Hi everyone! I'm a psychology student currently exploring possible topics for our research, and I'd love to hear your thoughts on an idea I have.

I've noticed how AI-generated drama stories have become popular on Facebook and TikTok, especially stories about cheating spouses, family betrayal, inheritance disputes, revenge, and other dramatic situations.

What caught my attention is how some people, particularly middle-aged adults, seem to get hooked on these stories. They watch one video, then another, and another. Sometimes, they intend to watch for only a few minutes but end up spending much more time watching than they originally planned.

This got me thinking: Could this be related to compulsive viewing?

I'm interested in exploring why some middle adults repeatedly watch these AI-generated stories and whether they experience difficulty controlling or stopping their viewing, even when they have other responsibilities.

I'm considering a qualitative study that explores their experiences, motivations, and perceived effects on their daily lives.

However, before developing this idea further, I'd like to ask:

• Do you think this is an interesting and worthwhile topic for a psychology research study? • Do you think focusing specifically on AI-generated stories makes the topic more interesting, or would it be better to study short-form video content in general? • Is compulsive viewing an appropriate psychological concept for this topic, or would another concept be more suitable? • Do you think focusing on middle adults is a reasonable approach? Why or why not? • What potential research gaps or challenges do you think I should consider?

I'm open to constructive criticism, suggestions, and alternative perspectives. I want to make sure the topic is not only interesting but also researchable and meaningful from a psychological perspective. I really appreciate your honest opinions. Thank you!

I genuinely want to learn mathematics, physics, programming, computer science, and AI. I want to build a career in computer science, pursue AI research, and hopefully do a PhD someday. But lately, I've been feeling increasingly demotivated.

The problem is that I rely on AI to learn almost everything. Whenever I have a question, I ask GPT. Whenever I don't understand a concept, I ask AI to explain it. And the more I learn this way, the more I wonder: What's the point of learning anything when AI will always know more than I ever could?

Even the most basic AI models seem to possess more knowledge than I could acquire in a lifetime. And with new models becoming increasingly capable, I keep wondering whether the knowledge I'm working so hard to gain will even matter in the future.

With GPT-6, Claude Opus 5.5, Gemini 4, and other models competing to become more capable, it feels like the gap between human intelligence and AI capabilities will only continue to grow.

I want to understand the mathematics behind AI, learn physics, become a better programmer, and contribute to actual research. But sometimes I question why I'm putting in the effort when AI can explain concepts faster, write code better, and potentially solve problems that I might spend years learning to solve myself.

And even when I genuinely want to learn, I'm confused about what I should prioritize learning and whether any of it will remain valuable by the time I become proficient.

I'm not necessarily saying that learning is useless. I genuinely love the idea of understanding how things work. But I'm struggling to reconcile that curiosity with the feeling that AI might eventually outperform me at almost everything I want to become good at.

For those of you studying computer science, mathematics, physics, or AI, how do you deal with this feeling? How do you stay motivated to learn when AI is advancing so rapidly? Do you think deep technical knowledge will still matter for people pursuing AI research and PhDs, or should we be approaching learning differently now?

So a little context, I have done my bachelors in design and now about to finish my masters in design. I have done a few internships during my bachelors and joined masters programme in design immediately after. Now I will be done with masters and thinking about phd. My doubt here is, is it a good decision to directly go to phd or should I get some industry experience? I am interested in research as well. One of the ideas I’m currently looking into is uneven development theory, ai and design. Any suggestion is welcomed.