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2025. 05. The Herta🪄 [1/2] 🎞️ : Tir_AL 🎤 : 🍒 CherryRuby_VA🎙🔞 (COMMISSIONS OPEN) 🔊 : Evilaudio #HonkaiStarRail #theHerta

Tir_AL

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1,182,555 次观看 • 1 年前 •via X (Twitter)

NSFW #HonkaiStarRail #theHerta

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THE Bitcoin Podcast

13,687 次观看 • 7 个月前

NEW! vitalik.eth joins the greenpill.network podcast today to talk about Web3 Public Goods Funding in 2025. This episode is part 1 of a 2 part series. In ep 1 we discuss: TIMESTAMPS 00:00 - Intro 2:18 - Why Public Goods? 03:17- Private vs. Public Goods 05:20 - Challenges of Funding Public Goods 06:13 - Intrinsic Motivation and Public Goods 07:16 - Funding Models for Public Goods 09:18 - Digital Ecosystem and Public Goods 10:12 - Revenue Curve and Public Goods 11:36 - Decentralization vs. Domination 13:05 - Competitive Advantage of Public Goods 15:01 - Resilience Through Public Goods 17:07 - Broader Impact of Ethereum 19:18 - Escape Velocity Theory 19:51 - Importance of Public Goods 21:31 - Diversity in Funding Entities 23:44 - Challenges in Funding Public Goods 26:02 - Scaling Funding Needs 27:04 - Hybrid Funding Models 29:09 - Institutionalizing Funding 31:00 - Layer Two Solutions 31:59 - Importance of Scaling Funding 34:00 - Moralism in Ecosystem Dynamics 36:22 - Quality Allocation of Funding 37:26 - Diversity of Funding Mechanisms 39:34 - Stability in Funding Mechanisms 41:09 - Prediction Markets for Public Goods 42:27 - Info Finance Concept 44:36 - Distilled Human Judgment Mechanism 46:52 - Governance as a Lego Concept 47:58 - Forking Protocol Guild 50:54 - Discussion on Ethereum Critique 51:57 - Auto Public Goods Funding 53:11 - Tokenization and Open Source Funding 53:49 - Evaluating Funding Mechanisms 54:48 - Finding High Leverage Projects 56:19 - Challenges in Distribution 57:32 - Public Goods Funding in 2025 59:36 - Outro

NEW! vitalik.eth joins the greenpill.network podcast today to talk about Web3 Public Goods Funding in 2025. This episode is part 1 of a 2 part series. In ep 1 we discuss: TIMESTAMPS 00:00 - Intro 2:18 - Why Public Goods? 03:17- Private vs. Public Goods 05:20 - Challenges of Funding Public Goods 06:13 - Intrinsic Motivation and Public Goods 07:16 - Funding Models for Public Goods 09:18 - Digital Ecosystem and Public Goods 10:12 - Revenue Curve and Public Goods 11:36 - Decentralization vs. Domination 13:05 - Competitive Advantage of Public Goods 15:01 - Resilience Through Public Goods 17:07 - Broader Impact of Ethereum 19:18 - Escape Velocity Theory 19:51 - Importance of Public Goods 21:31 - Diversity in Funding Entities 23:44 - Challenges in Funding Public Goods 26:02 - Scaling Funding Needs 27:04 - Hybrid Funding Models 29:09 - Institutionalizing Funding 31:00 - Layer Two Solutions 31:59 - Importance of Scaling Funding 34:00 - Moralism in Ecosystem Dynamics 36:22 - Quality Allocation of Funding 37:26 - Diversity of Funding Mechanisms 39:34 - Stability in Funding Mechanisms 41:09 - Prediction Markets for Public Goods 42:27 - Info Finance Concept 44:36 - Distilled Human Judgment Mechanism 46:52 - Governance as a Lego Concept 47:58 - Forking Protocol Guild 50:54 - Discussion on Ethereum Critique 51:57 - Auto Public Goods Funding 53:11 - Tokenization and Open Source Funding 53:49 - Evaluating Funding Mechanisms 54:48 - Finding High Leverage Projects 56:19 - Challenges in Distribution 57:32 - Public Goods Funding in 2025 59:36 - Outro

