What do AI generative chatbots still lack?

Question

Andrew C. · Accepted Answer

good internet response times

Tatiana Vdovychenko · Answer

AI generative chatbots have come a long way, but they still have some limitations. They often lack true understanding and context, which can lead to responses that are off-topic or lack depth. Additionally, they struggle with nuanced human emotions, humor, and complex reasoning. They can also produce biased or incorrect information if their training data contains such flaws. While they're great for many tasks, they still need improvement in handling complex conversations and understanding the subtleties of human communication. Here is a good example: https://jetsoftpro.com/success-s...

Sue Buist · Answer

@yixotieq  It is available now for both Android and iOS.  It is called Mim Advisor

Sue Buist · Answer

@yixotieq  I am  just about to launch a chatbot that deeply understands the user.  Our chatbot provides answers that are values based.  The user can complete our exercise to define their values system, then the chatbot will use their information instead of the default.  We are also working on how to reduce the amount of information a user has to input to get personalized interactions.  Our goal is to build a chat bot that really gets the user.

Answer

Yep, they often lack self-awareness of their own limitations and biases. They need better meta-cognition to know what they don't know, question their assumptions, and seek out additional information when uncertain. And more humility to acknowledge the limits of their knowledge and reasoning.

Marc-Oliver Gewaltig · Answer

Clearly the humbleness to question their answers when they are unsure and then to try to find the correct answer through research.

Zane Ryan · Answer

@sue_buist Be sure to let me know when it launches!

Zane Ryan · Answer

There is a lack of means to understand the user, and we can only passively receive data.

Entering a large amount of text each time is a very tiring task for most people.

Answer

They may struggle with maintaining context over long conversations or understanding nuanced context.

What do AI generative chatbots still lack?

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