Takeaways1- Tom discusses his recent trip to Texas and the importance of brisket.2 - Cameron shares his experience with the DGX and running DeepSeek OCR.3 - Tom highlights the funding announcement for LangChain and its implications.4 - Cameron expresses excitement about the new features in Google Gemini.5 - Tom discusses the performance of different AI trading algorithms.6 - Cameron shares insights on the OCR performance comparison between DeepSeek and Tesseract.7 - Tom explains the significance of the DGX in running large models.8 - Cameron discusses the potential for continuous fine-tuning in AI models.9 - Tom shares his thoughts on OpenAI's new browser and its market impact. 10 -Cameron and Tom explore new AI tools and their applications.
Takeaways1- Tom discusses his recent trip to Texas and the importance of brisket.2 - Cameron shares his experience with the DGX and running DeepSeek OCR.3 - Tom highlights the funding announcement for LangChain and its implications.4 - Cameron expresses excitement about the new features in Google Gemini.5 - Tom discusses the performance of different AI trading algorithms.6 - Cameron shares insights on the OCR performance comparison between DeepSeek and Tesseract.7 - Tom explains the significance of the DGX in running large models.8 - Cameron discusses the potential for continuous fine-tuning in AI models.9 - Tom shares his thoughts on OpenAI's new browser and its market impact. 10 -Cameron and Tom explore new AI tools and their applications.DescriptionSummary
In this conversation, Cameron and Tom discuss various developments in the AI landscape, including funding announcements, new tools like Google Gemini, and the performance of AI models in tasks such as OCR and crypto trading. They share personal updates, insights on the DGX system, and explore the implications of recent innovations in AI technology. The discussion also includes hands-on demos of new applications and a look into the future of AI workflows and automation.
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