Mode 00:33 Video overview 01:05 Feature 2: One-Click Deploy 01:33 Feature 3: Prompt Enhancement 02:12 Feature 4: Use of Modern Frameworks 03:10 Feature 5: Visual Editor 03:57 Feature 6: Code Visibility 04:47 Feature 7: Co-builder 05:13 Feature 8: Built-in Version Control 06:04 Feature 9: GitHub Integration 06:45 Feature 10: Database Integrations 07:39 Feature 11: Secure API Key Management 08:20 Feature 12: Screenshot to App 08:48 Feature 13: Easy Export Options 09:21 Feature 14: Starter Templates 09:49 Feature 15: Vercel AI frameworks 10:28 Who is v0 best for?

Avthar

22,958 просмотров • 1 год назад

Here's my conversation with Demis Hassabis, CEO of Google DeepMind, all about the future of AI & AGI, simulating biology & physics, video games, programming, video generation, world models, Gemini 3, scaling laws, compute, P vs NP, complexity, energy (solar & fusion), and much more. This was a fun & fascinating super-technical conversation. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:21 - Introduction 2:06 - Learnable patterns in nature 5:48 - Computation and P vs NP 14:26 - Veo 3 and understanding reality 18:50 - Video games 30:52 - AlphaEvolve 36:53 - AI research 41:17 - Simulating a biological organism 46:00 - Origin of life 52:15 - Path to AGI 1:03:01 - Scaling laws 1:06:17 - Compute 1:09:04 - Future of energy 1:13:00 - Human nature 1:17:54 - Google and the race to AGI 1:35:53 - Competition and AI talent 1:42:27 - Future of programming 1:48:53 - John von Neumann 1:58:07 - p(doom) 2:02:50 - Humanity 2:05:56 - Consciousness and quantum computation 2:12:06 - David Foster Wallace 2:19:20 - Education and research
2:28:14

Here's my conversation with Demis Hassabis, CEO of Google DeepMind, all about the future of AI & AGI, simulating biology & physics, video games, programming, video generation, world models, Gemini 3, scaling laws, compute, P vs NP, complexity, energy (solar & fusion), and much more. This was a fun & fascinating super-technical conversation. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:21 - Introduction 2:06 - Learnable patterns in nature 5:48 - Computation and P vs NP 14:26 - Veo 3 and understanding reality 18:50 - Video games 30:52 - AlphaEvolve 36:53 - AI research 41:17 - Simulating a biological organism 46:00 - Origin of life 52:15 - Path to AGI 1:03:01 - Scaling laws 1:06:17 - Compute 1:09:04 - Future of energy 1:13:00 - Human nature 1:17:54 - Google and the race to AGI 1:35:53 - Competition and AI talent 1:42:27 - Future of programming 1:48:53 - John von Neumann 1:58:07 - p(doom) 2:02:50 - Humanity 2:05:56 - Consciousness and quantum computation 2:12:06 - David Foster Wallace 2:19:20 - Education and research

Lex Fridman

1,455,750 просмотров • 1 год назад

The Future of Rendering keynote at #RenderCon2026 with Jules Urbach and Ari Emanuel is now available to watch. Here's everything covered: 00:46 - The state of rendering in 2026 01:36 - MCP for rendering 04:06 - Neural rendering and volumetric media 06:33 - World models 09:11 - Genie 3 demonstrations 17:22 - Creative workflows with generative 3D models 24:24 - Relightable Gaussian splats and virtual production 28:39 - Gene Roddenberry Archive and 3D Star Trek 32:35 - Jules Urbach and Ari Emanuel kick off a fireside chat 34:53 - Content production and cost reduction 38:41 - 3D models in sports and gaming 42:02 - AI's impact on storytelling and creative roles 45:17 - IP and actor digital rights Watch the full talk:
47:01

The Future of Rendering keynote at #RenderCon2026 with Jules Urbach and Ari Emanuel is now available to watch. Here's everything covered: 00:46 - The state of rendering in 2026 01:36 - MCP for rendering 04:06 - Neural rendering and volumetric media 06:33 - World models 09:11 - Genie 3 demonstrations 17:22 - Creative workflows with generative 3D models 24:24 - Relightable Gaussian splats and virtual production 28:39 - Gene Roddenberry Archive and 3D Star Trek 32:35 - Jules Urbach and Ari Emanuel kick off a fireside chat 34:53 - Content production and cost reduction 38:41 - 3D models in sports and gaming 42:02 - AI's impact on storytelling and creative roles 45:17 - IP and actor digital rights Watch the full talk:

