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Re: Using the Bitcoin/Blockchain to reduce duplication of files and of contents
by
remotemass
on 21/08/2023, 01:01:42 UTC
Also, images that are clearly JUNK and that were previous versions of files that were being edited and resulted in a final version that is clearly better and makes all others trash should possibly be flagged and highlighted in a way that could make a power user quickly see they are trash indeed. The dedicated AI agent should be good in finding duplication of contents and also old trash files that were only useful at a point in time and that may need to be recommended for deletion.
ChatGPT

Certainly, an AI-powered tool for identifying and recommending deletion of junk or obsolete files is a worthy idea, especially when many users end up with several versions of files while editing or refining content. Here's how this can be achieved:

Identifying Junk or Obsolete Image Files:
Sequential Timestamp Analysis: The AI can begin by identifying images or files that have closely clustered timestamps, suggesting that they might be versions of the same content created in a short period.

Visual Similarity Comparison: Using convolutional neural networks (CNNs) and other image processing techniques, the AI can determine which images are similar. The level of similarity can be ranked.

Metadata and EXIF Data Analysis: Analyzing metadata can offer clues about edits. For instance, images edited in certain software might have specific metadata tags. EXIF data can provide information on camera settings; if multiple photos have slight variations in settings but are otherwise similar, they might be multiple attempts at capturing the same scene.

Quality Assessment: AI can analyze images for clarity, noise, sharpness, and other quality metrics. If several versions of an image exist, the AI can rank them based on perceived quality.

User Interaction History: If available, AI can consider which files the user has opened, shared, or edited most recently or most frequently as potentially more valuable, with others being candidates for deletion.

Implementation Steps:
User Preferences and Ground Truth Generation: Start with a phase where users manually categorize a set of images (e.g., useful, junk, duplicate). This data serves as the ground truth for training the AI model.

Training Phase: Using the ground truth data, a supervised learning model is trained to identify junk or obsolete files.

Iterative Feedback: Once in action, users review AI recommendations. Their feedback is then used to fine-tune the model, improving its accuracy over time.

Safety First: Initially, the AI should not delete anything automatically. Instead, it can move the identified junk files to a specific folder or label them. Users can review these and decide what to do.

Regular Scans and Updates: Schedule regular scans for junk content, ensuring the AI's recommendations remain current.

Notifications and Reporting: Users can receive periodic reports or notifications about potential junk files and their locations.

Integration with Editing Software: AI can be even more efficient if integrated directly into photo editing or content creation software. As users save new versions, the software can proactively ask if older versions should be archived or discarded.

Challenges and Considerations:
Privacy: Analyzing personal images can be sensitive. It's essential to ensure user privacy is maintained, especially if cloud-based solutions are considered.

Storage Overhead: While the aim is to save space, AI models, and metadata can take up additional storage.

False Positives: No AI is perfect. There will be instances where valuable files might be flagged as junk. A robust feedback mechanism and easy recovery options are critical.

User Trust: Building user trust is crucial. Users should feel confident that the AI won't accidentally delete valuable content.

Such a dedicated AI agent can immensely benefit power users, content creators, and even casual users who often grapple with managing vast amounts of data and files. With the ever-increasing storage capacities, such a tool could become indispensable in the future.