Welcome to HackerNoon Decoded: The Best of 2024

Welcome to HackerNoon Decoded—the ultimate recap of the stories, writers, and trends that defined 2024! Discover the stories that dominated HackerNoon, meet the top writers who captivated our readers, explore the most popular tags, and celebrate the standout readers who shaped our community. Let’s dive into the best of 2024! https://www.youtube.com/watch?v=2NGY05fA8go&embedable=true :::tip Dive into Your … Read more

5 Cities That Developed New Crypto Projects and Initiatives in 2024

Distributed Ledger Technology (DLT) and cryptocurrencies are everywhere now, being applied in a wide range of industries. From finance to supply chain management, these technologies are driving innovation and reshaping how businesses and individuals interact. The adaptability of DLT has also caught the attention of governments worldwide, inspiring them to create platforms tailored to their … Read more

Hawk and Griffin Models: Superior NLP Performance with Minimal Training Data

:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal contributions; (4) Aleksandar Botev, Google DeepMind and with Equal contributions; (5) George Cristian-Muraru, Google DeepMind and with Equal contributions; (6) Albert Gu, Work done while at … Read more

From WhatsApp to Web3: How Kaia is Turning 200M Asian Users into Crypto Natives

In an exclusive interview, Eddie Kim and Ashwani, the visionaries building Kaia, share their journey from traditional sectors to spearheading one of the most ambitious blockchain projects in Southeast Asia. In this compelling ‘Behind the Startup’ series, we dive deep into the minds of two leaders who are reshaping how blockchain technology integrates with everyday … Read more

Griffin Models: Outperforming Transformers with Scalable AI Innovation

:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal contributions; (4) Aleksandar Botev, Google DeepMind and with Equal contributions; (5) George Cristian-Muraru, Google DeepMind and with Equal contributions; (6) Albert Gu, Work done while at … Read more

An OpenAPI Plugin Is All You Need to Create Your Own API Documentation

API documentation is critical in enabling developers to understand and utilize your API effectively. High-quality documentation ensures that your API is accessible, user-friendly, and capable of driving adoption among your target audience. If you already use Docusaurus to manage your technical documentation, you can seamlessly leverage its ecosystem to integrate API documentation using the OpenAPI … Read more

New .NET Library Does Deep Cloning Right

Deep cloning objects has been a major pain point for me for a long time. Recently, I’ve run into a case where after cloning a dictionary ContainsKey no longer worked for items cloned. This inspired me to create a new library FastCloner for the modern .NET Core that would just work. Out of the box. Cyclic references, delegates, … Read more

Recurrent Models Scale as Efficiently as Transformers

:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal contributions; (4) Aleksandar Botev, Google DeepMind and with Equal contributions; (5) George Cristian-Muraru, Google DeepMind and with Equal contributions; (6) Albert Gu, Work done while at … Read more

The HackerNoon Newsletter: Predicting Crypto 2025: Up, Up, and… Away? (1/13/2025)

How are you, hacker? 🪐 What’s happening in tech today, January 13, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Johnny Cash performed a concert at Folsom State Prison in 1968, Wikipedia went live in 2001, SpaceX launched its Falcon Heavy rocket in 2018, and we present you … Read more

RG-LRU: A Breakthrough Recurrent Layer Redefining NLP Model Efficiency

:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal contributions; (4) Aleksandar Botev, Google DeepMind and with Equal contributions; (5) George Cristian-Muraru, Google DeepMind and with Equal contributions; (6) Albert Gu, Work done while at … Read more

RNN Models Hawk and Griffin: Transforming NLP Efficiency and Scaling

:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal contributions; (4) Aleksandar Botev, Google DeepMind and with Equal contributions; (5) George Cristian-Muraru, Google DeepMind and with Equal contributions; (6) Albert Gu, Work done while at … Read more

New Startups Are Standing Out In a Hyper-competitive Market—Here’s How

Launching a product is always a thrilling yet daunting endeavor. But when your target market is crowded with established players and new entrants, the challenge becomes exponentially tougher. When I worked at a startup, I was once tasked with solving a key problem for our users—a problem they were already addressing using a competitor’s product. … Read more

Who Even Needs Undersea Cables for Internet Anymore?