The Render Network

21,948 просмотров • 2 месяцев назад

📁 THE B LAND Fancon (2025) ↳ 더비랜드 팬콘 0:00 Opening VCR 3:09 Intro + BOY 7:16 Nectar 10:23 Greeting ments 19:20 Re-wind 22:22 VCR 29:03 Bump & Love 35:40 THE B Land Tour Segment: 안 어울려 챌린지 (Doesn’t Suit Me Challenge) 45:17 Q & Eric - Easy Lover 46:18 Younghoon - 몸매 (Mommae) 47:42 Sangyeon - 삐끼삐끼 챌린지 (Pikki Pikki Challenge) 48:30 Chanhee - Love Song 49:47 Hyunjae - 마라탕후루 챌린지 (Malatanghulu Challenge) 51:04 Juyeon - 네모네모 (Nemonemo) 카메라 찾기 (Find The Camera) 52:50 Kevin 53:17 Hyunjae 54:50 Jacob 55:56 Sunwoo 보기싶어 이 무대 (We want to see this stage) 58:28 MAVERICK 58:52 Right Here 59:32 The Stealer 1:00:18 Gibberish 1:01:25 네모네모 (Nemonemo) 1:02:15 Thrill Ride 1:06:42 THE BOYZ Princesses VCR 1:19:00 Intro + WATCH IT 1:22:30 ROAR 1:26:28 Igloo (KIOF) 1:28:40 Whiplash (aespa) 1:31:03 Ments 1:37:55 TRIGGER 1:43:21 퍼레이드 1:48:20 Deobis' banners/slogans 1:51:54 Deobibong wave 1:54:00 Dancing Till We Drop 1:57:38 Fire Eyes 2:01:01 Ment 2:02:30 Bloom Bloom (Disney Princesses ver.) 2:07:02 Shanghai Romance (Orange Caramel) 02:10:28 VCR (Letters from THE BOYZ) 2:15:39 Last Kiss 2:19:02 화이트 (White) 2:23:06 Ment 2:27:39 Video event for THE BOYZ 2:31:26 Deobis signing Nectar 2:33:44 Photo time 2:35:00 Ending ments 3:01:03 DEOBI! THE BOYZ! Get it? GOT IT! 3:01:10 Giddy Up (Never-ending ver.) 3:05:15 Eric's skit 3:06:27 Younghoon's skit 3:07:48 Q's skit 3:10:57 A Letter from a Private (Sangyeon) 3:17:05 Giddy Up (Horse masks ver.) 3:18:21 Younghoon's Club Party 3:19:58 Giddy Up 3:23:06 Giddy Up (Dance ver.) 3:29:20 Timeless 3:32:25 Saying goodbyes
3:33:48

📁 THE B LAND Fancon (2025) ↳ 더비랜드 팬콘 0:00 Opening VCR 3:09 Intro + BOY 7:16 Nectar 10:23 Greeting ments 19:20 Re-wind 22:22 VCR 29:03 Bump & Love 35:40 THE B Land Tour Segment: 안 어울려 챌린지 (Doesn’t Suit Me Challenge) 45:17 Q & Eric - Easy Lover 46:18 Younghoon - 몸매 (Mommae) 47:42 Sangyeon - 삐끼삐끼 챌린지 (Pikki Pikki Challenge) 48:30 Chanhee - Love Song 49:47 Hyunjae - 마라탕후루 챌린지 (Malatanghulu Challenge) 51:04 Juyeon - 네모네모 (Nemonemo) 카메라 찾기 (Find The Camera) 52:50 Kevin 53:17 Hyunjae 54:50 Jacob 55:56 Sunwoo 보기싶어 이 무대 (We want to see this stage) 58:28 MAVERICK 58:52 Right Here 59:32 The Stealer 1:00:18 Gibberish 1:01:25 네모네모 (Nemonemo) 1:02:15 Thrill Ride 1:06:42 THE BOYZ Princesses VCR 1:19:00 Intro + WATCH IT 1:22:30 ROAR 1:26:28 Igloo (KIOF) 1:28:40 Whiplash (aespa) 1:31:03 Ments 1:37:55 TRIGGER 1:43:21 퍼레이드 1:48:20 Deobis' banners/slogans 1:51:54 Deobibong wave 1:54:00 Dancing Till We Drop 1:57:38 Fire Eyes 2:01:01 Ment 2:02:30 Bloom Bloom (Disney Princesses ver.) 2:07:02 Shanghai Romance (Orange Caramel) 02:10:28 VCR (Letters from THE BOYZ) 2:15:39 Last Kiss 2:19:02 화이트 (White) 2:23:06 Ment 2:27:39 Video event for THE BOYZ 2:31:26 Deobis signing Nectar 2:33:44 Photo time 2:35:00 Ending ments 3:01:03 DEOBI! THE BOYZ! Get it? GOT IT! 3:01:10 Giddy Up (Never-ending ver.) 3:05:15 Eric's skit 3:06:27 Younghoon's skit 3:07:48 Q's skit 3:10:57 A Letter from a Private (Sangyeon) 3:17:05 Giddy Up (Horse masks ver.) 3:18:21 Younghoon's Club Party 3:19:58 Giddy Up 3:23:06 Giddy Up (Dance ver.) 3:29:20 Timeless 3:32:25 Saying goodbyes

tbzarchive media

37,263 просмотров • 2 месяцев назад

EXCLUSIVE: Microsoft just launched Copilot Vision in Edge—the first AI that can navigate the internet with you in real time. I sat down with Mustafa Suleyman (CEO of Microsoft AI) to discuss how it works, infinite memory, AI companions, agents, and more. Timestamps: 0:00 Intro 0:58 Microsoft Copilot Vision rundown 02:35 Initial reactions and use cases 04:57 How Copilot Vision works 06:02 Teaching AI to remember 08:13 How Microsoft AI is differentiating from OpenAI 09:27 The push for the true AI companion 11:28 Living with a co-intelligence in 10+ years 14:04 How Microsoft handles your data 16:11 When and how can you try Copilot Vision? 18:15 Agentic AI that controls your computer 20:25 What's next: support, gaming, and more 22:34 Preparing the next generation with Copilot 25:11 Mustafa’s advice for students and businesses
26:21

