~hackernoon | Bookmarks (1905)

This research shows how Fitbit leaderboards, ranking users by 7-day step tallies, motivate daily activity through real-time competitive feedback.

This research shows leaderboards boost steps by 3.5% overall but harm highly active users and benefit sedentary ones.

This research introduces Hawk and Griffin models, efficient RNN alternatives to Transformers, with reduced latency and strong long-sequence performance.

This research explores scalable RNN and SSM innovations, comparing their efficiency and performance to Transformers and linear attention techniques.

This research shows Hawk and Griffin models excel at long-context extrapolation, predicting tokens for sequences 4x longer than training.

This research shows Griffin excels in copying and retrieval tasks, outperforming Hawk and Transformers in extrapolation for longer sequences.

This research shows Hawk and Griffin outperform MQA Transformers in latency and throughput, excelling in long-sequence and large-batch inference.

This research shows recurrent models reduce cache size, improving latency and throughput over Transformers for long sequences.

How are you, hacker? 🪐 What’s happening in tech today, January 14, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, The First Outer Solar System Landing Occurred in 2005, NSA was reported using spyware on other countries in 2014, Net Neutrality took a big hit! in 20...

This research shows recurrent models excel in decoding, offering lower latency and higher throughput than Transformers, especially for long sequences.

The research paper compares training speeds across different model sizes and sequence lengths to conclude the computational advantages of Hawk and Griffin.

HackerNoon reveals the most searched tags of 2024, highlighting popular topics like profit, Google, and token economy. Plus, some quirky search queries that got our attention.

Use BigQuery to track how users move between funnel steps in e-commerce. Identify drop-offs (like add_to_cart → checkout), and optimize weak points to boost conversions.

Researchers have developed a gamified method of acquiring annotated facial emotion data without an explicit labeling effort by humans.

Large Language Models (LLM) are strong engines in our IDEs. They can understand the context of our work. An LLM understands what function you are in, what variables you have defined in this and related files.

Researchers have developed a gamified method of acquiring annotated facial emotion data without an explicit labeling effort by humans.

Researchers have developed a gamified method of acquiring annotated facial emotion data without an explicit labeling effort by humans.

This article is divided into two parts. Part 1 focuses on hiring the right salespeople. Part 2 will cover how to onboard salespeople effectively.

Researchers have developed a gamified method of acquiring annotated facial emotion data without an explicit labeling effort by humans.

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!

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 unique needs.

Flixier, Synthesia, and Canva are tools that let you edit videos without Adobe Premiere. They're not trying to replace Premiere - they're trying to help people who just need to get shit done without selling a kidney. The free tiers are basic, but $10-15 a month for Flixier, Synthesia, or Canva is a lot easier to swallow than Adobe's Creative Cloud ransom demands.

This research shows Hawk and Griffin models outperform Mamba-3B and rival Llama-2, achieving strong downstream task results with fewer training tokens.