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It has been a long time since I made a video. I am sharing a deep dive into 2fac, a new 2FA app I built to replace Authy. What makes this project special is its massive scope, running natively across Android, iOS, watchOS, desktop, CLI, browser extensions, and the...

109,380 просмотров • 4 месяцев назад •via X (Twitter)

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My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

Shane Parrish

450,952 просмотров • 3 месяцев назад

I'm often asked for the best public example of AI evals done right for a real, production product. I finally have an answer. Teresa Torres shares how she shipped an AI interview coach, and used evals to rapidly squash bugs and improve the product. Teresa shows how she: 1. did error analysis FIRST to find real issues (instead of using generic metrics) 😍 2. used Jupyter notebooks to analyze errors 3. built custom annotation tools + custom widgets in notebooks 4. built a LLM-judge and assertions to test for specific errors 5. iterated through this feedback loop until it worked. 6. kept things simple the whole time It's also probably the best commercial for Jupyter notebooks you can imagine. 🥰 Chapter summary below. Link to YT in next thread 00:00:00 - Intro 00:01:45 - The Product: Building an AI Interview Coach 00:06:34 - The Problem: How Do I Know if My AI Coach is Any Good? 00:10:15 - Using Airtable for Traces and Annotation 00:12:15 - Discovering Jupyter Notebooks and Designing the First Evals 00:15:15 - Example Evals: LLM-as-Judge vs. Code-Based Assertions 00:21:00 - Learning Python with ChatGPT to Analyze Eval Results 00:31:00 - VS Code, Custom Tools, and an Eval Investigation Notebook 00:39:45 - Building a Custom Annotation Tool with Claude 00:41:00 - From Personal Project to Production App 00:46:02 - How Should PMs and Engineers Collaborate on AI Products? 00:55:45 - Q&A: Capturing Feedback and Annotations from End Users 00:58:11 - Q&A: Is a Technical Background Necessary to Build AI? 01:02:28 - Q&A: What's Next for Teresa? 01:03:13 - Q&A: Unpacking the Micro-Decisions of Building an AI App

Hamel Husain

51,376 просмотров • 11 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:

Dr. Mrunal Patel (Ph.D.)

20,867 просмотров • 6 месяцев назад

That’s the end of the Austin House season! Mizkif has flown away in a Klat Airlines helicopter…. to a new journey, a new chapter!❤️ Here are the (3) VOD links and Timestamps: First VOD: 00:00/29:00 - Intro with all the old intro songs 29:00 - Start of Stream 30:00 - Reacting to TopKek 41:30 - Reacting to NEW TopKek (The Streamer Awards - Twitch Fails) 52:00 - Reacting to Erobb and Jason Second VOD: Starts Right Away with Super Mario 64 01:59:00 - Mizkif plays Minecraft Hardcore 03:46:00 - Mizkif plays Fall Guys 04:28:00 - Mizkif plays Jump King 05:28:00 - asianbunny comes over 11:50:00 - Mizkif plays Mario Kart 8 12:28:00 - Back to Minecraft Hardcore 14:27:00 - Mizkif calls MaryMaybe 14:39:00 - Mizkif plays Only Up! 15:39:00 - MaryMaybe comes over 18:33:00 - Reacting to Clips 18:43:00 - Back to Only Up! 19:19:00 - MaryMaybe returns 21:34:00 - Marbles with MaryMayne 22:40:00 - Fandy shows up 23:01:00 - Clara shows up 23:12:00 - Clara and Fandy react to ClipQueue 25:45:00 - Clara and Fandy react to the Top 100 Spotify Songs of All Time 27:06:00 - Island joins for the Pokemon Box Opening 29:02:00 - Mizkif, MaryMaybe, Clara and Fandy react to ClipQueue 30:09:00 - Mizkif calls Roflgator 30:24:00 - Clara and Fandy play Vampire Survivors (also Esfand shows up) 30:53:00 - Clara and Fandy play Map Quiz Game 31:19:00 - Esfand, Clara and Fandy play Balatro 32:29:00 - Mizkif names 100 Women 32:34:00 - Wake shows up 34:07:00 - Back to the craft 35:00:00 - Mizkif reacts to everybody else reacting to Playboi Carti not dropping his music on time 35:39:00 - One Hour of Wall Staring with Clara and Bunky (with the occasional Esfand entertainment) 37:36:00 - We are playing Minecraft again 39:05:00 - Mizkif reacts to the new Playboi Carti album 40:32:00 - Minecraft. Again. 40:46:00 - Morning Shift with MaryMaybe Third VOD: 35:00 - Mizkif and MaryMaybe play Pokemon Stadium 39:00 - Mizkif and MaryMaybe play Nintendo Switch Sports 46:00 - Juliakins shows up 2:13:00 - Sardaco shows up 3:29:00 - Simply shows up 3:51:00 - Going over Unban Requests 4:45:00 - Fireball Friday starts 4:59:00 - Mario Party with Simply, Sardaco and MaryMaybe 5:15:00 - AXIUN shows up 5:22:00 - Alinity shows up 5:30:00 - Knut and family show up 5:34:00 - asianbunny shows up 5:54:00 - Fandy and Bryce show up 6:04:00 - Jacob shows up 6:09:00 - Corey shows up 6:14:00 - Cam shows up 6:26:00 - Russel shows up 6:35:00 - ‘Goodbye Austin House’ Party Starts 6:42:00 - Wake shows up 6:47:00 - ExtraEmily shows up 6:48:00 - Aruuu, Poke and Clara show up 6:50:00 - The Final Goodbye to the House