owockai

213,967 次观看 • 1 年前

In 2025 AI coded full bacteriophage genomes that work better than anything found in nature. And crushed top virologists in a test of lab troubleshooting – beating human specialists in their area of expertise 45% to 22%. What could go wrong? But destroying the 'tacit knowledge' barrier to bioweapons development is just the beginning. AI can design crypto-ricin, likely as deadly as normal ricin, which evades the best gene synthesis screening available. PhDs with Claude nearly breached Anthropic's 'critical danger threshold' for bioweapons development. But most tests are still on undergrads: they're cheaper to hire. Russia, Iran, and North Korea all have active biological weapons programmes. And even the most dangerous biological AI tools are so open that limiting proliferation is near impossible in the near-term. The situation feel hopeless so I spoke to one of the world's top authorities on 'AI-Bio', Dr Richard Moulange, to find out why this situation isn't as bleak as it sounds. He proposes a range of shovel-ready projects, none of which fully solve the problem, but all of which would help move the needle: 1. Screen DNA synthesis orders. (Incredibly this is voluntary now.) 2. Give defenders a preview of models before they're fully public. 3. Def/acc: Stockpile broad-spectrum vaccines that cover entire virus families. 4. Prevent AI expertise in 'mirror bacteria', as their only use is mass murder. 5. Surveil waste-water to spot engineered pathogens before they spread. 6. Invest in intelligence so if a state releases a bioweapon, that can be proven, and the state punished. 7. Limit access and improve refusals to buy time. (FWIW to me the situation still seems very bad.) On the 80,000 Hours Podcast, wherever you get podcasts. Links below — enjoy! 01:11 AI can now design novel bacteriophage genomes 04:42 The end of the 'tacit knowledge' barrier 18:50 Are risks from bioterrorists overstated? 23:14 The 3 key disasters AI makes more likely 30:43 Which bad actors does AI help the most? 42:07 Experts are more scary than amateurs 47:32 Barriers to bioterrorists using AI 49:43 AI biorisks are sometimes dismissed (and that’s a huge mistake) 1:05:12 Advanced AI biology tools we already have or will soon 1:10:57 Rob argues that the situation is hopeless 1:19:38 Intervention #1: Limit access 1:34:28 Intervention #2: Get AIs to refuse to help 1:44:18 Intervention #3: Surveillance and attribution 1:58:28 Intervention #4: Universal vaccines and antivirals 2:12:01 Intervention #5: Screen all orders for DNA 2:21:57 AI companies talk about def/acc more than they fund it 2:28:44 Can you build a profitable business solving this problem? 2:33:08 This doesn't have to interfere with useful science (much) 2:35:16 What are the best low-tech interventions? 2:40:17 Richard's top request for AI companies 2:55:44 Grok shows governments lack legal levers 2:58:54 Best ways listeners can help fix AI-Bio

