Are LLMs up to date by the minute to train daily?
Analysis
This Reddit post from r/ArtificialIntelligence raises a valid question about the feasibility of constantly updating Large Language Models (LLMs) with real-time data. The original poster (OP) argues that the computational cost and energy consumption required for such frequent updates would be immense. The post highlights a common misconception about AI's capabilities and the resources needed to maintain them. While some LLMs are periodically updated, continuous, minute-by-minute training is highly unlikely due to practical limitations. The discussion is valuable because it prompts a more realistic understanding of the current state of AI and the challenges involved in keeping LLMs up-to-date. It also underscores the importance of critical thinking when evaluating claims about AI's capabilities.
Key Takeaways
- •Real-time LLM training is computationally expensive and energy-intensive.
- •Continuous updates are not always feasible or necessary for all LLM applications.
- •Critical evaluation of AI claims is crucial to avoid misconceptions.
“"the energy to achieve up to the minute data for all the most popular LLMs would require a massive amount of compute power and money"”