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

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.