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

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Tir_AL

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owockai

213,989 görüntüleme • 1 yıl önce

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
3:10:29

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

10,608 görüntüleme • 5 ay önce