Google tested a table tennis robot against 29 humans. The robot played at four skill levels, from beginner to advanced. The robot scored in the middle, showing it can be like an intermediate amateur.
But it couldn't be an advanced player. The robot has limits in reaction speed, camera sensing, spin control, and paddle rubber accuracy. These are hard to model well in simulations. When simulations get better, robots will improve a lot. Better data collection will help too. This shows Google is still doing important AI research, even if their chatbot isn't the best. They mix this research with robotics.
A former Google officer said there's no long-term plan anymore. In five years, the world will look very different. Changes in AI, synthetic biology, and global climate are fast. Any company planning five years ahead may struggle. The speed of change in AI cycles makes the future unpredictable.
Planning for the long-term is tough today. The unknown factors and their effects are hard to predict. This makes it difficult to prepare for the future. The former officer created a community focused on post-AGI (Artificial General Intelligence) economics. He aims to help people prepare for the unpredictable future.
He shares that many changes happen daily that people don't notice. Preparing for these changes in life and business is important. So, staying aware and adaptable is key. This also hints at why Google invests in both AI and robotics research to stay ahead.
In conclusion, the constant change in AI and other tech areas makes future planning a challenge. Companies and individuals need to be flexible and ready for surprises. Keeping up with rapid advancements will be crucial for success.