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You are at:Home » Bridging The Gap Between Old School And Modern Character AI
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Bridging The Gap Between Old School And Modern Character AI

Charly SamiBy Charly SamiNovember 16, 2024No Comments4 Mins Read
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Character AI and Crushon AI are both AI chat platforms where you can make your favorite AI Character come to life but for the past few months, there has been an ongoing debate as to which one is better. Even you would be aware of the tremendous diversion of Character AI Old fans to the Crushon AI platform. Let us first give you a brief insight of the gap between the Character AI Old and modern Character AI.

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  • Gap Between Character AI Old and Modern Character AI
    • 1.  Combining Rule-Based & Learning Based Formats
    • 2.          Blend of Symbolic AI & Neural Networks
    • 3.          Transparent Decisions and Improved User Control
    • Outcomes of Crushon AI’s Hybrid Approach

Gap Between Character AI Old and Modern Character AI

Character AI or more specifically here we will call it Character AI Old for your understanding was first developed by Noam and Daniel in 2022 since then it has undergone numerous updates like any other AI Character platform but with the last update enabling NSFW filter on modern Character AI, the loyal users have taken the net by storm with their pleas and objections to removing this filter as this was compromising their generated AI Character in giving the genuine and unrestricted human-like communications and interactions.  

Apart from the NSFW issue, there are a few other challenges Modern AI Character has to overcome if it wishes to maintain its loyal fanbase. In this article, we will cover in detail the difference between old-school and modern Character AI versions and how Crushon AI is bridging that gap.

Crushon AI’s Hybrid Approaches To Bridge The Gap Between Character AI Old And Modern Version

Crushon AI is working on combining the features and techniques used by old-school and modern AI to design an AI Character of hybrid features and qualities.

1.  Combining Rule-Based & Learning Based Formats

An AI Character in old-school AI followed predefined rules making it consistent whereas modern AI operates through machine learning making the AI Character learn and adapt to new situations. Crushon AI blends both rule-based and learning formats that allow the AI Character to adapt to new situations but also learn from previous user interactions making the AI Character adaptable and consistent at the same time.

2.          Blend of Symbolic AI & Neural Networks

The old AI Character acted on symbolic reasoning making a logical and interpretable decision whereas the new AI Character uses neural networks to understand user behavior and give an accordingly human-like response. Crushon AI using both symbolic AI and Neural networking generates a hybrid AI Character that has the advanced capability to understand user behavior and preference and offer an interpreted but logical response that would seem more genuine than any of both techniques used single-handedly.

3.          Transparent Decisions and Improved User Control

A major fault in the modern AI Character is it being a “black box”. Due to neural network processing, the AI Character sometimes responds unpredictably to situations which can defile the desired user experience. Crushon AI is working to enhance an AI Character to be more transparent using its rule-based learning. Hence, the user will have more control over their favorite AI Character which would make the interaction fun and safe at the same time.

Outcomes of Crushon AI’s Hybrid Approach

With the ongoing hybrid approach of Crushon AI to merge Character AI Old and Modern Character AI, different industries such as gaming are using NPCs, and the health sector and customer support services are all set to utilize the Crushon AI platform to design AI Character programmed to act virtual assistants that will handle and solve user queries. With the ongoing progression and development, it seems not too far a view that Crushon AI Characters will rule the entire AI industry.

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