Ben Goertzel on DeepSeek And The Path To AGI скачать в хорошем качестве

Ben Goertzel on DeepSeek And The Path To AGI

In this video, Dr. Ben Goertzel, CEO of SingularityNET, TrueAGI and the Artificial Superintelligence Alliance (ASI Alliance), analyzes DeepSeek LLM as an efficiency advancement rather than an AGI breakthrough. The model's open-source implementation and technical architecture (mixture of experts and multi-token training) improve accessibility while maintaining performance. This development demonstrates the continued democratization of AI capabilities and may redirect industry focus toward alternative computing architectures and decentralized systems. 0:00 Intro 00:33 Initial Thoughts on DeepSeek 01:25 Efficiency Gains and Their Implications 02:58 Technological Singularity and Rapid Advances 04:07 DeepSeek's Underlying Technology 07:27 Open Source Approach and Its Benefits 09:58 China's Role in AI and Open Source 12:20 Broader Implications for AI and AGI 15:42 Conclusion: The Path to Technological Singularity #AGI #Deepseek #AI ---- SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive, and beneficial Artificial General Intelligence (AGI). An AGI is not dependent on any central entity, is open to anyone, and is not restricted to the narrow goals of a single corporation or even a single country. The SingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. Our core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts, and entertainment. Website: https://singularitynet.io X: https://x.com/SingularityNET Instagram:   / singularitynet.io   Discord:   / discord   Forum: https://community.singularitynet.io Telegram: https://t.me/singularitynet WhatsApp: https://whatsapp.com/channel/0029VaM8... Warpcast: https://warpcast.com/singularitynet Mindplex Social: https://social.mindplex.ai/@Singulari... Github: https://github.com/singnet Linkedin:   / singularitynet