Mixture of Experts
DeepSeek-V3-0324, Gemini Canvas and GPT-4o image generation
Mar 28, 2025
In this discussion, Kate Soule, Director at Granite, and Kush Varshney, IBM Fellow in AI Governance, dive into the future of open-source AI models. They talk about the latest DeepSeek-V3-0324 release and its implications for model evaluation beyond traditional benchmarks. The conversation shifts to Google's innovative Gemini Canvas and 2.5 feature, enhancing real-time coding experiences. They also explore the rising trends in AI image generation with OpenAI's GPT-4o, analyzing its cultural impact and ethical considerations.
41:43
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Quick takeaways
- The rise of open-source AI models suggests they may dominate by 2026, emphasizing the importance of task-specific performance metrics over general benchmarks.
- Innovative technologies like thermodynamic computing could potentially transform AI hardware, highlighting the need for alternative computing paradigms to meet evolving demands.
Deep dives
The Future of AI Models
The discussion around the emergence of open-source models suggests that they may dominate the AI landscape by 2026. Experts argue that rather than identifying a single top model, the focus should shift to understanding the diverse performance metrics across various tasks. Differences in performance between models are often minimal, raising questions about the practicality of benchmarks in real-world applications. Ultimately, the most suitable model will be the one that best addresses specific task requirements rather than one that ranks highest on general metrics.
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