Leonard Lee (neXt Curve), Karl Freund (Cambrian AI Research), and Jim McGregor (Tirias Research), try to make sense of a world of AI and semiconductors that has gone truly mad. Drama and volatility are the only ways to describe what we witnessed in July with AI agent swarms going rogue, a frantic effort to save open-weight models from being banned by the U.S. government, and AMD coming to market with their first rack-scale AI supercomputing system to take on NVIDIA’s dominance.
➡️ AMD Advancing AI 2026 highlights (3:47)
➡️ AMD + Cerebras partnership for inference AI (4:18)
➡️ AMD’s strategy for heterogeneous AI inference compute (7:04)
➡️ AMD touts CPU portfolio and diversity for AI (10:34)
➡️ Is agentic AI compute the same as AI training compute? (13:57)
➡️ Is AMD’s ecosystem 18-month behind NVIDIA’s? (17:29)
➡️ Could ROCm.ai be a CUDA equalizer for AMD? (19:46)
➡️ Are we in the infancy of AI still? (24:54)
➡️ Will closed AI models and labs continue to lead? (26:34)
➡️ AI for security vs. AI for threat actors. Who wins? (33.39)
➡️ Is the gigawatt a good metric for “AI capacity”? (37:57)
➡️ QUANTUM NEWS! IBM acquires HRL Laboratories (43:58)
➡️ What to make of Intel’s public commitment to 14A? (43:58)
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