EXCLUSIVE: Microsoft just launched Copilot Vision in Edge—the first AI that can navigate the internet with you in real time. I sat down with Mustafa Suleyman (CEO of Microsoft AI) to discuss how it works, infinite memory, AI companions, agents, and more. Timestamps: 0:00 Intro 0:58 Microsoft Copilot Vision rundown 02:35 Initial reactions and use cases 04:57 How Copilot Vision works 06:02 Teaching AI to remember 08:13 How Microsoft AI is differentiating from OpenAI 09:27 The push for the true AI companion 11:28 Living with a co-intelligence in 10+ years 14:04 How Microsoft handles your data 16:11 When and how can you try Copilot Vision? 18:15 Agentic AI that controls your computer 20:25 What's next: support, gaming, and more 22:34 Preparing the next generation with Copilot 25:11 Mustafa’s advice for students and businesses

Rowan Cheung

268,106 просмотров • 1 год назад

내가 보려고 모은 #조이 역대 브릿지 파트 모음.zip (Ice Cream Cake~Sweet Dreams) 💚 * 레드벨벳 앨범만 포함했습니다 00:00 Somethin Kinda Crazy 00:05 Take It Slow 00:13 사탕 (Candy) 00:20 Dumb Dumb 00:22 Campfire 00:31 Lady’s Room 00:33 Day 1 00:43 Coold World 00:51 My Dear 00:55 Bad Dracula 00:58 Happily Ever After 01:03 빨간 맛 (Red Flavor) 01:09 여름빛 (Mojito) 01:13 I Just 01:17 Kingdom Come 01:23 두 번째 데이트 (My Second Date) 01:27 Attaboy 01:36 Perfect 10 01:42 달빛소리 01:53 Bad Boy 01:59 Time To Love 02:09 #Cookie Jar 02:13 Aitai-tai 02:20 Power Up 02:23 한 여름의 크리스마스 (With You) 02:30 Mr.E 02:35 Mosquito 02:41 RBB (Really Bad Boy) 02:47 So Good 02:51 멋있게 (Sassy Me) 02:54 Swimming Pool 02:57 Sayonara 03:04 짐살라빔 (Zimzalabim) 03:12 Sunny Side Up! 03:16 Milkshake 03:21 친구가 아냐 (Bing Bing) 03:29 안녕, 여름 (Parade) 03:32 LP 03:41 음파음파 (Umpah Umpah) 03:48 카풀 (Carpool) 03:57 Love Is The Way 04:05 Jumpin’ 04:11 눈 맞추고, 손 맞대고 (Eyes Locked, Hand Locked) 04:17 Psycho 04:24 In & Out 04:34 Remember Forever 04:44 Milky Way 04:52 Queendom 05:00 Pose 05:07 Knock On Wood 05:15 Better Be 05:25 Feel My Rhythm 05:29 Rainbow Halo 05:36 Beg For Me 05:43 In My Dreams 05:48 Marionette 05:50 WILDSIDE 05:54 Jackpot 06:00 Snap Snap 06:08 ‘Cause it’s you 06:14 Color of Love 06:16 Birthday 06:19 BYE BYE 06:22 롤러코스터 (On A Ride) 06:29 Zoom 06:40 Celebrate 06:48 Chill Kill 06:56 Knock Knock (Who’s There?) 06:59 Nightmare 07:03 One Kiss 07:10 Wings 07:21 풍경화 (Scenery) 07:32 Sunflower 07:38 Love Arcade 07:44 Bubble 07:51 Night Drive 07:57 Sweet Dreams
8:06

내가 보려고 모은 #조이 역대 브릿지 파트 모음.zip (Ice Cream Cake~Sweet Dreams) 💚 * 레드벨벳 앨범만 포함했습니다 00:00 Somethin Kinda Crazy 00:05 Take It Slow 00:13 사탕 (Candy) 00:20 Dumb Dumb 00:22 Campfire 00:31 Lady’s Room 00:33 Day 1 00:43 Coold World 00:51 My Dear 00:55 Bad Dracula 00:58 Happily Ever After 01:03 빨간 맛 (Red Flavor) 01:09 여름빛 (Mojito) 01:13 I Just 01:17 Kingdom Come 01:23 두 번째 데이트 (My Second Date) 01:27 Attaboy 01:36 Perfect 10 01:42 달빛소리 01:53 Bad Boy 01:59 Time To Love 02:09 #Cookie Jar 02:13 Aitai-tai 02:20 Power Up 02:23 한 여름의 크리스마스 (With You) 02:30 Mr.E 02:35 Mosquito 02:41 RBB (Really Bad Boy) 02:47 So Good 02:51 멋있게 (Sassy Me) 02:54 Swimming Pool 02:57 Sayonara 03:04 짐살라빔 (Zimzalabim) 03:12 Sunny Side Up! 03:16 Milkshake 03:21 친구가 아냐 (Bing Bing) 03:29 안녕, 여름 (Parade) 03:32 LP 03:41 음파음파 (Umpah Umpah) 03:48 카풀 (Carpool) 03:57 Love Is The Way 04:05 Jumpin’ 04:11 눈 맞추고, 손 맞대고 (Eyes Locked, Hand Locked) 04:17 Psycho 04:24 In & Out 04:34 Remember Forever 04:44 Milky Way 04:52 Queendom 05:00 Pose 05:07 Knock On Wood 05:15 Better Be 05:25 Feel My Rhythm 05:29 Rainbow Halo 05:36 Beg For Me 05:43 In My Dreams 05:48 Marionette 05:50 WILDSIDE 05:54 Jackpot 06:00 Snap Snap 06:08 ‘Cause it’s you 06:14 Color of Love 06:16 Birthday 06:19 BYE BYE 06:22 롤러코스터 (On A Ride) 06:29 Zoom 06:40 Celebrate 06:48 Chill Kill 06:56 Knock Knock (Who’s There?) 06:59 Nightmare 07:03 One Kiss 07:10 Wings 07:21 풍경화 (Scenery) 07:32 Sunflower 07:38 Love Arcade 07:44 Bubble 07:51 Night Drive 07:57 Sweet Dreams

