Google has unveiled its latest creation: Robotic Transformer 2 (RT-2) , a language model that represents an exciting breakthrough in the development of robotic intelligence. While it offers the promise of increased efficiency and productivity in various industries, it also raises questions about its impact on the labor market and society in general.
This innovative vision-language-action (VLA) model has the potential to raise robots to a level of intelligence never seen before, since they can learn both from web data and from robotic experiences, converting this knowledge into generalized instructions for their control, opening up new possibilities for collaboration between humans and machines.
RT-2 to train robots with artificial intelligence
[post_relacionado]RT-2 is an exceptional combination of insights obtained from both the web and robotic data, which are transformed into general instructions for robot control, while maintaining its amazing multilingual language and visual recognition capabilities.
To overcome the challenges machines face in understanding and executing complex commands, Google researchers adapted high-capacity vision-language modeling (VLM) technology for robotic control. The result is RT-2, which is based on the Pathways Language and Image (PaLI-X) and Pathways Language model Embodied (PaLM-E) models as fundamental pillars of its operation.
It represents actions as tokens in its output, allowing it to be described as strings of text that can be processed by standard natural language parsers. This advanced comprehension capability will allow robots to receive and execute complex instructions more efficiently and accurately than ever before.
Could robots replace employees?
Thanks to their ability to understand and execute complex commands, robots are becoming a more viable option to replace humans in a wide variety of tasks and job roles . Tasks that previously required human presence and specialized skills can now be carried out by machines trained on this language model.
A key aspect of the impact on the labor market is the increase in efficiency and productivity that machines can bring to various industries. By being able to learn and generalize from web and robotic data, this innovation enables robots to perform complex tasks with greater precision and speed. This could lead to a reduction in labor costs for companies as they could increasingly rely on highly skilled and efficient machines.
However, increased automation can also pose challenges for human workers. As robots become more proficient at various tasks, some occupations are likely to be replaced by machines . This could result in job losses in certain sectors and require a reassessment of the skills that human workers must develop to stay relevant in the labor market.
On the other hand, the integration of technologies like the one mentioned above could also create opportunities for human-machine collaboration. Advanced robots could take on dangerous or monotonous tasks, allowing humans to focus on more creative and strategic activities.
It is critical to address these challenges equitably and responsibly. The implementation of technologies like this must be accompanied by measures to retrain and redeploy workers who could be negatively affected by automation. In addition, it is necessary to establish regulations and ethical frameworks to guarantee an adequate and safe use of technology.
Source: https://internetpasoapaso.com/google-lanza-modelo-lenguale-entrenar-robots-ia/