#DeepSeek has been making waves recently, and it's incredible to see how effectively it learns and adapts. If you missed it, check out my previous post (? ) where I highlighted its impressive capabilities. I also noticed that its coding capabilities are quite impressive—it helped me complete a significant prototype in just a few hours, which would otherwise have taken me several weeks. Today, its impact is truly undeniable.
That said, I've observed that in certain areas, #DeepSeek still falls noticeably behind #ChatGPT or Gemini. For example, during a brainstorming session, someone took notes like the one in the titled image. While ChatGPT excels at analyzing and summarizing such notes with clarity, DeepSeek seems to struggle, delivering subpar results that miss the mark in this case:
ChatGPT summarized as:
And Gemini did it as:
It’s fascinating to see how different AI models showcase unique strengths and weaknesses depending on the task. What are your thoughts on this? Have you noticed similar trends or have other insights to share?