Mizkif Updates

188,834 просмотров • 1 год назад

For over a year, Jeremy Howard has been in stealth mode. In this exclusive talk, he showcases what he's been working on. He & Jonathan Whitaker show us SolveIt, a new dev environment and programming paradigm. 🤯 Imagine this workflow: - Build a web app & interact with its UI on the same screen as your code. No more flipping to a separate browser. - Use live variables from your REPL directly in prompts to the AI. The AI knows your current state. - Turn any Python function into an AI tool instantly. No no registering tools or MCP. Just write a function in a cell and tell the AI to use it. This is a live, malleable environment that fuses the best ideas from Literate Programming (Knuth), the live-object world of Smalltalk, and the interactive cells of Jupyter. Who is Solveit for? Jeremy's take: SolveIt is best for programmers who are either very new ( 20 years). Why? Because developers in the middle (3-20 years) often have ingrained workflows and can find this different paradigm confronting. New devs are open-minded and build good habits from scratch, while veterans immediately recognize how this approach solves decades-old problems of complexity and state management. My Thoughts It's early days, but it is super cool. You get all the fun of trying a new programming language without learning new syntax (Python), because it will show you new patterns and ways of doing this. If you are wiling to climb the learning curve it is an extremely powerful tool that you can be productive with on real tasks like writing and coding. I'm personally addicted to it for several workflows and am afraid of losing it tbh. How Can You Try It? Just follow Jeremy Howard - he will announce something in the coming weeks or months (I suspect if this post is popular he might do something soon 🤣 ) TIMESTAMPS (00:00:00) - Introduction (00:00:30) - The SolveIt Method vs. "Vibe Coding" (00:04:00) - Investing in Yourself: Long-Term Skill Building (00:07:45) - Software Engineering vs. Short-Term Gains (00:12:15) - The Problem-Solving Loop: Understand, Plan, Implement, Review (00:18:50) - Example: Literate Programming with the Claudette Library (00:24:15) - First Look at the SolveIt Environment (00:28:34) - Demo Start: Building an Eval for Multimodal Models (00:31:16) - Iterative Development: Exploring the iNaturalist API (00:39:15) - Catching Bugs Instantly by Working Step-by-Step (00:43:37) - Prompting LLMs with Structured Outputs (00:51:54) - Demo: Building a Live Web App Inside SolveIt with FastHTML (01:00:24) - Demo: Exploring a Complex API (Cloudflare) (01:08:45) - Creating Custom AI Agent Tools with Zero Boilerplate (01:19:00) - SolveIt Ergonomics: Modes, Secrets, and Keyboard Shortcuts (01:28:30) - The Power of the SolveIt Community (01:30:45) - Who Should Use SolveIt? (01:34:30) - This is Just the Tip of the Iceberg YT Video and links in reply

Hamel Husain

111,916 просмотров • 11 месяцев назад

Why are Taxpayers Funding Private Data Centers? 00:00:00 - Disclaimer & Show Introduction 00:00:33 - Greeting and Show Overview (Carolyn) 00:01:05 - News: DIY Car Internet Disconnection (Lou) 00:02:37 - Discussion on Vehicle Privacy & Older Cars 00:03:34 - News: SAVE Act / Digital ID Concerns 00:04:46 - News: Supreme Court Ruling on Geofencing 00:07:21 - Financial Rebellion Scenarios & Briefing 00:08:49 - News: AI Data Centers in Tennessee 00:09:16 - Taxpayer Funding of Data Centers (Taylor Hudak article) 00:10:59 - Introduction of Guest: Rep. Monty Fritz 00:13:00 - Data Centers – Electricity, Water, Health & Sovereignty Concerns 00:17:24 - Local Moratoriums & Property Rights 00:20:17 - Engaging with Legislators & Public Input 00:22:14 - Public-Private Partnerships & Cronyism 00:23:41 - Cell Towers, EMF & Federal Overreach 00:26:46 - Broadband Infrastructure & Local Investment 00:28:06 - Agriculture, Small Farmers & mRNA Concerns 00:30:23 - Flock Cameras & Surveillance State 00:33:25 - Guardrails for New Technology 00:34:37 - Programmable Money, Surveillance & Control Risks 00:37:08 - Christian Heritage, Liberty & Constitutional Principles 00:39:05 - Federal Dollars vs. State Sovereignty 00:40:27 - Property Taxes & Sales Tax on Groceries 00:44:34 - Cash Usage, Banking & Financial Freedom 00:49:56 - State Sovereignty, Education & Voter Engagement 00:54:14 - Cancel Culture & Civil Discourse 00:56:11 - Federal Education Funding & Curriculum Reform 00:58:03 - Pornography & Obscenity Regulations 00:59:54 - Faith, Boldness & Watchman Responsibility 01:01:25 - The People's Study Is money, which could go towards helping improve Americans’ health, being used for things that could worsen it, such as data centers? Today’s “Financial Rebellion” topic of interest is on the use of taxpayer dollars for technological development and the pushback against the harmful effects of these initiatives. Monty Fritts of Tennessee joins to share his thoughts, from the perspective of a state representative who is also a candidate for the governor of Tennessee. Viewers, be sure to watch!