맑음쨩 🍏

20,678 просмотров • 1 год назад

NEW AI CODING TUTORIAL -- 6 Months of Claude Code Community Lessons in 27 Minutes 00:00 Claude: The New King of AI Coding? 02:14 Level 1: Beginner 02:29 Installation 03:37 Todo lists 04:16 Essential Commands 06:35 Debugging with Claude Code 07:57 Claude dot md file 09:33 Message Queue 09:57 Markdown file prompts 10:33 Level 2: Intermediate 10:51 Planning Modes 12:10 Thinking Modes 12:58 More than Code: Research, Documents, Changelogs 15:16 Github Actions Integration 15:59 Mindset for Success with Claude Code 17:23 Level 3: Master 17:48 Parallel Subagents 18:16 Multiple Claudes (aka "multi-clauding") with Git worktrees 19:30 Custom Slash Commands 20:50 Custom Subagents 22:50 MCP Server Usage 24:05 Cost and Value for Money 25:56 Conclusion: What's next?
26:23

NEW AI CODING TUTORIAL -- 6 Months of Claude Code Community Lessons in 27 Minutes 00:00 Claude: The New King of AI Coding? 02:14 Level 1: Beginner 02:29 Installation 03:37 Todo lists 04:16 Essential Commands 06:35 Debugging with Claude Code 07:57 Claude dot md file 09:33 Message Queue 09:57 Markdown file prompts 10:33 Level 2: Intermediate 10:51 Planning Modes 12:10 Thinking Modes 12:58 More than Code: Research, Documents, Changelogs 15:16 Github Actions Integration 15:59 Mindset for Success with Claude Code 17:23 Level 3: Master 17:48 Parallel Subagents 18:16 Multiple Claudes (aka "multi-clauding") with Git worktrees 19:30 Custom Slash Commands 20:50 Custom Subagents 22:50 MCP Server Usage 24:05 Cost and Value for Money 25:56 Conclusion: What's next?

Avthar

42,646 просмотров • 11 месяцев назад

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇
58:52

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇

Ruslan Khairullin

16,872 просмотров • 1 месяц назад

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History
1:04:51

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History

Raoul Pal

326,827 просмотров • 1 год назад

Looking for a BEGINNER-friendly gamedev vibe coding tutorial? I got you. Let's building this 2D pirate beat 'em up game from SCRATCH. → Codex App → GPT 5.5 → Images 2.0 → Phaser 4 → ElevenLabs Step-by-step... prompt-by-prompt... Starter project + resources in reply 👇 00:00 1. Intro 01:16 2. Project Structure 01:34 3. `public` folder 02:29 4. .Agent skills 03:00 5. Codex App 04:15 6. Running the game 05:32 7. Better Testing Setup 06:59 8. Generate Background Art 08:56 9. Use parallel sub-agents 10:22 10. Create an Asset Index 13:27 11. Adding the Pirate Player 15:58 12. Browser Testing in Codex 17:55 13. Add Skeleton Enemy 19:44 14. Collisions & Hitboxes 21:04 15. Adding Debug 22:12 16. Fixing Attack Frames 24:06 17. Fixing Hit Boxes and Bounds 26:10 18. Adding Health System & Bars 27:52 19. Game Over And Death Flow 28:46 20. Wave Progression System 31:38 21. Restarting The Game 33:49 22. Generated Sound & Music with AI 39:14 23. Adding juice and polish 41:54 Wrap Up
42:31

Looking for a BEGINNER-friendly gamedev vibe coding tutorial? I got you. Let's building this 2D pirate beat 'em up game from SCRATCH. → Codex App → GPT 5.5 → Images 2.0 → Phaser 4 → ElevenLabs Step-by-step... prompt-by-prompt... Starter project + resources in reply 👇 00:00 1. Intro 01:16 2. Project Structure 01:34 3. `public` folder 02:29 4. .Agent skills 03:00 5. Codex App 04:15 6. Running the game 05:32 7. Better Testing Setup 06:59 8. Generate Background Art 08:56 9. Use parallel sub-agents 10:22 10. Create an Asset Index 13:27 11. Adding the Pirate Player 15:58 12. Browser Testing in Codex 17:55 13. Add Skeleton Enemy 19:44 14. Collisions & Hitboxes 21:04 15. Adding Debug 22:12 16. Fixing Attack Frames 24:06 17. Fixing Hit Boxes and Bounds 26:10 18. Adding Health System & Bars 27:52 19. Game Over And Death Flow 28:46 20. Wave Progression System 31:38 21. Restarting The Game 33:49 22. Generated Sound & Music with AI 39:14 23. Adding juice and polish 41:54 Wrap Up

