Brain Workshop VS ReasonML

• Cognitive Enhancement
  Brain Workshop is based on the dual n-back task, a scientifically researched method for improving working memory and fluid intelligence.
• Customizability
  The software allows for a variety of custom settings, enabling users to tailor their training sessions to their individual preferences and needs.
• Open Source
  Brain Workshop is open-source software, meaning it is free to use, modify, and distribute, fostering community contributions and transparency.
• Cross-Platform
  The application is available on multiple platforms including Windows, macOS, and Linux, making it accessible to a wide range of users.
• Regular Updates
  The software receives periodic updates and bug fixes, ensuring it remains functional and up-to-date with new features.

Possible disadvantages

• Steep Learning Curve
  Users may find the dual n-back task challenging to understand and master initially, which could discourage continued use.
• Limited Scientific Support
  While some scientific studies support the dual n-back task, the broader scientific community remains divided on its long-term benefits for cognitive enhancement.
• User Interface
  The user interface of Brain Workshop is somewhat dated and may not be as intuitive or visually appealing as more modern brain training applications.
• Lack of Variety
  The primary focus on the dual n-back task may render the software monotonous for users seeking a broader range of cognitive exercises.
• Resource Intensive
  The application can be resource-intensive, particularly on older computers, which may negatively impact performance.

• Type Safety
  ReasonML offers strong type inference and static type checking, which helps catch errors at compile time rather than at runtime, leading to more reliable code.
• Compiled to Efficient JavaScript
  ReasonML can compile to highly efficient JavaScript through the BuckleScript backend, allowing developers to build performant web applications.
• Interoperability
  ReasonML is designed to interoperate smoothly with JavaScript, which means you can incorporate it into existing JavaScript codebases without major restructuring.
• OCaml Ecosystem
  ReasonML is built on top of the OCaml language, allowing developers to leverage the robust OCaml ecosystem, tools, and libraries.
• Familiar Syntax
  ReasonML provides a syntax that is more familiar and approachable to JavaScript developers, making it easier to adopt and learn.

Possible disadvantages

• Steep Learning Curve
  For developers not familiar with functional programming or OCaml, ReasonML can present a steep learning curve due to its paradigmatic differences from JavaScript.
• Smaller Community
  ReasonML has a comparatively smaller community compared to other languages and frameworks, which might make finding resources or getting support more challenging.
• Limited Libraries
  While it benefits from the OCaml ecosystem, the specific set of libraries and resources for ReasonML is still limited compared to JavaScript and its numerous frameworks.
• Complex Tooling
  Setting up ReasonML projects can be complex due to its tooling and build systems, which might require more time to configure and understand.
• Evolving Language
  ReasonML and its ecosystem are still evolving, with changes and updates that might require developers to frequently adapt their codebases.

Rock Me Archimedes from Marbles Brain Workshop

More videos

ReasonML for Skeptics || Eric Schaefer

More videos

• Try Thinking and Learning Without Working Memory (2008)

  I can attest to the benefits of n-back. I've been doing it for a couple of years now, five days a week for 20-25 minutes. I've noticed a tangible positive difference in both my verbal fluency and my processing speed on days where I... - Source: Hacker News / over 1 year ago

• The Overflowing Brain: Information Overload and the Limits of Working Memory

  Have you tried gluten free ginkgo biloba bee pollen salt lamps? Sorry, I had to. But here's an actual real suggestion that may or may not be any better. It's a working memory trainer that I feel has slightly helped improve my own working... - Source: Hacker News / over 3 years ago

• The Overflowing Brain: Information Overload and the Limits of Working Memory

  There is a good desktop trainer (/game) here: https://brainworkshop.sourceforge.net/ In short, my understanding is that we can't improve it, but that could be very much due to the lack of actual dedicated research. If we could, it would... - Source: Hacker News / over 3 years ago

View more

• Gleam is my new obsession

  Reason (https://reasonml.github.io/) is the JS like syntax for OCaml. - Source: Hacker News / about 1 year ago

• A 10x Faster TypeScript

  OCaml and Haskell already have that nice type system (and even more nice). If OCaml's syntax bothers you, there is Reason [1] which is a different frontend to the same compiler suite. Also in this space is Gleam [2] which targets Erlang... - Source: Hacker News / over 1 year ago

• Ask HN: What less-popular systems programming language are you using?

  > The syntax is also not very friendly IMO. Very true. There's an alternate syntax for OCaml called "ReasonML" that looks much more, uh, reasonable: https://reasonml.github.io/. - Source: Hacker News / over 1 year ago

View more