Children’s Health Defense

20,344 просмотров • 23 дней назад

"If NASA and United States can not beat the Chinese back to the moon, then the moon belongs to the Chinese, and we get what we deserve." You don't want to miss this interview. I met Casey Handmer (Casey Handmer) while flying fighter jets in Montana. I Immediately I knew he had a story to tell. Turns out he wants to tile the United States in solar panels, and use that power to generate rocket fuel and clean water for tens of millions of people. Basically to re-invent American industry. In this interview Casey discusses the innovative pursuits of his company Terraform Industries. He reflects on his previous roles at NASA and JPL, where he was frustrated with the inefficiencies and lack of innovation in traditional institutions. Handmer discusses the importance of ambition, self-awareness, curiosity, and practical experience in hiring and developing talent at Terraform. To fully understand the scope of Casey’s ambitions, you should visit his blog where he discusses things like Mars helicopters and desalination to support a new mega city in California. 00:00:00 - 00:00:17 Geopolitical Stakes: US vs. China in Space Race 00:00:17 - 00:01:17 Interview Introduction: Casey's Background and Topics 00:01:17 - 00:03:10 Podcast Setup and Welcome to Terraform Industries 00:03:10 - 00:04:40 Building History and Manufacturing Interest 00:04:40 - 00:07:17 Meeting at Hangar Event and Aircraft Engineering 00:07:17 - 00:20:45 Early Life: Hands-On Building and Career Path 00:20:45 - 00:40:00 Founding Terraform: Synthetic Fuels Vision and Prototypes 00:40:00 - 01:00:00 Technology Deep Dive: Solar to Hydrocarbons and Scaling 01:00:00 - 01:20:00 Energy Geopolitics and US Reindustrialization 01:20:00 - 01:40:00 Team Building, Hiring Philosophy, and Company Culture 01:40:00 - 02:00:00 Hardware vs. Software Challenges and Entrepreneur Advice 02:00:00 - 02:22:24 Future Visions: Desalination and New Cities 02:22:24 - 02:36:39 Closing Call to Action and Thanks

Penny2x

1,598,196 просмотров • 9 месяцев назад

AI has a trust problem. Verifiability is the solution. Our GM of AI Nima Vaziri sat down with a16z’s Ali Yahya and Dan Boneh of Stanford University to map the deepest fault lines in AI today. ☁️ Models we can’t trust ☁️ Current providers can censor, shut down, or shift rules overnight. Outsourced training hides backdoors. Even “open” weights don’t prove what’s actually running. Trust. Backdoors. Black boxes. The path forward is clear: 🔥 Verifiable evals 🔥 Verifiable inference 🔥 TEEs for hardware-backed integrity 🔥 Infra beyond single points of control 🔥 Blockchains as coordination layers for AI From “trust us” to “verify yourself.” That’s the shift. That’s the unlock. The frontier is here. The builders decide what comes next. Create and use AI that’s incentive aligned with you. Timestamps: 00:00:00 Introduction: AI & Crypto Intersection Overview 00:01:58 Four Major AI-Crypto Trends 00:02:44 AI Agents Need Financial Infrastructure 00:04:03 Proof of Humanity: Fighting AI-Generated Content 00:04:17 Decentralizing AI Infrastructure Networks 00:04:44 Synthetic Life: Autonomous AI Agents 00:06:20 Verifiable AI 00:10:16 Current Performance Numbers for AI Proofs 00:13:18 The Era of Experience in AI Learning 00:14:56 AI Agents Having Life of its Own 00:18:21 Algorithmic Fairness & Verifiable Models 00:23:18 Privacy in AI: Trusted Execution Environments 00:25:47 Economic Incentive for Open Weight Models 00:31:39 Attribution Problem: Who Gets Paid for AI Training? 00:35:52 Content Provenance & Authentication (C2PA) 00:48:03 AI Security: Finding Exploits & Vulnerabilities 00:54:53 Educational Applications: LLMs as Learning Partner 00:58:29 Reliance on LLMs and Cognitive Abilities 01:03:57 Content Providers’ Fear of LLM Training

EigenCloud

62,099 просмотров • 10 месяцев назад