OpenAI使用AI编程给出了数数问题的解决方案 —— 如何解决ChatGPT不会数数的问题

总所周知的一个问题，那就是ChatGPT不会数数，不过今天突然发现OpenAI给出了一个神奇的解决方法，那就是AI编程。

问题案例如下：

The text provided will be analyzed to calculate the word count.

text = """

There has been rapidly growing interest in meta-learning as a method for increasing

the flexibility and sample efficiency of reinforcement learning. One problem in

this area of research, however, has been a scarcity of adequate benchmark tasks.

In general, the structure underlying past benchmarks has either been too simple to

be inherently interesting, or too ill-defined to support principled analysis. In the

present work, we introduce a new benchmark for meta-RL research, emphasizing

transparency and potential for in-depth analysis as well as structural richness.

Alchemy is a 3D video game, implemented in Unity, which involves a latent

causal structure that is resampled procedurally from episode to episode, affording

structure learning, online inference, hypothesis testing and action sequencing based

on abstract domain knowledge. We evaluate a pair of powerful RL agents on

Alchemy and present an in-depth analysis of one of these agents. Results clearly

indicate a frank and specific failure of meta-learning, providing validation for

Alchemy as a challenging benchmark for meta-RL. Concurrent with this report, we

are releasing Alchemy as public resource, together with a suite of analysis tools

and sample agent trajectories

"""

"""Counting the number of words in the text"""

word_count = len(text.split())

word_count

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没有想到，OpenAI居然使用这种方法来解决ChatGPT不会数数的问题，真的是一个good idea.