Meta has been exposed for using BT to download 2396 adult films to train its AI models, resulting in a lawsuit from the film production company. They are demanding $150,000 for each film, totaling up to $359 million.
The Meta incident is a typical example of the bottlenecks in AI, exposing the difficulties in data acquisition.....
AI models require vast amounts of high-quality data for training, but available data is becoming increasingly scarce! AI companies are venturing into some gray areas to obtain data! This also indicates that it is extremely difficult for a truly excellent AI to stand out in fierce market competition, even for a powerful entity like Meta!
AI is also fiercely competing in every vertical segment, whether it's the source of data or copyright ownership, leading to the emergence of excellent AIs in every field, which may come from Grok, ChatGPT, or some unknown company!
If you need to complete a task that may require countless steps, you certainly hope that each step is assisted by the best AI to make your work as perfect as possible. At this time, coordinating the work becomes very important!
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Sentient's GRID plays such a role, which I call the AI commander. Let's take a look at how it works:
1. Understanding user needs: First, GRID analyzes your task. For example, if you say, "Help me make a short video about travel," it will break the task down into several parts: writing the script, generating images, adding music, editing the video, etc. It will clearly understand what AI skills are needed for each part.
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2. Matching the best AI: GRID connects to various AI models, including those from large companies like Grok or ChatGPT, as well as expert AIs in niche fields. It automatically selects the most suitable one based on speed, accuracy, and cost. For example, using a strong image AI for image generation and a composition professional AI for music.
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3. Coordinating collaborative work: Just like a conductor directs an orchestra, GRID enables these AIs to collaborate step by step. It passes the output of one AI to the next, such as providing a script to the image AI for generating visuals. If a problem arises in the process, it will automatically adjust or switch to another AI to ensure everything goes smoothly.
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4. Optimizing final output: Once all parts are completed, GRID combines them to form a complete result. It will also remember your feedback, becoming smarter for the next task. For example, if you prefer a certain style, it will prioritize that.
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5. Addressing bottlenecks and ethical issues: GRID can help AI companies avoid the pitfalls of data shortages by obtaining resources through secure sharing methods (such as data exchange without disclosing privacy). It also ensures copyright compliance to avoid troubles like those faced by Meta.
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GRID turns the fragmented AI world into an efficient team. It can alleviate the current bottlenecks in AI and promote innovation. @SentientAGI's GRID is about to launch, allowing users to easily enjoy the powerful benefits of multi-AI collaboration!
