The understanding of time is fundamental to human consciousness. While we continue to argue whether Artificial Intelligence (AI) can have consciousness, one thing is certain: AI will experience different times. The spirit of its time will not be decided by biology, but by its computational, sensory and communication processes. How will we co -existence with a foreign intelligence that considers and acts in a very different cosmic world?
What does a human mean together
Looking at them, they clap their hands. You see, hear, and feel clap as a single multimodal event – view, audio and touch senses appear together and define “now”. Our consciousness plays these sensory intentions together, although they reach different times: light reaches our eyes, which reaches our ears, while our brain processes audio faster, as it gives complex visual information. Nevertheless, it all looks like a moment.
This confusion stems from an underlying brain system. The brain defines “now” through a brief window of time, during which several sensory perceptions are collected and integrated. This period of time, usually A few hundreds of millisecondsIntegration (TWI) is called Temporal Window. As a proxy for this temporal grid, films with 24 frames per second create confusion of continuous movement.
But human Twi has its limits. See a distant power flash and you will listen to the thunderous thunderous thunder later. Human Twi developed only to sew sensory information simultaneously for events within about 10 to 15 meters. This is our horizon together.
Foreign intelligence information in the physical world
AI is ready to be a standard part of robots and other machines that experience and interact with the physical world. These machines will use rigid sensors for their body, but there are also remote sensors that send digital data from far away. A robot can obtain data from a satellite orbiting a satellite revolving 600 km above the Earth and can consider the data as real time, as the transmission is only 2 ms-cum compared to human Twi.
A human sensors are “hardwide” for the body, which establishes two complexes on how the brain interacts with the physical world. First, the delay of spread from each sensor to the brain is estimated. When there is a sound in the environment, the unexpected factor is the sound source and the distance between our ears; The delay from the ears to the brain is fixed. Second, each sensor is used only by a human brain. Under these complexes, the human horizon developed simultaneously through millions of years, which adapted to help us assess opportunities and dangers. It was worth worrying about a lion at a distance of 15 meters, but there was no possibility of thunder at a distance of 3 kilometers.
Both these campuses will not always be valid for intelligent machines with multimodal perception. An AI system can obtain data from a remote sensor with unexpected link delays. And a single sensor can provide data to many different AI modules in real time, such as the eye shared by many brains. As a result, the AI system will develop its perception of space and time and its own perception of its own horizon, and they will change much faster than the glacial motion of human development. We will soon be co -existed with a foreign intelligence that has a different notion of time and space.
Benefits of AI Time
Things become strange here. AI systems are not limited by biological processing pace and can experience time with unprecedented accuracy, which can discover the reasons and effects relationships that occur very early for human perception.
In our hyper -connected world, it can be widespread Rashomon’s effectWhere many observers give a conflicting approach to events. (The word comes from one Classic japanese film In which many characters describe the same phenomenon dramatically by different methods, each size by their own perspective.)
Imagine a traffic accident in the year 2045 at the intersection of a busy city, seen by three observers: a human pedestrian, an AI system directly attached to the street sensor, and a remote AI system that receives the same sensory data on a digital link. The human simply considers a robot before it crashes in a car before entering the road. Local AI, with immediate sensor access, records accurate orders: the robot is moving forward first, then car breaking, then collision. Meanwhile, the perception of distant AI is diagonally diagnosed in communication, perhaps the braking consider the robot to step into the road before logging. Each perspective provides a different sequence of causes and effects. Which witness will be considered reliable, a human or a machine? And which machine?
People with malicious intentions can use high -power AI systems to create “events” using generative AI, and can include them in the overall flow of alleged phenomena by less competent machines. Humans equipped with extended cosmopics interfaces can especially weaken for such manipulations, as they are constantly taking in digital sensory data.
If the sequence of events is distorted, it can disrupt our feelings of work-exploitation, potentially inhibiting time-matured systems such as emergency response, financial trade, or autonomous driving. People can use the AI system capable of predicting milliseconds before confusing and confusing events. If the AI system predicted an event and transmitted false data at the right time at the right time, it could create a false appearance of work -causes. For example, an AI that can predict stock market movements, publish a fabricated news alert just before an anticipated sale.
Computer Timestamps, not nature
The engineer’s instinct may be to solve the problem with a digital timestamp on sensory data. However, timestamps require an exact clock synchronization, which requires more power than many small devices.
And even if the sensory data timestamp is done, communication or processing delay can be too late to a wise machine to act on data in real time. Imagine an industrial robot in a factory, if a worker becomes very close then the machine is tasked to stop the machine. The sensors detect a worker’s movement and a warning signal – including the timestamp -trips on the network. But an unexpected network is hiccup and the signal comes after 200 milliseconds, so the robot works too late to prevent an accident. Timstamps do not make delay in communication approximate, but they can help rebuild what went wrong after the fact.
Nature, of course, does not put a timestamp on events. We estimate the temporary flow and function by comparing the time of the arrival of event data and integrating it with the world’s brain models.
Albert Einstein Special principle of relativity It was noted that simultaneously depends on the frame of the supervisor’s reference and may vary with speed. However, it has also been shown that the cause of events, the sequence, the sequence that causes the effect, causes the effect, remains consistent to all supervisors. This is not the case for intelligent machines. Due to unexpected communication delays and variable processing time, intelligent machines can perfectly see events in a different reason order.
In 1978, Leslie lamport Addressing this issue for distributed computing, introduced logical watches to determine “Hua” before forming a relationship between digital events. To customize this approach to the intersection of the physical and digital world, we must struggle with a real -world event and unpredictable delay between its digital timestamps.
This important tunnel from physical to digital world is on specific access points: a digital device or sensor, WiFi router, satellites and base stations. Since individual devices or sensors can be hacked quite easily, the responsibility of maintaining accurate and reliable information about time and reasons order will fall rapidly on the nodes of large digital infrastructure.
This vision aligns with development within 6g, upcoming wireless standard. In 6G, the base stations will not only relay the information, they will also understand their environment. The basis of these future stations should become a trusted entrance between the physical and digital world. It can prove to be necessary to develop such techniques because we enter an unexpected future by foreign intelligents by rapidly developed.
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