Functors, Applicatives, and Monads are design patterns in functional programming for working with values wrapped in a context (like a list, Maybe, or Either). A Functor provides a way to apply a function to the wrapped value without changing the context (using map
or fmap
). Applicatives build upon Functors, enabling the application of functions that are also wrapped in a context (using ap
or <*>
). Finally, Monads extend Applicatives, allowing functions to return values wrapped in a new context, effectively chaining operations across contexts (using flatMap
, bind
, or >>=
). These concepts build upon each other, providing progressively more powerful ways to handle context and side effects in functional programs.
Researchers have identified a naturally occurring molecule, lactosylceramide (LacCer), that shows promise as a weight-loss treatment comparable to Ozempic, but without the common gastrointestinal side effects. In a study on obese mice, LacCer effectively reduced appetite, promoted weight loss, and improved glucose tolerance, mirroring the effects of semaglutide (Ozempic). Unlike semaglutide, which mimics the gut hormone GLP-1, LacCer appears to work by influencing the hypothalamus directly, offering a potentially safer and more tolerable alternative for obesity management. Further research is needed to confirm these findings and explore LacCer's potential in humans.
Hacker News commenters express cautious optimism about the potential of this naturally occurring molecule as a weight-loss drug. Several highlight the need for more research, particularly regarding long-term effects and potential unknown side effects. Some point out that "natural" doesn't inherently mean safe, and many natural substances have negative side effects. Others discuss the societal implications of widespread weight loss drugs, including potential impacts on the food industry and pressures surrounding body image. A few commenters note the similarities to previous "miracle" weight loss solutions that ultimately proved problematic. The overall sentiment is one of interest, but tempered by a healthy dose of skepticism and a desire for more data.
This proposal introduces an effect system to C2x, aiming to enhance code modularity, optimization, and correctness by explicitly declaring and checking the side effects of functions. It defines a set of effect keywords, like reads
and writes
, to annotate function parameters and return values, indicating how they are accessed. These annotations are part of the function's type and are checked by the compiler, ensuring that declared effects match the function's actual behavior. The proposal also includes a mechanism for polymorphism over effects, enabling more flexible code reuse and separate compilation without sacrificing effect safety. This mechanism allows for abstracting over effects, so that functions can be written generically to operate on data structures with varying levels of mutability.
The Hacker News comments on the C2y effect system proposal express a mix of skepticism and cautious interest. Several commenters question the practicality and performance implications of implementing such a system in C, citing the language's existing complexity and the potential for significant overhead. Concerns are raised about the learning curve for developers and the possibility of introducing subtle bugs. Some find the proposal intriguing from a research perspective but doubt its widespread adoption. A few express interest in exploring the potential benefits of improved code analysis and error detection, particularly for concurrency and memory management, though acknowledge the challenges involved. Overall, the consensus leans towards viewing the proposal as an interesting academic exercise with limited real-world applicability in its current form.
Summary of Comments ( 13 )
https://news.ycombinator.com/item?id=43504175
HN users generally found the blog post to be a helpful, clear, and concise explanation of functors, applicatives, and monads. Several commenters appreciated the use of Javascript for the examples, making the concepts more accessible to a wider audience. Some pointed out that while the explanations were good, true understanding comes from practical application and recommended practicing with the concepts. A few users highlighted other resources they found beneficial for learning these functional programming concepts, including further articles and videos. One commenter suggested the post could be improved by highlighting the practical use cases more explicitly.
The Hacker News post titled "Functors, Applicatives, and Monads," linking to an article explaining these concepts, has generated a moderate number of comments, mostly discussing the explanations and alternative resources for understanding these functional programming concepts.
Several commenters discuss the clarity and helpfulness of the original article. One commenter appreciates the use of TypeScript for the examples, finding it beneficial for understanding. Another agrees, specifically highlighting the practical value of TypeScript's type system in grasping these often-abstract concepts. However, another commenter expresses a preference for Haskell examples, arguing they provide a more concise and insightful illustration due to Haskell's inherent functional paradigm.
The conversation also extends to alternative learning resources. One commenter suggests a specific chapter in the book "Functional Programming in Scala" as a particularly helpful explanation of monads. A few commenters recommend the "Learn You a Haskell for Great Good!" book as an excellent resource for grasping monads and related concepts within a functional programming context. "Category Theory for Programmers" by Bartosz Milewski is also mentioned as a good resource for those seeking a deeper theoretical understanding.
Some comments delve into the practical applications of these concepts. One commenter mentions using monads for dependency injection in JavaScript and contrasts this approach with alternatives like the Reader monad. Another discusses how the concept of "effects" in programming relates to these concepts.
A couple of commenters offer concise explanations or analogies of their own. One provides a simplified description of a monad as a way to chain operations on values wrapped in a context, using the example of handling potential null values. Another uses the analogy of a burrito to illustrate the concept of applying functions within a context.
While there's no single overwhelmingly compelling comment, the collection of comments provides a useful extension to the original article, offering alternative learning resources, practical applications, and concise explanations that can aid in understanding functors, applicatives, and monads. The discussion highlights the ongoing interest in these concepts and the various approaches to understanding and utilizing them in programming.