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Many observers were disappointed with the latest AI demo.”Optimus“Robot at Tesla’s Artificial Intelligence Day. One reviewer cleverly titled His article “Sub-Optimus”. However, these opinions actually miss the point. Whatever may be said about Elon Musk, he is a genius at sensing timing and opportunity, applying technology and providing needed resources.
The quality and enthusiasm of the engineering team indicates that Optimus can succeed, even if it takes longer than the estimated 3-5 years to fully produce. If you succeed, Optimus can achieve the character robots into the mainstream within a decade.
Although initially priced at $20,000, the 2032 Optimus sibling could be just as common in stores or factories as today’s Tesla on the road. Fast forward another 10 years and human-like robots In everyday life it can be a common occurrence, whether at home, in stores and restaurants, in factories and warehouses, or in health and home care settings.
Artificial Intelligence Noise: Interacting with Robots
In this vision, the idea of an “artificial friend”, an emotionally intelligent Android as portrayed by Kazuo Ishiguro in Clara and the sun, does not seem far-fetched. nor “digients” (short for “digital entities”), as described by Ted Chiang in The life cycle of software objects. Digital servers are artificial intelligence created within a purely digital world that inhabits a shared digital space (much like the emerging metaverse) but can also be downloaded into actual bots so that they can interact with people in the real world.
The ability of people to interact with the robot appears to be the key to the successful implementation of the robot. At least that’s the opinion of Will Jackson, founder and CEO of engineering artswho recently He said: “The ‘real killer application’ of a robot is people’s desire to interact with it.”
Could this robot vision be completely unrealistic and nothing more than science fiction or entrepreneurial hype? That’s the view of some, says Michael Hiltzick of the Los Angeles Times. He said, “Artificial intelligence propaganda not only poses a danger to ordinary people’s understanding of [robotics] field, but it poses the risk of undermining the field itself.” He is right about this, and it is certainly important to exclude hype from reality.
Hiltzik may be missing the arc of history. Today’s robots, much like the field of expanding Artificial intelligence (AI), still in its early days. However, the rate of progress is enormous. While Optimus is years from a finished product and there are still many technical and cultural hurdles, it is impossible to ignore the extraordinary pace of progress. In just a year, Optimus has gone from idea to a bipedal, mobile robot. It’s a growing field because Tesla isn’t alone in building a humanoid robot. For example, a team of engineers from Rochester Institute of Technology (RIT) has announced a humanoid robot that can teaching tai chi.
A long way to go to achieve AI-powered robots
It is very difficult to build robots that mimic the actions of humans. that EE Times article Describe these challenges. “From a mechanical perspective, for example, moving on two legs (walking on two legs) is a very physically demanding task. In response, the human body has evolved and adapted so that the strength density of human joints in areas such as the knees has become very high.” In other words, it is very difficult for bots to stay upright.
Despite these challenges, real progress has been made. Oregon State University researchers recently created a Guinness World Record for a running robot. 100m dashComplete the course in less than 25 seconds. The team has been training Cassie since 2017, using reinforcement-learning AI algorithms to reward the robot when it moves correctly. The principal investigator noted the importance of the record He said: “[Now we] It can make robots move powerfully around the world on two legs.” Although impressive, the human body not only remains straight, but navigates the world through a highly complex sensory system.
“The hardest part is creating a machine that interacts with humans in a natural way,” according to To Nancy J. Cook, Professor at Arizona State University. Re-creating it in Android is still in its infancy. This is now among the most troubling challenges for Optimus and other robotic efforts.
AI automation takes center stage
Human robotics are made possible by artificial intelligence, and artificial intelligence is moving forward with the help of triple exponential growth of computer power and software and data development.
Perhaps there is no better example of this rapid advance in AI than Natural Language Processing (NLP), particularly in terms of text generation and text-to-image conversion. OpenAI released its first text-to-image tools in February 2019 using GPT-2, followed by GPT-3 in June 2020, DALL-E for text-to-image conversion in January 2021, and DALL-E 2 in April 2022. Each iteration was much more capable than Previous versions.
Additional companies are working to push these technologies forward, such as MidJourney and Stable Diffusion. Now the same phenomenon is happening with converting text to video, with many new applications coming out recently from deadAnd the The GoogleAnd the CynthiaAnd the glia cloud and others.
NLP techniques are quickly finding real-world applications, from code development to advertising (from copywriting to image creation), and even filmmaking. in last articleHow would you describe the creative artist? Karen X. Cheng Tasked with creating a file generated by artificial intelligence Cover Photo for worldwide. Used to help create ideas and the final image DALL-E 2.
the crow, a video created by artificial intelligence, recently won the Jury Prize at the Cannes Short Film Festival. to me Create videoComputer artist Glenn Marshall has fed video frames of Existing video As a picture reference to CLIP (Contrastive Language – Image Pre-training), another text-to-image neural network also created by OpenAI. Then Marshall asked CLIP to Create a video A crow in a wasteland.
If only he had a brain
Of course, building an NLP application is not the same as robots. While computing power, software, and data are common denominators, the physical aspect of building robots that need to interact with the real world adds challenges beyond software automation development. What robots need is a brain. Amnesty International Researcher Philip Bekniewski Business Insider said: That “robots don’t have anything even beyond the brain.” This is largely true today, although what NLP offers is the beginning of the need for brain robots to interact with humans. After all, the main function of the human brain is the ability to perceive and interpret language and transform it into contextually appropriate responses and actions.
Neuro Linguistic Programming (NLP) has already been used In chatbotsSoftware robots that facilitate communication with people. December project, a text chat bot developed with GPT-3 – Help people get closure by “talking” to their deceased loved ones. Bot developer Jason Rohrer He said From the December Project: “It may not be the first intelligent machine. But it appears to be the first machine with a soul.” Intelligent robots with a soul that can walk and manipulate objects would be a huge advance.
This progress is close, although it may take a decade or more for robots to roam the globe. Optimus and other robots today are mostly simple machines that will grow in capabilities over the next two decades to become fully developed artificial humans. We have now begun the era of modern robotics.
Gary Grossman is Senior Vice President of Technology Practices at Edelman and global leadership of the Edelman AI Center of Excellence.
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