Gene Munster, Managing Partner at Deepwater Asset Management with over 25 years in tech, and Josh Pantony, CEO of Boosted.ai, dive into the implications of a recent model from Chinese AI startup DeepSeek. They discuss the potential impact on industry giants like Nvidia and the challenges investors face in this fluctuating market. The conversation highlights the intersection of AI and investment strategies, exploring how machine learning can enhance portfolio management amidst ongoing geopolitical and technological uncertainties.
Open source AI, exemplified by Meta's Llama model, enables startups like RightSee to innovate competitively against larger tech companies.
The launch of DeepSeek highlights concerns about the reliability of AI models, emphasizing the need for cautious investment strategies amid market fluctuations.
Deep dives
The Power of Open Source AI
Open source AI, such as Meta's free Llama model, provides a unique opportunity for innovation, particularly for startups like RightSee. This company leverages the model to create Job Search Genius, an AI tool designed to assist job candidates in writing resumes, conducting mock interviews, and mastering salary negotiation tactics. The availability of such tools democratizes access to advanced technology, allowing smaller companies to compete with larger players. The podcast highlights the significance of open source platforms in fostering creativity and efficiency in the tech landscape.
Market Reactions to DeepSeek
Investors are showing heightened nervousness regarding the recent developments in AI trading technologies, particularly with the launch of DeepSeek. The discussion focuses on how the substantial fluctuations in the NASDAQ can lead to dramatic market reactions based on news about AI advancements. Questions surrounding the cost of training new models and their operational efficiency highlight the uncertainties faced by major hardware companies. The implications of DeepSeek's launch signify a potential shift in valuation dynamics for AI-related stocks, particularly Nvidia.
Challenges and Realities in AI Adoption
While DeepSeek presents a breakthrough in reducing costs for AI training, there are ongoing challenges regarding trust and accuracy in AI model outputs. The discussion centers on the limitations observed, including biases and error rates that hinder the reliability of AI in critical scenarios, especially in finance. Industry experts caution against rushing to conclusions about the effectiveness of new technologies until they demonstrate consistent and accurate results. As companies adopt AI, understanding its limitations is crucial for developing trust and determining long-term strategies in investment and operations.
Gene Munster, Managing Partner at Deepwater Asset Management, joins to discuss Chinese AI startup DeepSeek's new model raising questions about the dominance of US tech companies like Nvidia. Kim Forrest, Founder and CIO of Bokeh Capital Partners, discusses today's DeepSeek news and market impact. Josh Pantony, CEO of Boosted.ai, discusses DeepSeek news and the AI space.