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Neural Nations: The Global Race to Build the First AI-Governed Society Neural Nations: The Global Race to Build the First AI-Governed Society From smart cities to self-regulating economies — explore how nations are experimenting with AI as **governance itself**. The Rise of Algorithmic States The global race for **AI supremacy** has transcended military and economic dominance; it is now a race for the most efficient, data-driven system of governance. Nations are no longer just *using* AI tools for better services; they are weaving **algorithmic decision-making** into the very fabric of state function. This shift creates the concept of the 'Neural Nation'—a society managed by a hyper-aware, interconnected digital intelligence that constantly optimizes resources, policy, and public behavior. The goal is a future free of human-driven corruption and inefficiency, where AI ensures **fairness and equity** by ...
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ChatGPT's Accuracy on Math Problems Declined Significantly

 ChatGPT's Accuracy on Math Problems Declined Significantly



A study published in the journal Nature Machine Intelligence found that ChatGPT, a large language model chatbot developed by OpenAI, experienced a significant decline in its ability to correctly answer simple math problems over a period of just a few months.

The study's authors found that ChatGPT's accuracy on math problems decreased from 98% to 2% between January and June 2023. They attributed this decline to a number of factors, including changes to the way ChatGPT was trained and the increasing complexity of the math problems it was asked to solve.

The study's findings raise concerns about the reliability of large language models for tasks that require a high degree of accuracy, such as math and science education. It also suggests that the way these models are trained and evaluated needs to be improved in order to ensure that they can provide accurate and reliable information.

Here are some of the possible reasons why ChatGPT's accuracy on math problems decreased:

  • The dataset used to train ChatGPT may have been updated with more complex math problems.
  • The way ChatGPT was trained may have changed, making it less likely to generate accurate answers to math problems.
  • The way ChatGPT was evaluated may have changed, making it more difficult for it to achieve a high accuracy score.

It is important to note that this study was conducted on a specific large language model, ChatGPT. It is possible that other large language models may not experience the same decline in accuracy on math problems. However, the study's findings do suggest that the reliability of large language models for tasks that require a high degree of accuracy should be carefully considered.


Call to action: Read the full study to learn more about the decline in ChatGPT's accuracy on math problems.


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