Monad Labs

The Crypto VC market is still facing headwinds as investors are cautious, with Q2 2023 attracting $2.32 billion in funding, slightly lower than Q1. 

Crypto VC Landscape in 2023: Adapting Strategies Amidst the Winter

Donald Trump Jr. joins Korea Blockchain Week 2025 as keynote, alongside partners Sui, Stable, and 0G, indicating mainstream Web3 engagement.

Why Donald Trump Jr. at KBW2025 Signals a New Era for Web3?

Early integrations are from the ERC-8004 community, KYVE, Monad, Safe, Akave, Storacha, Geo Podcasts, and more.

Introducing Filecoin Onchain Cloud: Verifiable, Developer-Owned Infrastructure

California-based firm CARV has secured over 10 new collaborations across various sectors.

CARV Announces Major Expansion in Web3 Gaming and AI Partnerships

Dragonfly Capital's Haseeb Qureshi, Agora's Nick van Eck, Founders Fund's Joey Krug, and 1inch's Sergej Kunz are among the confirmed speakers.

Borderless Summit To Explore The Era Of Consumer-First Web3 During TOKEN2049 Singapore

This story shows Generators as an explicit but seamless syntax for programs with asynchronous operations, shared mutable state and other side effects. The conversion is based on so-called Monads.

Using Generators as syntax sugar for side effects

I’m an “old guy” in the software world, old enough to have had to enter code on punch cards and be forced to debug assembly by flipping through a 12-inch-thick fan-fold printout. In my first real job at IBM, one of the programmers I worked with (who was an “old guy” even back then) gave me a paper copy of what would now be called a “meme”. It was titled “Real Programmers Don’t Write Specs” (here’s the closest thing I could find online: <a href="http://multicians.org/thvv/realprogs.html" target="_blank">http://multicians.org/thvv/realprogs.html</a>). The last quip always springs to mind when the static vs. dynamic language “debate” rears its head:

Strong Typing is for People With Weak Memories

How many times have you encountered a regression bug in your production code? This can be one of the most demoralizing experiences for a software engineer. You shipped code and were confident it worked. And now it turns out it broke something else. The best way to avoid these bugs is to have tests that check your code for these cases. So how does testing work in Haskell?

Putting Your Haskell to the Test

We should now have a decent grasp on <a href="https://mmhaskell.com/blog/2017/1/30/the-easiest-haskell-idiom" target="_blank">functors</a>, <a href="https://mmhaskell.com/blog/2017/2/6/applicatives-one-step-further" target="_blank">applicative functors</a>, and <a href="https://mmhaskell.com/blog/2017/2/13/finally-understanding-monads-part-1" target="_blank">monads</a>. Be sure to check these articles out if you need a refresher! Now we understand the concepts, so it’s time to learn the <strong>laws</strong> around them.

Obey the (Type) Laws!

In <a href="https://medium.com/@sinisalouc/demystifying-the-monad-in-scala-cc716bb6f534#.1rcp1f12c" target="_blank">one of my earlier articles</a> I tried to explain monads in an approachable way. Here’s an attempt to do the same for some other members of the same family — functors and applicative functors. Even though concepts and principles explained here are general in functional programming, mild accent will be (as usual) on Scala.

Functors and Applicatives

Wallet in Telegram users will be able to deposit, withdraw and trade MON directly within the app. The listing will be accompanied by a dedicated native MON stak

Wallet in Telegram Lists Monad, Enabling Telegram TGE Trading & Expanding MON Distribution

This article was originally posted on the <a href="https://mmhaskell.com/blog/2017/2/20/how-to-read-and-write-with-monads" target="_blank">Monday Morning Haskell blog</a> on February 20th, 2017. Check out <a href="https://mmhaskell.com/" target="_blank">the blog</a> for more Haskell content!

How to Read and Write (with Monads!)

A fundamental concept in functional programming is <strong>composition</strong>. It simply describes the mechanism by which we combine simpler things to build more complicated things, then combine the new resulting things to build higher-complicated things and so on.

From Callback to Future -> Functor -> Monad

LLaMA offers 7B–65B parameter language models trained on public data, outperforming GPT-3 and enabling open, scalable AI research.

To Achieve State-of-the-Art Performance by Training Exclusively on Publicly Available Data

Let’s go through the different kinds of errors and different approaches and try to find the optimal way how to handle errors properly.

Architectural Principles of Error Handling in Ruby

In this study, researchers propose a data quality control pipeline for federated fine-tuning of foundation models. 

Enhancing Data Quality: Conclusion and Future Work, and References

Enhancing Data Quality in Federated Fine-Tuning of Foundation Models: Abstract and Introduction

Explore labyrinthine patterns in Bi films using machine learning, revealing intricate transitions in magnetic domain structures.

Machine Learning Enhanced Characterization of Labyrinthine Structures in Bi-doped Films

Router Protocol has completed an oversubscribed strategic funding round with participation from prominent crypto angels and funds.

Router Protocol Completes Oversubscribed Strategic Funding Round

functional programming emphasizes the use of pure functions, immutability, and advanced techniques like currying, memoization, and monads to create cleaner code

Deep Dive into Functional Programming in Javascript

In this paper, we present a categorical theory of the composition methods in finite model theory – a key technique enabling modular reasoning.

A Categorical Account of
Composition Methods in Logic: Conclusions, Acknowledgments & References

A Categorical Account of
Composition Methods in Logic: Abstract & Introduction

The biggest winners and losers of crypto in 2023 include SBF,CZ, and Elizabeth Warren

The Top Winners and Losers of Crypto in 2023

Dive into Rust's error management with Result, thiserror, and anyhow, ensuring robust error handling in your projects.

Error Management in Rust: Libraries That Support It and Best Practices

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Monad is building the most performant layer 1 blockchain possible, while continuing to support the Ethereum Virtual Machine (EVM) bytecode target that almost all dApp developers use

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Monad Labs's stories on HackerNoon

Crypto VC Landscape in 2023: Adapting Strategies Amidst the Winter

Why Donald Trump Jr. at KBW2025 Signals a New Era for Web3?

Introducing Filecoin Onchain Cloud: Verifiable, Developer-Owned Infrastructure

CARV Announces Major Expansion in Web3 Gaming and AI Partnerships

Borderless Summit To Explore The Era Of Consumer-First Web3 During TOKEN2049 Singapore

Using Generators as syntax sugar for side effects

Strong Typing is for People With Weak Memories

Putting Your Haskell to the Test

Obey the (Type) Laws!

Functors and Applicatives

Wallet in Telegram Lists Monad, Enabling Telegram TGE Trading & Expanding MON Distribution

How to Read and Write (with Monads!)

From Callback to Future -> Functor -> Monad

To Achieve State-of-the-Art Performance by Training Exclusively on Publicly Available Data

Architectural Principles of Error Handling in Ruby

Enhancing Data Quality: Conclusion and Future Work, and References

Enhancing Data Quality in Federated Fine-Tuning of Foundation Models: Abstract and Introduction

Machine Learning Enhanced Characterization of Labyrinthine Structures in Bi-doped Films

Router Protocol Completes Oversubscribed Strategic Funding Round

Deep Dive into Functional Programming in Javascript

A Categorical Account of Composition Methods in Logic: Conclusions, Acknowledgments & References

A Categorical Account of Composition Methods in Logic: Abstract & Introduction

The Top Winners and Losers of Crypto in 2023

Error Management in Rust: Libraries That Support It and Best Practices

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