As we step into 2025, the Pacific region continues to grapple with the impacts of natural disasters, and recently, both Vanuatu and Tonga found themselves at the center of significant crises. In Vanuatu, a powerful earthquake struck the archipelago, causing widespread destruction and severing vital submarine fiber optic cable that had long been the lifeline … Read more

Insights from VazaZika Developers on Gamified Public Health Software

:::info Authors: (1) Clauvin Almeida, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (2) Marcos Kalinowski, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (3) Anderson Uchoa, Federal University of Ceara (UFC), Itapaje, Brazil; (4) Bruno Feijo, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de … Read more

Evaluating the Usefulness of Negative Effects in GDE Adoption

:::info Authors: (1) Clauvin Almeida, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (2) Marcos Kalinowski, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (3) Anderson Uchoa, Federal University of Ceara (UFC), Itapaje, Brazil; (4) Bruno Feijo, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de … Read more

Participant Feedback

:::info Authors: (1) Clauvin Almeida, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (2) Marcos Kalinowski, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (3) Anderson Uchoa, Federal University of Ceara (UFC), Itapaje, Brazil; (4) Bruno Feijo, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de … Read more

Developers’ Insights on Game Design Elements: Pros and Cons

:::info Authors: (1) Clauvin Almeida, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (2) Marcos Kalinowski, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (3) Anderson Uchoa, Federal University of Ceara (UFC), Itapaje, Brazil; (4) Bruno Feijo, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de … Read more

The Verge: A Path To Making Ethereum Verifiable And Sustainable

Introduction: The path to verifiability Web3’s core advantage is verifiability – users can verify how systems actually operate. This feature explains why many within and outside the crypto industry describe web3 as a step towards a more transparent and verifiable internet. Unlike Web2 platforms like Facebook or Instagram, where algorithms and rules remain opaque even … Read more

Exploring Developers’ Perceptions of GDEs’ Negative Effects

:::info Authors: (1) Clauvin Almeida, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (2) Marcos Kalinowski, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (3) Anderson Uchoa, Federal University of Ceara (UFC), Itapaje, Brazil; (4) Bruno Feijo, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de … Read more

Mapping and Addressing Gaps in Negative Effects of GDEs

:::info Authors: (1) Clauvin Almeida, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (2) Marcos Kalinowski, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (3) Anderson Uchoa, Federal University of Ceara (UFC), Itapaje, Brazil; (4) Bruno Feijo, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de … Read more

Effective Use of Snowballing in Gamification Research

:::info Authors: (1) Clauvin Almeida, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (2) Marcos Kalinowski, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (3) Anderson Uchoa, Federal University of Ceara (UFC), Itapaje, Brazil; (4) Bruno Feijo, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de … Read more

Data Extraction

:::info Authors: (1) Clauvin Almeida, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (2) Marcos Kalinowski, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (3) Anderson Uchoa, Federal University of Ceara (UFC), Itapaje, Brazil; (4) Bruno Feijo, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de … Read more

Hybrid Search Strategy for Gamification Research in Education

:::info Authors: (1) Clauvin Almeida, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (2) Marcos Kalinowski, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil; (3) Anderson Uchoa, Federal University of Ceara (UFC), Itapaje, Brazil; (4) Bruno Feijo, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de … Read more

The TechBeat: AI Is Making it Easier to Engineer Better Products—Here’s How (1/13/2025)

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## AI Is Making it Easier to Engineer Better Products—Here’s How By @indium [ 5 Min read ] AI-powered insights transform the … Read more

Impact of Packet Loss on OpenVPN Detection Accuracy and Censoring

:::info Authors: (1) Diwen Xue, University of Michigan; (2) Reethika Ramesh, University of Michigan; (3) Arham Jain, University of Michigan; (4) Arham Jain, Merit Network, Inc.; (5) J. Alex Halderman, University of Michigan; (6) Jedidiah R. Crandall, Arizona State University/Breakpointing Bad; (7) Roya Ensaf, University of Michigan. ::: Table of Links Abstract and 1 Introduction … Read more

Optimizing OpenVPN Detection: Balancing Speed and Accuracy with Window Size

:::info Authors: (1) Diwen Xue, University of Michigan; (2) Reethika Ramesh, University of Michigan; (3) Arham Jain, University of Michigan; (4) Arham Jain, Merit Network, Inc.; (5) J. Alex Halderman, University of Michigan; (6) Jedidiah R. Crandall, Arizona State University/Breakpointing Bad; (7) Roya Ensaf, University of Michigan. ::: Table of Links Abstract and 1 Introduction … Read more

Fine-Tuning OpenVPN Detection: ACK Thresholds and Performance Metrics

:::info Authors: (1) Diwen Xue, University of Michigan; (2) Reethika Ramesh, University of Michigan; (3) Arham Jain, University of Michigan; (4) Arham Jain, Merit Network, Inc.; (5) J. Alex Halderman, University of Michigan; (6) Jedidiah R. Crandall, Arizona State University/Breakpointing Bad; (7) Roya Ensaf, University of Michigan. ::: Table of Links Abstract and 1 Introduction … Read more