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Users lack transparency in AI reasoning models, hindering understanding of the decision-making process

In the current situation, users are facing limitations in AI-based tools as they struggle with less effective coding assistance, limited reasoning capabilities, and inability to handle complex prompts effectively.

Less effective coding assistance, limited reasoning capabilities, and inability to handle complex prompts effectively are the drawbacks of the old situation.

With Google deprecating Universal Analytics and not migrating data to Analytics 4, users face the issue of not being able to view both old and new analytics data in a single dashboard.

Users currently rely on basic AI models that struggle with complex reasoning tasks, resulting in less accurate decision-making.

Traditional models in machine learning and AI are often heavyweight, requiring significant computational resources which limits accessibility for smaller organizations or individual developers.

Users face limitations in AI models that only support single-mode input/output, restricting the integration of diverse data types like text, audio, and images.

Drawbacks: Lack of efficiency, restricted capacity to process multimodal inputs, limited support for advanced AI-assisted tasks.

The current situation involves scientists and researchers relying on existing weather forecasting methods that may not be as advanced or precise. The drawbacks of this old situation include a lack of access to real-time and historical data and less sophisticated prediction models that can limit the accuracy and speed of research, disaster response, and other weather-dependent activities.

Users looking to generate high-quality images from text descriptions face challenges with existing models.

Drawbacks: Existing models may lack detail, have poor lighting, and contain distracting artifacts, resulting in lower-quality images.

Musicians and creators struggle to find inspiration or lack the technical skills to produce music matching their specific vision, leading to unfulfilled creative potential and ideas. The major drawbacks are the lack of technical skills and the inability to bring specific musical visions to life.

Users are currently utilizing less advanced AI models for reasoning tasks, which may not effectively demonstrate their thought processes and can lead to misunderstandings. The drawback of this old situation is that AI lacks the ability to show its thoughts to improve performance and explainability.