Chong-U

14,297 просмотров • 2 месяцев назад

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

Mike Hoffmann

71,518 просмотров • 1 год назад

Here's how I use BOTH Codex + Claude Code to vibe code games For my Final Fantasy Tactics game: → 1. GPT 5.4/5.3-Codex/5.2 → 2. Opus 4.6 → 3. Nano Banana 2 → 4. Playwright → Plans + AskUserQuestion → Queue + interrupt prompts → Auto test + bug fixing FULL workflow👇 00:00 Intro 02:07 Step 1: Game Overview 03:27 Step 2: Nano Banana 2 for Portraits 05:12 Step 3: GPT 5.2 / 5.4 for Planning 09:56 Step 4: AskUserQuestion in Codex 12:02 Step 5: Saving your plans and prompts 13:43 Step 6: GPT 5.3-Codex for Implementing 16:34 Step 7: Implementing Cutscenes 20:49 Step 8: LazyGit + Yazi - Staying in the terminal 22:46 Step 9: Reviewing the changes 23:49 Step 10: Steering Codex - Queued Prompts 25:36 Steo 11: Steering Codex - Interrupt Prompts 26:45 Steo 12: Claude Code and Opus 4.6 27:16 Step 13: xHigh Reasoning for Tricky Bugs 28:50 Step 14: Playwright for automated testing + fixes 30:56 Step 15: Claude Code Plan Mode Previews 32:56 Step 16: Steering Claude Code - Add Notes to Plans 35:05 Wrap-Up
35:19

Here's how I use BOTH Codex + Claude Code to vibe code games For my Final Fantasy Tactics game: → 1. GPT 5.4/5.3-Codex/5.2 → 2. Opus 4.6 → 3. Nano Banana 2 → 4. Playwright → Plans + AskUserQuestion → Queue + interrupt prompts → Auto test + bug fixing FULL workflow👇 00:00 Intro 02:07 Step 1: Game Overview 03:27 Step 2: Nano Banana 2 for Portraits 05:12 Step 3: GPT 5.2 / 5.4 for Planning 09:56 Step 4: AskUserQuestion in Codex 12:02 Step 5: Saving your plans and prompts 13:43 Step 6: GPT 5.3-Codex for Implementing 16:34 Step 7: Implementing Cutscenes 20:49 Step 8: LazyGit + Yazi - Staying in the terminal 22:46 Step 9: Reviewing the changes 23:49 Step 10: Steering Codex - Queued Prompts 25:36 Steo 11: Steering Codex - Interrupt Prompts 26:45 Steo 12: Claude Code and Opus 4.6 27:16 Step 13: xHigh Reasoning for Tricky Bugs 28:50 Step 14: Playwright for automated testing + fixes 30:56 Step 15: Claude Code Plan Mode Previews 32:56 Step 16: Steering Claude Code - Add Notes to Plans 35:05 Wrap-Up

Chong-U

47,264 просмотров • 5 месяцев назад

Gemini 3, scaling laws and the 'finite data' era: my conversation with Sebastian Borgeaud, research engineer at Google DeepMind and a pre-training lead for Gemini 3 00:00 – Cold intro: “We’re ahead of schedule” + AI is now a system 00:58 – Oriol Vinyals's “secret recipe”: better pre- + post-training 02:09 – Why AI progress still isn’t slowing down 03:04 – Are models actually getting smarter? 04:36 – Two–three years out: what changes first? 06:34 – AI doing AI research: faster, not automated 07:45 – Frontier labs: same playbook or different bets? 10:19 – Post-transformers: will a disruption happen? 10:51 – DeepMind’s advantage: research × engineering × infra 12:26 – What a Gemini 3 pre-training lead actually does 13:59 – From Europe to Cambridge to DeepMind 18:06 – Why he left RL for real-world data 20:05 – From Gopher to Chinchilla to RETRO (and why it matters) 20:28 – “Research taste”: integrate or slow everyone down 23:00 – Fixes vs moonshots: how they balance the pipeline 24:37 – Research vs product pressure (and org structure) 26:24 – Gemini 3 under the hood: MoE in plain English 28:30 – Native multimodality: the hidden costs 30:03 – Scaling laws aren’t dead (but scale isn’t everything) 33:07 – Synthetic data: powerful, dangerous? 35:00 – Reasoning traces: what he can’t say (and why) 37:18 – Long context + attention: what’s next 38:40 – Retrieval vs RAG vs long context 41:49 – The real boss fight: evals (and contamination) 42:28 – Alignment: pre-training vs post-training 43:32 – Deep Think + agents + “vibe coding” 46:34 – Continual learning: updating models over time 49:35 – Advice for researchers + founders 53:35 – “No end in sight” for progress + closing
54:56

Gemini 3, scaling laws and the 'finite data' era: my conversation with Sebastian Borgeaud, research engineer at Google DeepMind and a pre-training lead for Gemini 3 00:00 – Cold intro: “We’re ahead of schedule” + AI is now a system 00:58 – Oriol Vinyals's “secret recipe”: better pre- + post-training 02:09 – Why AI progress still isn’t slowing down 03:04 – Are models actually getting smarter? 04:36 – Two–three years out: what changes first? 06:34 – AI doing AI research: faster, not automated 07:45 – Frontier labs: same playbook or different bets? 10:19 – Post-transformers: will a disruption happen? 10:51 – DeepMind’s advantage: research × engineering × infra 12:26 – What a Gemini 3 pre-training lead actually does 13:59 – From Europe to Cambridge to DeepMind 18:06 – Why he left RL for real-world data 20:05 – From Gopher to Chinchilla to RETRO (and why it matters) 20:28 – “Research taste”: integrate or slow everyone down 23:00 – Fixes vs moonshots: how they balance the pipeline 24:37 – Research vs product pressure (and org structure) 26:24 – Gemini 3 under the hood: MoE in plain English 28:30 – Native multimodality: the hidden costs 30:03 – Scaling laws aren’t dead (but scale isn’t everything) 33:07 – Synthetic data: powerful, dangerous? 35:00 – Reasoning traces: what he can’t say (and why) 37:18 – Long context + attention: what’s next 38:40 – Retrieval vs RAG vs long context 41:49 – The real boss fight: evals (and contamination) 42:28 – Alignment: pre-training vs post-training 43:32 – Deep Think + agents + “vibe coding” 46:34 – Continual learning: updating models over time 49:35 – Advice for researchers + founders 53:35 – “No end in sight” for progress + closing