In 2025 AI coded full bacteriophage genomes that work better than anything found in nature. And crushed top virologists in a test of lab troubleshooting – beating human specialists in their area of expertise 45% to 22%. What could go wrong? But destroying the 'tacit knowledge' barrier to bioweapons development is just the beginning. AI can design crypto-ricin, likely as deadly as normal ricin, which evades the best gene synthesis screening available. PhDs with Claude nearly breached Anthropic's 'critical danger threshold' for bioweapons development. But most tests are still on undergrads: they're cheaper to hire. Russia, Iran, and North Korea all have active biological weapons programmes. And even the most dangerous biological AI tools are so open that limiting proliferation is near impossible in the near-term. The situation feel hopeless so I spoke to one of the world's top authorities on 'AI-Bio', Dr Richard Moulange, to find out why this situation isn't as bleak as it sounds. He proposes a range of shovel-ready projects, none of which fully solve the problem, but all of which would help move the needle: 1. Screen DNA synthesis orders. (Incredibly this is voluntary now.) 2. Give defenders a preview of models before they're fully public. 3. Def/acc: Stockpile broad-spectrum vaccines that cover entire virus families. 4. Prevent AI expertise in 'mirror bacteria', as their only use is mass murder. 5. Surveil waste-water to spot engineered pathogens before they spread. 6. Invest in intelligence so if a state releases a bioweapon, that can be proven, and the state punished. 7. Limit access and improve refusals to buy time. (FWIW to me the situation still seems very bad.) On the 80,000 Hours Podcast, wherever you get podcasts. Links below — enjoy! 01:11 AI can now design novel bacteriophage genomes 04:42 The end of the 'tacit knowledge' barrier 18:50 Are risks from bioterrorists overstated? 23:14 The 3 key disasters AI makes more likely 30:43 Which bad actors does AI help the most? 42:07 Experts are more scary than amateurs 47:32 Barriers to bioterrorists using AI 49:43 AI biorisks are sometimes dismissed (and that’s a huge mistake) 1:05:12 Advanced AI biology tools we already have or will soon 1:10:57 Rob argues that the situation is hopeless 1:19:38 Intervention #1: Limit access 1:34:28 Intervention #2: Get AIs to refuse to help 1:44:18 Intervention #3: Surveillance and attribution 1:58:28 Intervention #4: Universal vaccines and antivirals 2:12:01 Intervention #5: Screen all orders for DNA 2:21:57 AI companies talk about def/acc more than they fund it 2:28:44 Can you build a profitable business solving this problem? 2:33:08 This doesn't have to interfere with useful science (much) 2:35:16 What are the best low-tech interventions? 2:40:17 Richard's top request for AI companies 2:55:44 Grok shows governments lack legal levers 2:58:54 Best ways listeners can help fix AI-Bio

Rob Wiblin

10,505 次观看 • 3 个月前

🎬 Project Odyssey Season 2: Rules Are Live! 🚀 Creators, filmmakers, and innovators: this is YOUR time. Compete for $70,000+ in cash prizes and unlock $750,000 in free tools starting December 16th. 🎥 9 Categories: 1. Narrative 2. Music Video 3. Marketing 4. Trailers 5. Rendering 6. Social Media 7. Open Format 8. Behind-the-Scenes 9. Sponsored Tools 📋 Competition Rules: • Submissions must have a title and description. • Max length: 15 minutes | Max file size: 20GB | Format: .mp4 or .webm. • Use at least 1 generative AI tool in a significant way. • Films must be completed between 10/18/2024 and 1/16/2025. • Featuring real people? Follow the real-people guidelines. • Zero tolerance for discriminatory content. ✨ Optional Recommendations: • Use original IP, fictional brands, and royalty-free music to avoid takedowns. • Credit tools, teams, and add the Project Odyssey logo in your credits. • Share a Behind-the-Scenes video to showcase your process. 📖 Full Rules Here: 🚀 Free tools unlock December 16th; it’s time to bring your vision to life. 🎟 Sign up now: A Special Thank You to Our Sponsors This competition wouldn’t be possible without the incredible support of our sponsors: • Title Sponsors: Civitai ElevenLabs Kling AI Lambda ViggleAI • Gold Sponsors: realdreams.io ThinkDiffusion Hailuo AI (MiniMax) Hedra Nebius AI Studio Nebius Runpod Higgsfield AI 🧩 • Silver Sponsors: Cartesia Secret Level, Salad Paddle neural frames Comfy UI Summit • Bronze Sponsors: Leonardo.Ai LTX Studio Curious Refuge ComfyUI @CogVideo Saga - Innovative Tools for Filmmakers Genmo AI LA Playbook 🪄🎨 Tripo Morph Studio DomoAI official Magnific.ai Freepik Haiper AI Machine Cinema zero1cine Rubbrband fal FBRC.ai

ProjectOdyssey.ai

47,369 次观看 • 1 年前