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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 -...

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Bilawal Sidhu

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13,258 Aufrufe • vor 5 Monaten •via X (Twitter)

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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 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 4 Monaten

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 Aufrufe • vor 7 Monaten

*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

37,482 Aufrufe • vor 7 Monaten

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 Aufrufe • vor 6 Monaten

📁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

38,475 Aufrufe • vor 26 Tagen

Just after Gemini 3 was released, OpenAI's research chief Mark Chen stopped by to chat. Here's our full Core Memory pod with Mark. We start with the Great Recruitment Wars and then get into Mark's career and how OpenAI's research arm works and the tricks the company thinks it has up its sleeve. Think you'll learn more about Mark's personality than ever before. This pod is brought to you by Brex. We run our company on Brex, and you should too. It's also made possible by the investing gurus E1 Ventures 🇺🇸. Timestamps 00:00:00 Intro 00:05:02 Allocating Compute and Priorities 00:08:36 Finding the Next AI Paradigm 00:14:14 Research vs. Engineering Dichotomy 00:16:25 Gemini 3 and Math Puzzles 00:20:07 AI’s "Move 37" Moment 00:28:42 ChatGPT Replacing Technical Interviews 00:35:58 From Wall Street to AI 00:44:26 Joining Early OpenAI in 2018 00:48:08 Inside the OpenAI Coup 00:53:46 Impact of Losing Top Researchers 01:00:10 Is AI Scaling Dead? 01:09:29 Automating Nobel Prize Discoveries 01:13:43 Automating Research 01:15:35 The Insatiable Demand for Compute 01:18:23 Jony Ive and AI Hardware 01:27:50 Reaction to China’s DeepSeek 01:34:03 Preventing Scheming AI Models
1:38:17

Just after Gemini 3 was released, OpenAI's research chief Mark Chen stopped by to chat. Here's our full Core Memory pod with Mark. We start with the Great Recruitment Wars and then get into Mark's career and how OpenAI's research arm works and the tricks the company thinks it has up its sleeve. Think you'll learn more about Mark's personality than ever before. This pod is brought to you by Brex. We run our company on Brex, and you should too. It's also made possible by the investing gurus E1 Ventures 🇺🇸. Timestamps 00:00:00 Intro 00:05:02 Allocating Compute and Priorities 00:08:36 Finding the Next AI Paradigm 00:14:14 Research vs. Engineering Dichotomy 00:16:25 Gemini 3 and Math Puzzles 00:20:07 AI’s "Move 37" Moment 00:28:42 ChatGPT Replacing Technical Interviews 00:35:58 From Wall Street to AI 00:44:26 Joining Early OpenAI in 2018 00:48:08 Inside the OpenAI Coup 00:53:46 Impact of Losing Top Researchers 01:00:10 Is AI Scaling Dead? 01:09:29 Automating Nobel Prize Discoveries 01:13:43 Automating Research 01:15:35 The Insatiable Demand for Compute 01:18:23 Jony Ive and AI Hardware 01:27:50 Reaction to China’s DeepSeek 01:34:03 Preventing Scheming AI Models

Ashlee Vance

80,718 Aufrufe • vor 7 Monaten