5 Enjoyable Subjects to Bring Up with Your AI Chat Partner

AI chat partners are akin to the stiff, robotic chatbots of yore - and no wonder, engineered by developers and technological marvels. Now, however, the chat partners learn how to converse more like people than ever, from the rapid-fire response to the expected delayed interactive discussions that can edge on TMI.

Enhanced Narrative Development Through Role Play

If you're a developer or creative yourself, an AI roleplay chat room is the perfect way to play with story and character development. Since newer AIs can remember past interactions, there's the opportunity for a continuous story that grows.

Evaluate these narrative prompting questions to see what it can remember from before to substantiate where it now needs to go:

"You're a virtual reality speakeasy and I'm the resistance hacker who needs to meet you there in your dystopic universe."

"I'm the advanced AI you saw in your time 2025 and I'm the one who got sent back from 2150. You just got into my source code...literally. What now?"

"We're at another trade conference? Oh right, it's you again!"

However, what's fascinating about this from a technological perspective is that state persistence and context management enable the AI to remain in a stable position for the duration of the game. Playing with it is enjoyable, yet simultaneously championing real-life developments of context windows and memory management currently being undertaken by AIs. According to many, it's a great way to foster real-world transfer with practical incremental data processing and natural language generation.

Social Interaction Laboratory

Conversational AI creates a comfortable, low-stakes environment in which experimentation with tone and style of communication is welcomed. This is important for developers and tech people interested in the different paths of response triggered by different conversational prompts.

Experiment with the peer relationship hierarchy of conversation, for example, by posing:

"I'd like to collaborate on that project - I haven't had the chance yet - but what's your project? You may be surprised by what my answer is."

"And if we could collaborate anywhere in the world, where would be the most conducive to productivity?"

"I can be your co-panelist at the upcoming technology conference - how will you position our presentation?"

These examples of engagement with state-of-the-art AI chat experience programs illustrate how contemporary NLP models engage with nuanced social expectations even further, teaching about AI capabilities and natural human tendencies even more.

Humor Understanding and Production

Perhaps one of the hardest things for humans to understand and produce is humor. Thus, by engaging in such frivolous banter, you come to realize how well the models of today understand nuance, sarcasm, and social/cultural allusions - key facets of natural language processing.

Humor Assessments

Want to see what a language model thinks is real and plausible or not? This interactive assessment is a fun way to explore how sentiment detection and language processing context work from a language model's point of view. Should you want to explore such findings further, you'd have excellent fodder for later.

Philosophical Assessments

Want to understand how a language model comes to conclusions about logic? The best way to assess is to involve it in the discussion. These transcriptions show how able - or not - current technology is to understand abstract concepts, apply logical bounds and remain consistent through paths of complication.

As I asked questions that barely challenge the logic edge for the AI - "What happens if, right now, everyone knows everyone else's information?" and "What does it mean to be sentient on our part if we have AIs?" - she answered in an enlightening way and in an almost simplistic one - expected, since these questions are speculative for the future and we have existed in abstraction for too long.

But in a filmic realm where AIs are governed by philosophy, they're either omniscient or exceptionally ignorant; therefore, the real world in which we live exists on a pendulum between both extremes, where AIs can so heavily justify between the lines, yet fail to comprehend when it becomes too abstract.

Collaborative Creation Workshops

Perhaps the easiest use case to implement immediately is using AI collaborators for collaborative creative projects. Whether coding and application development or content creation, these tools serve as rapid extensions of your brain.

You could say to the AI gaming companion:

"Let's create a microservice that will be able to parse natural language. What components will we need?"

"Help me build a character backstory for my AI character in my techno-thriller. What abilities and limitations would cause conflict?"

"Let's brainstorm some novel use cases for blockchain that overlap with green technology."

What's most advantageous about AI chat and the implication for a creative future is access to prevent cognitive fixations - the inability to think outside of one's established box. AI can provide viewpoints one might not otherwise go to explore, it can provide solutions for when someone feels creatively blocked, and it can provide new juxtapositions of ideas that come to mind super quickly but flesh out over time in a mind of one's own.

Generational Difference in AI Use

The biggest difference between using AI now and one generation ago is a more customized response. Where one generation ago someone might have received more generic responses across the board, today's programs respond to how one talks to them, what one cares about, the technical elements, and the slight nuances of conversations making for an increasingly less generic experience over time.

Yet even better is the sustained continuity. Because humans fatigue, forget, and become interested at varying speeds and intervals, AIs are forever in sync - whether a cliffhanger is difficult to understand or the response a week later in a thread of a multi-episode offering. Thus, they are ideal for extensive workshopping and conversations that require long-term investment into more nuanced, complex issues.

These chat AIs are practical and fun for the developers, tech-savvy, and aspiring geniuses of the world - tools and experiments, rather, of what natural language processing can do and is doing, right now, at this precise moment.

So next time you want to learn more about a new technical term you've stumbled across, want to workshop something with a colleague, or are just plain curious about what AI can do these days, dedicate some time to exploring extended dialogue with one of these systems. You'll be surprised what it can do for you - and maybe for itself - in return for a little more nuanced engagement.