A computationally bounded agent can act as if they have more computational resources through externalising cognition into their environment. For example, we can use pen and paper to solve maths problems, and effectively simulate an agent that has a larger working memory. This is one reason why shard-theoretic agents may be adaptive. This is also one reason why mech interp is extremely hard in the limit.