The amount of information available to us is increasing rapidly, and with it comes a growing challenge of distinguishing between what is real and what is fake. Even individuals trained in recognizing fake imagery and content generated by language models can find the task of fact-checking and detecting fraud mentally draining. Our brains are being tasked with processing an ever-increasing amount of information, with a 5% increase in daily processing demands each year. This cognitive load is made even more challenging by the background-level effort required to differentiate truth from lies. The problem of disinformation is not limited to high-profile instances of "dezinformatsiya" by state actors, but is manifesting in the form of low-effort gags and other content that is difficult to distinguish from reality, creating a disinformation apocalypse that is already here.

It seems that Codon is a programming language that emphasizes performance and static type checking, while sacrificing some of the dynamic features of Python. According to Shajii, the creator of Codon, the language is designed to have zero overhead and is often comparable to C++ in terms of performance. Compared to Python, Codon can be significantly faster, with performance improvements ranging from 10 to 100 times. However, the trade-off is that some dynamic features of Python are disallowed, and not all Python libraries are currently implemented in Codon.

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