Can AI evolve to become true creators? 🧠💡
Imagine your AI assistant fueling your scientific breakthroughs!🤖
There are several milestones to consider in this pivotal evolution of #AI/#LLMs. Let’s look at some of them!👇🧵

1. Understanding contextual cues 📚🔍
The models need to be able to grasp nuanced contextual cues, in order to achieve genuine creativity!
Many research breakthroughs await with this pivotal understanding, as creativity improves with more integrated and meaningful information.

2. Incorporating intuition 🤔
It’s necessary to implement methods to emulate human-like intuitive processes, in order to allow AI to generate novel and creative content in scientific research.💭
But are intuition and human understanding perfectly computable properties? We don’t know yet!

3. Emotional intelligence 🤖❤️
AI should be able to emulate and resonate with human emotions. Our creativity in science and research is also underpinned by this human quality.
This is probably the hardest step ahead, given that there is an ineffable gap between simulating emotions and experiencing them!

4. Ethical considerations 🌐⚖️
AI should simulate reflexivity, addressing issues of bias, fairness, and the potential societal impacts of its outputs.
Beyond these 4 steps, what do you think are the important milestones ahead for AI? Share your thoughts!🗣️
#AIEthics #AIevolution