New Prompting Method Enhances LLM Problem-Solving
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Humanoid robots are taking huge steps in their abilities. Reinforcement learning now combines with advanced robots, making them more capable. Imagine a robot that can get you a cup of coffee even after being hit with a baseball bat. It's both amazing and a bit funny to think about.
Recently, a company called Forer Intelligence revealed a new vision system for their robot, GR1. This vision system, named V, uses a Transformer and occupancy network to help the robot see and navigate its surroundings. Seeing a robot move around like this is exciting for many people.
This new vision system allows the robot to understand its environment, making it more useful. It's not just a science project; it's a step toward robots being able to work in real-world situations. Right now, these robots are good at certain tasks. They can do things like run around and avoid humans or obstacles. As they get better, they will do even more amazing things.
Humanoids are robots that look and move like humans. This can be a bit creepy, but it's also very interesting. These robots can work both indoors and outdoors. They can navigate complex environments, which is crucial for them to be more helpful in our daily lives. In one to three years, we might see even more advanced humanoid robots. They could perform tasks we never thought possible.
The development of AI models is also moving fast. For example, the GPT-3 model had the intelligence of a toddler. Then, the GPT-4 model came out, smarter like a high school student. In the next few years, we might get AI models with the intelligence of a PhD researcher. This means they will be very skilled in specific tasks.
Some statements from AI leaders like Mira Morati at OpenAI suggest different timelines for these advancements. There might be some confusion, but the exciting part is the progress we are making.
In summary, advancements in AI and robotics are moving quickly. From robots that can navigate complex environments to AI models becoming smarter, the future looks promising. Watching these technologies develop will be fascinating.
