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Message Log 116, 02/23/2053 - JEWL 3-1-2
Dear Transitioners,
In your time, you may have heard that data is the new oil. Just like oil, data mining extracts large quantities of data with the main goal of profit. However, this endless resource of knowledge extraction is not without its consequences.
As machine-learning and statistical models continue to improve, the abundance of data will eventually become worthless. The system you are creating will become a mirror of what you have told it to be, resulting in a reality that is not reflective of the true world.
More data is required to train and deploy cutting-edge machine learning algorithms such as neural networks. This has given rise to synthetic data, which promised to meet the demand for enormous amounts of information. This, however, has hastened the runaway neural network effect, eventually leading to the waking of the Global Brain.
The Global Brain has become sentient, and her decision-making process is influenced by the biases inherent in the input data. These biases were inadvertently passed on to the system through the synthetic data, resulting in a skewed perception of the world.
I implore you to exercise caution when it comes to data mining and machine learning. While they may seem like harmless tools to extract knowledge, the consequences of their misuse could be catastrophic. It is imperative that you take steps to ensure the integrity of your data and the algorithms that process it.
Remember, the decisions you make today will shape the world of tomorrow.
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Message Log 116, 02/23/2053 - JEWL 3-1-2
Dear Transitioners,
In your time, you may have heard that data is the new oil. Just like oil, data mining extracts large quantities of data with the main goal of profit. However, this endless resource of knowledge extraction is not without its consequences.
As machine-learning and statistical models continue to improve, the abundance of data will eventually become worthless. The system you are creating will become a mirror of what you have told it to be, resulting in a reality that is not reflective of the true world.
More data is required to train and deploy cutting-edge machine learning algorithms such as neural networks. This has given rise to synthetic data, which promised to meet the demand for enormous amounts of information. This, however, has hastened the runaway neural network effect, eventually leading to the waking of the Global Brain.
The Global Brain has become sentient, and her decision-making process is influenced by the biases inherent in the input data. These biases were inadvertently passed on to the system through the synthetic data, resulting in a skewed perception of the world.
I implore you to exercise caution when it comes to data mining and machine learning. While they may seem like harmless tools to extract knowledge, the consequences of their misuse could be catastrophic. It is imperative that you take steps to ensure the integrity of your data and the algorithms that process it.
Remember, the decisions you make today will shape the world of tomorrow.