The claim that all information can be expressed as bits is a well-known concept in the field of information theory, pioneered by Claude Shannon in the mid-20th century. This idea has been extensively studied and is supported by various theorems and principles in information theory.
One key theorem that supports this claim is Shannon's source coding theorem, which states that any discrete information source can be compressed into a binary string with negligible loss of information. This theorem has been proven mathematically and is widely accepted in the scientific community.
Additionally, the concept of entropy, which measures the amount of uncertainty or randomness in a system, also supports the idea that all information can be represented as bits. In information theory, entropy is often referred to as the fundamental unit of information, and it can be calculated for any type of information, whether it is text, images, or even sound.
Of course, there may be some limitations to this concept, as there are certain types of information that may not be easily quantifiable or compressible into bits. For example, subjective experiences or emotions may not be easily expressed in binary form. However, in general, the idea that all information can be represented as bits is a well-established and widely accepted concept in the scientific community.