Episode 109: Unpacking the Nuances of Deep Seek with Austin Lyons
In this conversation, Jay Goldberg and Austin Lyons delve into the emergence of Deep Seek, an AI lab that has gained attention for its innovative models and unique approach to AI development. They discuss the origins of Deep Seek, its self-funded nature, and the implications of its advancements in the context of geopolitical constraints. The conversation highlights the lab's offerings, including its reasoning models and mixture of experts, and explores how Deep Seek has managed to innovate despite hardware limitations. The discussion also touches on the future of AI scaling and the ongoing debate about the effectiveness of simply increasing computational resources. In this conversation, Austin Lyons and Jay Goldberg discuss the advancements in AI, particularly focusing on Deep Seek's contributions to scaling AI models, improving training efficiency, and the implications of these innovations on the market dynamics. They explore how Deep Seek has demonstrated that there are still many avenues for enhancing AI capabilities, despite the prevailing belief that the field has plateaued. The discussion also delves into the technical aspects of training and inference efficiency, the challenges faced by AI labs, and the importance of hardware optimization. Ultimately, they conclude that while Deep Seek is making significant strides, it does not pose a direct threat to established players like OpenAI.
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48:17
Episode 108: MWC Observations, MRVL and AVGO Earnings, Apple's new Devices
In this episode, Ben Bajarin and Jay Goldberg discuss the recent Mobile World Congress (MWC) in Barcelona, reflecting on its relevance in the current tech landscape, particularly in the telecom and semiconductor industries. They explore the shift in focus from traditional mobile technologies to AI and data centers, the challenges faced by telecom operators, and the evolving role of software in the industry. The conversation also touches on Qualcomm's positioning, the dynamics of network processors, and humorous observations about the latest innovations, including humanoid robots and AI avatars. Finally, they tease an upcoming discussion about Apple's modem technology and its implications for the market. In this conversation, Ben Bajarin and Jay Goldberg discuss the recent earnings reports of Marvell and Broadcom, analyzing the competitive dynamics in the semiconductor market. They delve into Marvell's challenges with customer relationships and market positioning, contrasting it with Broadcom's strategic advantages. The discussion also touches on the implications of Apple's product updates and the overall market sentiment regarding capital expenditures and technology investments.
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46:07
Episode 107: NVIDIA Earnings and Peak Nvidia? (Sentiment Wise)
In this episode, Ben Bajarin and Jay Goldberg discuss Nvidia's recent earnings report, market reactions, and the implications for the future of AI and the company's stock performance. They analyze the current state of Nvidia's business, including product segmentation, enterprise demand, and geopolitical factors affecting the market. The conversation also touches on the volatility of Nvidia's stock and the behavior of retail investors in the context of AI advancements.
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37:59
Episode 106: Apple C1 Modem! More Intel Rumors (FUD!) Previewing Nvidia Earnings
In this episode, Ben Bajarin and Jay Goldberg discuss Apple's recent announcement of their C1 modem and the new iPhone 16E. They explore the implications of Apple's entry into modem technology, the positioning of the iPhone 16E in the market, and the potential impact on Qualcomm. The conversation also delves into the integration of modem technology within Apple's ecosystem and the future of 5G in Apple's products. In this conversation, Jay Goldberg and Ben Bajarin discuss the strategic moves of major tech companies like Apple and Broadcom, the ongoing challenges faced by Intel, and the implications of government intervention in the semiconductor industry. They also delve into the current state of the AI market, particularly focusing on Microsoft and Nvidia, and speculate on future earnings and market dynamics.
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42:50
Episode 105: Sanity Check on Custom ASICS?
In this episode, Ben Bajarin and Jay Goldberg delve into the ongoing debate between ASICs and GPUs in the AI compute landscape, discussing the implications for companies like NVIDIA and AMD. They explore the role of custom silicon in hyperscalers' strategies and the potential for GPUs to regain market share. The conversation then shifts to the often-overlooked world of analog semiconductors, highlighting their significance in various applications, including automotive and robotics. The hosts emphasize the need for a deeper understanding of analog technology as it becomes increasingly relevant in the evolving tech landscape.
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