Make invalid laziness unrepresentable in Haskell (h2.jaguarpaw.co.uk)

A recent development in the Haskell programming community addresses the intricate issue of thunk leaks caused by invalid laziness in data structures. Traditionally, lazy fields in Haskell can remain unevaluated, leading to potential performance pitfalls as thunks can grow arbitrarily large. The introduction of the `strict-wrapper` library offers a solution by allowing developers to define strict versions of nested data types, thereby making invalid lazy states unrepresentable. For example, the new `BarStrict` data type can encapsulate valid states while avoiding unnecessary thunk exposure through its design. This advancement is significant for the AI and machine learning community, where memory efficiency and predictable performance are crucial. By employing strictness annotations and the `strict-wrapper` library, Haskell programmers can mitigate memory leaks associated with lazy evaluations. The library provides an ergonomic and efficient way to handle basic types without the overhead of more complex alternatives like `deepseq`, which evaluates entire data structures. This approach ultimately allows developers to focus on building robust applications while minimizing the risk of memory issues, enhancing Haskell's suitability for AI/ML workloads.