Matt Turck

51,317 просмотров • 7 месяцев назад

*Major* open source AI drop today. Can America win the Open AI race? My conversation with Nathan Lambert and Luca Soldaini 🎀 of Ai2 about the launch of Olmo 3 00:00 – Cold Open 00:39 – Welcome & today’s big announcement 01:18 – Introducing the Olmo 3 model family 02:07 – What “base models” really are (and why they matter) 05:51 – Dolma 3: the data behind Olmo 3 08:06 – Performance vs Qwen, Gemma, DeepSeek 10:28 – What true open source means (and why it’s rare) 12:51 – Intermediate checkpoints, transparency, and why AI2 publishes everything 16:37 – Why Qwen is everywhere (including U.S. startups) 18:31 – Why Chinese labs go open source (and why U.S. labs don’t) 20:28 – Inside ATOM: the U.S. response to China’s model surge 22:13 – The rise of “thinking models” and inference-time scaling 35:58 – The full Olmo pipeline, explained simply 46:52 – Pre-training: data, scale, and avoiding catastrophic spikes 50:27 – Mid-training (tail patching) and avoiding test leakage 52:06 – Why long-context training matters 55:28 – SFT: building the foundation for reasoning 1:04:53 – Preference tuning & why DPO still works 1:10:51 – The hard part: RLVR, long reasoning chains, and infrastructure pain 1:13:59 – Why RL is so technically brutal 1:18:17 – Complexity tax vs AGI hype 1:21:58 – How everyone can contribute to the future of AI 1:27:26 – Closing thoughts
1:28:10

*Major* open source AI drop today. Can America win the Open AI race? My conversation with Nathan Lambert and Luca Soldaini 🎀 of Ai2 about the launch of Olmo 3 00:00 – Cold Open 00:39 – Welcome & today’s big announcement 01:18 – Introducing the Olmo 3 model family 02:07 – What “base models” really are (and why they matter) 05:51 – Dolma 3: the data behind Olmo 3 08:06 – Performance vs Qwen, Gemma, DeepSeek 10:28 – What true open source means (and why it’s rare) 12:51 – Intermediate checkpoints, transparency, and why AI2 publishes everything 16:37 – Why Qwen is everywhere (including U.S. startups) 18:31 – Why Chinese labs go open source (and why U.S. labs don’t) 20:28 – Inside ATOM: the U.S. response to China’s model surge 22:13 – The rise of “thinking models” and inference-time scaling 35:58 – The full Olmo pipeline, explained simply 46:52 – Pre-training: data, scale, and avoiding catastrophic spikes 50:27 – Mid-training (tail patching) and avoiding test leakage 52:06 – Why long-context training matters 55:28 – SFT: building the foundation for reasoning 1:04:53 – Preference tuning & why DPO still works 1:10:51 – The hard part: RLVR, long reasoning chains, and infrastructure pain 1:13:59 – Why RL is so technically brutal 1:18:17 – Complexity tax vs AGI hype 1:21:58 – How everyone can contribute to the future of AI 1:27:26 – Closing thoughts

