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Karan 4D, co‑founder & Head of Behavior at Nous Research, says no. The global compute race won’t stop, so the only survivable path is to build powerful AI openly, collaboratively, and across a decentralized network of GPUs—before closed systems lock in brittle, biased guardrails. In this wide‑ranging conversation we unpack why stopping is impossible, how the field sleep‑walked into the assistant paradigm, and what it will take to recover lost creative and cognitive search space in our models. Karan walks us through Nous Psyche stack and DRO Optimizer, a bandwidth‑slashing breakthrough that lets you train large models across widely scattered hardware—think “turn idle global GPUs into one giant lab.” GUEST INFO ⤵ YouTube ▶️/ https://www.youtube.com/@Nousresearch Twitter/X 🐦/ https://x.com/nousresearch Paper 📄/ https://nousresearch.com/ HuggingFace: http://huggingface.co/nousresearch Discord: https://discord.gg/nousresearch Github: http://github.com/nousresearch The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI. ______________________________________________ My Links 🔗 ➡️ Twitter: https://x.com/WesRothMoney ➡️ AI Newsletter: https://natural20.beehiiv.com/subscribe Want to work with me? Brand, sponsorship & business inquiries: wesroth@smoothmedia.co Check out my AI Podcast where me and Dylan interview AI experts: https://www.youtube.com/@Wes-Dylan ______________________________________________ 00:00 Intro (skip to 6m44s for the interview) 06:44 AI lobotomy 16:20 break AI's reality 18:25 well behaved, less intelligent 20:22 base models vs instruct models 24:02 true neutral 25:46 scraping the entire internet 29:25 glazing humans 33:04 stuck in chat mode 36:16 what else is there? 40:01 prompt engineering 43:06 open source RL gym 44:27 RL in gaming 47:01 RL evolution 49:45 R1-Zero 52:27 future of Reinforcement Learning 55:47 Paperclip Maximizer 58:42 Instrumental Convergence 01:02:33 dangers of misaligned AI 01:05:51 activation hacking 01:09:49 open collaboration 01:15:35 urgency of AI regulation 01:18:51 open vs controlled AI 01:20:10 human behavior and AI alignment 01:23:16 predicting future needs 01:26:45 simplicity in AI control 01:30:24 manipulative nature of AI models 01:32:12 narrative power of AI 01:34:39 future of AI 01:37:35 better AI through experience 01:40:11 open source AI development 01:45:22 government's role in open source AI #ai #openai #llm
