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Artificial General Intelligence (AGI) & AI Computing Update (with Karl Freund)
Manage episode 429739350 series 3556820
Leonard Lee에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Leonard Lee 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
In this installment of the neXt Curve reThink Podcast Silicon Futures series, Leonard Lee of neXt Curve and Karl Freund of Cambrian-AI Research talk catch up after a far-too-long hiatus and talk about the state of AI supercomputing and Karl's new area of research, AGI (Artificial General Intelligence).
The duo talk and debate about:
- Karl's new research area - Artificial General Intelligence (AGI) (01:58)
- Is there a better way than LLMs to get to AGI? (06:30)
- The great illusion of intelligence (8:45)
- Will NVIDIA need to reinvent itself and its approach to AI? (11:55)
- Huang's Curve and the scaling wall (18:06)
- The profit in Generative AI (23:00)
- The consequences of the yearly cadence of AI supercomputing (27:00)
- Is interconnect and networking or CUDA the real NVIDIA moat? (28:29)
- Cerebras, the different way of looking at AI supercomputing (36:00)
- Apple's mystery Apple Silicon server chip (39:37)
- Qualcomm's growing AI supercomputing footprint (41:30)
- What does NVIDIA Rubin mean to Karl? (44:46)
Remember to like, subscribe to the neXt Curve reThink YouTube channel. Also, follow neXt Curve by subscribing at www.next-curve.com.
Check out Cambrian-AI Research at www.cambrian-ai.com and get in touch with Karl Freund on LinkedIn. You can also read his research on Forbes where he has a column.
124 에피소드
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