Matt Turck

37,531 просмотров • 8 месяцев назад

Economy Annual Current Affairs - 100 Key Highlights for UPSC, SSC, Banking Exams by Dr.Mrunal Patel Timestamps: 00:00:00 - Introduction 00:00:24 - Headline Compilation 00:03:09 - Pillar 1: Money and Banking 00:03:31 - Deadline Enforcement 00:05:11 - Ease of Doing Business vs Public Safety 00:06:41 - Cheque Clearance Postponement 00:07:03 - UPI Updates 00:07:25 - Bitcoin Volatility and Trump 00:09:13 - Stablecoins and China Digital Yuan 00:10:19 - RBI Governors 00:11:02 - NPAs and Credit Card Issues 00:12:30 - Gold Loan Rules Relaxation 00:13:16 - IBC Code Amendments 00:13:39 - Pillar 2: Share Market 00:14:17 - Gold Price Surge and Smuggling 00:15:30 - Sovereign Gold Bonds Changes 00:16:13 - SEBI Leadership Shift 00:17:03 - Adani US Court Issues 00:18:08 - Tech Bubble Warnings 00:19:17 - Market Cap Examples 00:20:05 - Elon Musk Tesla Demands 00:20:55 - Over-Financialization Concerns 00:21:14 - F&O Trading Losses 00:22:21 - Corporate Nepotism at Reliance 00:23:09 - Pillar 1D: Insurance FDI Increase 00:23:51 - PM Jan Arogya Yojana Disputes 00:24:29 - Bima Sugam Portal 00:24:53 - Pension Incentives for Freshers 00:26:06 - Digital KYC Accessibility 00:27:12 - Pillar 2: Budget Taxation GST 00:27:38 Income tax relief 00:28:40 GST 2.0 00:30:43 Pan-Masala Cess 00:31:28 Finance Commission 00:31:48 Subsidies Revdi Culture 00:34:24 - Rupee Depreciation Reasons 00:34:59 - Trump Policies Impact 00:35:20 - Tariff Wars and Immigration 00:35:51 - Beautiful Bill and DOGE 00:36:12 - WTO Issues 00:36:56 - Democracy in Growth 00:37:21 - China Supply Chain Weaponization 00:37:51 - SCO and RIC Meetings 00:38:18 - Diplomacy No Permanent Friends 00:38:42 - FTA with UK 00:39:09 - Opportunities in Crisis 00:39:32 - EU Trade Deals 00:40:19 - Sanctions on Nayara 00:40:40 - Microsoft Reaction 00:41:02 - Digital Policy Need 00:41:26 - Pillar 4: Sectors of Economy 00:41:53 - PM Dhanya Krishi Yojana 00:42:14 - Makhana in Bihar 00:42:38 - No Major Farmer Sops 00:43:03 - Agriculture Budget 00:43:35 - Manufacturing PLI 00:43:57 - Startups and Criticism 00:44:31 - Startup Counterarguments 00:45:03 - Kolhapuri Chappal GI 00:45:52 - Four Labor Codes 00:46:16 - Engels Pause AI 00:46:42 - IT Job Losses 00:47:07 - Industrial Revolution Comparison 00:47:16 - PLFS Data 00:47:42 - GDP IMF Projection 00:48:01 - Growth vs Development 00:48:14 - Data Quality C Grade 00:48:33 - Methodology Changes 00:48:55 - Pillar 5: Infrastructure 00:49:22 - Nuclear Liability 00:50:06 - Mineral Partnerships 00:50:29 - US Exclusion 00:50:46 - Transport Pilot Rules 00:51:06 - Toll Systems 00:51:38 - Ethanol Blending 00:51:57 - Smart Cities Funding End 00:52:54 - Communication Infra 00:53:19 - Pillar 6: Census Delay 00:53:35 - Demographic Challenges 00:54:17 - Population Challenges 00:54:36 - Pension Age Debates 00:55:04 - Health Education Updates 00:55:28 - PM SHRI Scheme 00:55:40 - Open Book Exams 00:56:19 - IIT Issues 00:56:43 - Hindi Medium Initiative 00:57:05 - MGNREGA Extensions 00:57:48 - Poverty Definitions 00:58:27 - Inequality Gini 00:59:12 - HDI Rankings 00:59:43 - Other Indexes 00:59:48 - Win26 Series Announcement 01:00:10 - PCB15 Course Details 01:01:10 - Unacademy Offer 01:02:04 - Final Closing ✍🏻 Join Unacademy for UPSC Prelims + Mains Coaching:
1:02:08

Economy Annual Current Affairs - 100 Key Highlights for UPSC, SSC, Banking Exams by Dr.Mrunal Patel Timestamps: 00:00:00 - Introduction 00:00:24 - Headline Compilation 00:03:09 - Pillar 1: Money and Banking 00:03:31 - Deadline Enforcement 00:05:11 - Ease of Doing Business vs Public Safety 00:06:41 - Cheque Clearance Postponement 00:07:03 - UPI Updates 00:07:25 - Bitcoin Volatility and Trump 00:09:13 - Stablecoins and China Digital Yuan 00:10:19 - RBI Governors 00:11:02 - NPAs and Credit Card Issues 00:12:30 - Gold Loan Rules Relaxation 00:13:16 - IBC Code Amendments 00:13:39 - Pillar 2: Share Market 00:14:17 - Gold Price Surge and Smuggling 00:15:30 - Sovereign Gold Bonds Changes 00:16:13 - SEBI Leadership Shift 00:17:03 - Adani US Court Issues 00:18:08 - Tech Bubble Warnings 00:19:17 - Market Cap Examples 00:20:05 - Elon Musk Tesla Demands 00:20:55 - Over-Financialization Concerns 00:21:14 - F&O Trading Losses 00:22:21 - Corporate Nepotism at Reliance 00:23:09 - Pillar 1D: Insurance FDI Increase 00:23:51 - PM Jan Arogya Yojana Disputes 00:24:29 - Bima Sugam Portal 00:24:53 - Pension Incentives for Freshers 00:26:06 - Digital KYC Accessibility 00:27:12 - Pillar 2: Budget Taxation GST 00:27:38 Income tax relief 00:28:40 GST 2.0 00:30:43 Pan-Masala Cess 00:31:28 Finance Commission 00:31:48 Subsidies Revdi Culture 00:34:24 - Rupee Depreciation Reasons 00:34:59 - Trump Policies Impact 00:35:20 - Tariff Wars and Immigration 00:35:51 - Beautiful Bill and DOGE 00:36:12 - WTO Issues 00:36:56 - Democracy in Growth 00:37:21 - China Supply Chain Weaponization 00:37:51 - SCO and RIC Meetings 00:38:18 - Diplomacy No Permanent Friends 00:38:42 - FTA with UK 00:39:09 - Opportunities in Crisis 00:39:32 - EU Trade Deals 00:40:19 - Sanctions on Nayara 00:40:40 - Microsoft Reaction 00:41:02 - Digital Policy Need 00:41:26 - Pillar 4: Sectors of Economy 00:41:53 - PM Dhanya Krishi Yojana 00:42:14 - Makhana in Bihar 00:42:38 - No Major Farmer Sops 00:43:03 - Agriculture Budget 00:43:35 - Manufacturing PLI 00:43:57 - Startups and Criticism 00:44:31 - Startup Counterarguments 00:45:03 - Kolhapuri Chappal GI 00:45:52 - Four Labor Codes 00:46:16 - Engels Pause AI 00:46:42 - IT Job Losses 00:47:07 - Industrial Revolution Comparison 00:47:16 - PLFS Data 00:47:42 - GDP IMF Projection 00:48:01 - Growth vs Development 00:48:14 - Data Quality C Grade 00:48:33 - Methodology Changes 00:48:55 - Pillar 5: Infrastructure 00:49:22 - Nuclear Liability 00:50:06 - Mineral Partnerships 00:50:29 - US Exclusion 00:50:46 - Transport Pilot Rules 00:51:06 - Toll Systems 00:51:38 - Ethanol Blending 00:51:57 - Smart Cities Funding End 00:52:54 - Communication Infra 00:53:19 - Pillar 6: Census Delay 00:53:35 - Demographic Challenges 00:54:17 - Population Challenges 00:54:36 - Pension Age Debates 00:55:04 - Health Education Updates 00:55:28 - PM SHRI Scheme 00:55:40 - Open Book Exams 00:56:19 - IIT Issues 00:56:43 - Hindi Medium Initiative 00:57:05 - MGNREGA Extensions 00:57:48 - Poverty Definitions 00:58:27 - Inequality Gini 00:59:12 - HDI Rankings 00:59:43 - Other Indexes 00:59:48 - Win26 Series Announcement 01:00:10 - PCB15 Course Details 01:01:10 - Unacademy Offer 01:02:04 - Final Closing ✍🏻 Join Unacademy for UPSC Prelims + Mains Coaching:

