As artificial intelligence (AI) continues to evolve, one aspect that has been gaining considerable attention is generative AI. Despite the skepticism surrounding new technological trends, generative AI has promising potential, particularly in robotics. Beyond robotics, its influence is expected to permeate other aspects of our lives, changing how we interact with technology. “Generative AI is not just the future of robotics, but a key player in dictating the course of our technological landscape.”
The Rise of Generative AI in the Wake of Crypto
While the hype around cryptocurrency was deflating, projects such as ChatGPT and DALL-E were gaining traction in the wings. Unlike crypto, the potential of generative AI is backed by a near-universal agreement that AI and machine learning will play more central roles in our lives.
One of the areas where the influence of AI is evident is smartphones. The advent of computational photography, a blend of hardware and software, has significantly improved end products and accessibility. Google’s editing features like Best Take and Magic Eraser are prime examples of this.
Generative AI: The “Wow” Effect
Generative AI is known for its “wow” effect. The ease with which it can generate paintings and short stories based on a few words typed into a dialogue field makes it accessible and intriguing. That’s partly why it caught on so quickly. Unlike many emerging technologies that require users to visualize their potential, you can experience it firsthand with generative AI.
However, this also poses a challenge in managing expectations. Without a fundamental understanding of AI, it’s easy to project intentionality. It’s crucial to balance grabbing attention and providing a realistic experience of the technology’s capabilities and limitations.
Generative AI in Robotics: Expert Insights
Once it became apparent that generative AI could play a pivotal role in the future of robotics, it sparked numerous conversations among experts. These discussions revealed a vast array of potential applications for generative AI.
The possibilities are boundless, from using modern generative AI techniques to teach robots tasks based on human demonstrations to employing them for robot design. In both these scenarios, generative AI has shown the potential to offer faster, more efficient solutions.
Researchers at Northwestern University recently used AI to design a robot capable of walking, demonstrating yet another use of generative AI in robotics. The design algorithm, “instant evolution,” generated a blueprint for a robot that could walk on land in seconds. This experience showcased the potential of generative AI in creating complex systems.
The Future of Generative AI
Many experts see Generative AI’s potential in robotics and beyond as a game-changer. Jeff Linnell, Formant founder and CEO, believes that generative AI, symbiotic with robotics, will change everything we know about life on Earth.
As AI continues to evolve, we are expected to interact with robots using natural language, requesting actions that the robot can understand and execute. While it might take some time for this vision to become a reality, it is clear that the influence of generative AI will extend far beyond robotics, reshaping the technological landscape.