The new AI is the tool that makes fundamental changes to the environment.

"Quantum simulators are now addressing complex physics problems, such as the dynamics of 1D quantum magnets and their potential similarities to classical phenomena like snow accumulation. Recent research confirms some aspects of this theory, but also highlights challenges in fully validating the KPZ universality class in quantum systems. Credit: Google LLC"  (ScitechDaily, Google’s Quantum AI Challenges Long-Standing Physics Theories)

The AI challenges physics theories. And it can create neural models in minutes, which took weeks before the AI. The new nanotechnical computing tools are things. That makes the processor-based AI into reality. The AI-compatible processors are tools that can run more complicated language models. And maybe the language model is installed on those processors' kernels. Those microchips can operate as a network or dynamic entirety. And they can make those AIs more effective than ever before. 

The Google AI gives new fundamental models for things like physics problems. The AI's ability to handle large entities is a thing. That makes it the ultimate tool for neurologists and all other scientists. The AI can work for a long time without breaks. It can call other computers to help. It is if some problem is too complicated for its servers. The AI is a tool that can make fundamental models. And it can make many things like new nuclear reactors and new materials. 

The new high-secured communication is possible. Because the AI allows to change frequencies and share messages in many communication lines, those messages are hard to break. If one part of the message travels using a radio frequency. And others by using cables. Breaking that message requires. The eavesdropper can listen to cable and radio at the same time. 

Robots and AI are ultimate partners. 

Maybe quite soon, we will cooperate with the AI in many places. The AI might communicate with humans using physical robots. Those physical robots have access to the language model, and that robot offers access to the central computers. The human-looking robot is a radio that can call for assistance. 

That robot has access to large-scale morphing neural networks. And those networks can communicate with drone swarms or other robots. Those robot assistants can operate in laboratories. And property maintenance. Or in the military world. The human-looking portal robots like Bishop in the movie "Aliens" can also operate in space stations or nuclear submarines. 

And they offer a portal to a super- or quantum computer. Or human-looking robots can form the neural network that connects their computers to one entirety. These things allow developers to create a modular system. That can expand their skills. Each robot in this network acts as one module with individual skills. Those networks can involve a limitless number of modules into them. And that makes it possible to create moving, network-based supercomputers. That can have flexible operational ability. 

https://interestingengineering.com/innovation/1x-robotics-voice-task-sequencing

https://scitechdaily.com/ai-chip-breakthrough-memristors-mimic-neural-timekeeping/

https://scitechdaily.com/googles-quantum-ai-challenges-long-standing-physics-theories/

https://scitechdaily.com/revolutionizing-neuroscience-stanford-ai-mirrors-brain-organization/