ChatGPT, as you are surely aware, is a powerful AI model developed by OpenAI that can generate meaningful and coherent text in response to human input.
With artificial intelligence and robotics becoming more common in our society, it’s amazing to see engineers breaking through barriers and discovering new ways to improve the usefulness of these machines.
Santiago has done just that by merging ChatGPT with Boston Dynamics‘ robot dog, Spot, for improved communication and other benefits.
Santiago has combined Google’s text-to-speech technology, allowing users to ask Spot questions by voice, and Spot can react in real-time via ChatGPT. As a result, a robot dog is created that can understand inquiries, parse through documents, and make responses.
Spot responds to questions about its battery level, mission details, and more in Santiago’s demo video. Spot can even nod and move its head to indicate yes or no, which makes it even cuter.
Every day, robot dogs perform automated activities, utilising sophisticated and lengthy setup files that only a professional understands.
The robot dog collects a large amount of data after each mission, but there is no simple way to retrieve that data at any given time. ChatGPT is the solution, making configuration files and data querying easier to understand.
Some may be concerned about incorporating AI into robots because the idea of robots using an AI model to communicate with humans conjures up images of a dystopian future in which robots revolt against their creators. However, for the time being, the goal is to improve task efficiency through the use of robot dogs.
Incognito in ChatGPT
OpenAI is developing a “incognito mode” for its popular chatbot that does not record users’ interaction history or use it to improve its artificial intelligence.
The San Francisco-based business has announced plans for a “ChatGPT Business” subscription with enhanced data restrictions.
The move comes as questions have been raised about how ChatGPT and other chatbots inspired by it manage hundreds of millions of users’ data, which is often used to improve or “train” AI.
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