Dr. Mrunal Patel (Ph.D.)

20,867 просмотров • 7 месяцев назад

📁INTER-ZECTION (2026) 0:00 Opening 2:42 Echo 6:13 You and I 8:58 Shake You Down 12:43 VCR 16:49 Intro + Talk 20:26 Rock and Roll 23:51 Merry Bad Ending 27:19 Intro + Ain't Salty 33:15 VCR 38:12 VVV (SBS Gayo Daejeon ver.) 43:19 Text Me Back 46:31 Greeting ments 52:14 Jacob, Juyeon, Q, Eric Talk 57:39 Younghoon, Hyunjae, Kevin, New, Sunwoo Talk 1:06:05 Kim Deobi segment 1:08:00 Sweet 1:11:13 C.O.D.E 1:14:34 VCR 1:18:17 Intro + Starry Night 1:22:33 They See Me Dream 1:26:23 Ment 1:31:23 Spring Snow 1:35:37 Survive The Night 1:39:07 Together Forever 1:42:10 VCR 1:46:47 Intro + No Air 1:52:06 REVEAL 1:55:03 Intro + MAVERICK 1:59:09 Ment 2:03:40 Checkmate (RTK Ver.) 2:10:06 Deobis banners/slogans 2:16:47 Fire Eyes 2:20:14 Miss Demeanor (EDM Ver.) 2:23:00 Shout It Out (Never-edning ver.) 2:31:22 Ment 2:35:20 Video event for THE BOYZ 2:38:44 Singing event for THE BOYZ 2:40:18 Card section event 2:43:40 Photo time 2:46:00 Ending ments 3:21:11 Love! 우린 이미 선을 넘었어 (Cross Over) 3:23:47 오늘 같은 날이 또 올까? 응! 3:24:43 Saying goodbyes 3:29:28 육성 인사 3:30:55 Still Love You
3:36:04

📁INTER-ZECTION (2026) 0:00 Opening 2:42 Echo 6:13 You and I 8:58 Shake You Down 12:43 VCR 16:49 Intro + Talk 20:26 Rock and Roll 23:51 Merry Bad Ending 27:19 Intro + Ain't Salty 33:15 VCR 38:12 VVV (SBS Gayo Daejeon ver.) 43:19 Text Me Back 46:31 Greeting ments 52:14 Jacob, Juyeon, Q, Eric Talk 57:39 Younghoon, Hyunjae, Kevin, New, Sunwoo Talk 1:06:05 Kim Deobi segment 1:08:00 Sweet 1:11:13 C.O.D.E 1:14:34 VCR 1:18:17 Intro + Starry Night 1:22:33 They See Me Dream 1:26:23 Ment 1:31:23 Spring Snow 1:35:37 Survive The Night 1:39:07 Together Forever 1:42:10 VCR 1:46:47 Intro + No Air 1:52:06 REVEAL 1:55:03 Intro + MAVERICK 1:59:09 Ment 2:03:40 Checkmate (RTK Ver.) 2:10:06 Deobis banners/slogans 2:16:47 Fire Eyes 2:20:14 Miss Demeanor (EDM Ver.) 2:23:00 Shout It Out (Never-edning ver.) 2:31:22 Ment 2:35:20 Video event for THE BOYZ 2:38:44 Singing event for THE BOYZ 2:40:18 Card section event 2:43:40 Photo time 2:46:00 Ending ments 3:21:11 Love! 우린 이미 선을 넘었어 (Cross Over) 3:23:47 오늘 같은 날이 또 올까? 응! 3:24:43 Saying goodbyes 3:29:28 육성 인사 3:30:55 Still Love You

tbzarchive media

40,408 просмотров • 1 месяц назад