Hackernoon

Intro I’ve been in the crypto industry for over 13 years. That’s a long time. Exhaustingly long. About 90% of my work has never been paid for by anyone — and that includes posts, articles, essays, research papers, and books. It’s the development of numerous tokenomics templates for various projects. It’s legal documents. And even … Read more

This article walks through the common struggles developers face when dealing with forms — and how React 19 finally introduces some long-awaited tools that make form handling cleaner, more declarative, and far less error-prone. Over the past six years in frontend development — from building complex form systems to integrating AI tools at SDG — … Read more

Long chains of method calls create tight coupling and ripple effects. Any change in the chain breaks dependent code. TL;DR: Send messages only to your direct acquaintances, not their friends. Problems 😔 Tight Coupling Broken encapsulation Ripple effect Fragile, brittle design Poor readability Difficult testing and maintenance Solutions 😃 Create intermediate methods. Apply the Law … Read more

You pay for your coffee with one token, split the rent on your apartment with another, and earn tiny royalties from a funny video you posted thanks to a different token that tracks every play. A world where everything is tokenized feels futuristic, but it’s not far off.  Tokenization means turning ownership, rights, or access … Read more

Table of Links Abstract and 1. Introduction Preliminaries Problem definition BtcFlow Bitcoin Core (BCore) Mempool state and linear perceptron machine learning (MSLP) Fee estimation based on neural network (FENN) Experiments Conclusion, Acknowledgements, and References 8 Experiments The datasets, experimental evaluation metrics, and transaction fee estimation solutions are all introduced in this part. Following that, we … Read more

Every platform claims to help businesses grow. But most growth still feels like managing a hundred moving parts that don’t talk to each other. You create content in one app, run tests in another, track performance in a third, and optimize in a fourth. Every click feels productive — but the system itself stays fragmented. … Read more

Table of Links Background Problem statement Model architecture Training data Results Conclusions Impact statement Future directions Contributions Acknowledgements and References Appendix 6 Conclusions Toto, through a novel architecture and pre-training corpus, demonstrates state-of-the-art performance both on public benchmarks and on the Datadog observability benchmark. We look forward to sharing many more technical details, experiments, and … Read more

A new paper on AI-controlled nuclear fusion isn’t just about fusion. It’s a field guide to the new, essential role in deep tech: the AI Orchestrator. Here’s a look at the code. A team from Google DeepMind and the Swiss Plasma Center published their work on using a Reinforcement Learning (RL) agent to control the … Read more

A new study shows that sentence structure, not sentiment, can predict price, volume, and regulatory risk. What if the real market signal is not what companies say, but how they say it? For years, analysts have studied financial reports, earnings calls, and CEO letters searching for emotional cues. They have tried to detect optimism, fear, … Read more

Table of Links Abstract and 1. Introduction Related Work 2.1. Motion Reconstruction from Sparse Input 2.2. Human Motion Generation SAGE: Stratified Avatar Generation and 3.1. Problem Statement and Notation 3.2. Disentangled Motion Representation 3.3. Stratified Motion Diffusion 3.4. Implementation Details Experiments and Evaluation Metrics 4.1. Dataset and Evaluation Metrics 4.2. Quantitative and Qualitative Results 4.3. … Read more

Table of Links Background Problem statement Model architecture Training data Results Conclusions Impact statement Future directions Contributions Acknowledgements and References Appendix 5 Results We report experimental results for a pre-trained Toto model in Section 5.1 and Section 5.2. To evaluate predictions, we sequentially divide a time series into context and forecast segments. We input the … Read more

Table of Links Abstract and 1. Introduction Related Work 2.1. Motion Reconstruction from Sparse Input 2.2. Human Motion Generation SAGE: Stratified Avatar Generation and 3.1. Problem Statement and Notation 3.2. Disentangled Motion Representation 3.3. Stratified Motion Diffusion 3.4. Implementation Details Experiments and Evaluation Metrics 4.1. Dataset and Evaluation Metrics 4.2. Quantitative and Qualitative Results 4.3. … Read more

The Ethereum Foundation has completed the migration of its full treasury, over 160,000 ETH worth approximately $650 million to Safe{Wallet}, following months of successful DeFi testing. Safe{Wallet}, operated by Safe Labs (a fully owned subsidiary of the Safe Foundation), is the crypto industry’s trusted smart account standard for multisig wallets, securing billions of dollars in … Read more

Welcome back to Fixing Web3 Marketing: From Hype to Sustainable Growth – a series exploring the biggest challenges Web3 companies face when promoting their products. On our last blog post, we discussed the many Web3 audiences you might be overlooking in your campaigns, and how to build personas that actually align with your goals. Today, we’ll dive … Read more

Table of Links Abstract and 1. Introduction Related Work 2.1. Motion Reconstruction from Sparse Input 2.2. Human Motion Generation SAGE: Stratified Avatar Generation and 3.1. Problem Statement and Notation 3.2. Disentangled Motion Representation 3.3. Stratified Motion Diffusion 3.4. Implementation Details Experiments and Evaluation Metrics 4.1. Dataset and Evaluation Metrics 4.2. Quantitative and Qualitative Results 4.3. … Read more

Table of Links Abstract and 1. Introduction Related Work 2.1. Motion Reconstruction from Sparse Input 2.2. Human Motion Generation SAGE: Stratified Avatar Generation and 3.1. Problem Statement and Notation 3.2. Disentangled Motion Representation 3.3. Stratified Motion Diffusion 3.4. Implementation Details Experiments and Evaluation Metrics 4.1. Dataset and Evaluation Metrics 4.2. Quantitative and Qualitative Results 4.3. … Read more

22 October 2025 – Dubai, UAE – Enterprises lose billions annually due to cloud misconfigurations, vendor opacity, and security breaches. Aussivo enhances existing cloud infrastructure with the Verifiable Cloud Layer, an auditable, tamper-resistant foundation that brings blockchain-grade integrity and transparency to modern cloud environments. Built for scale, speed, and zero-trust architectures, Aussivo strengthens cloud operations … Read more

Table of Links Abstract and 1. Introduction Related Work 2.1. Motion Reconstruction from Sparse Input 2.2. Human Motion Generation SAGE: Stratified Avatar Generation and 3.1. Problem Statement and Notation 3.2. Disentangled Motion Representation 3.3. Stratified Motion Diffusion 3.4. Implementation Details Experiments and Evaluation Metrics 4.1. Dataset and Evaluation Metrics 4.2. Quantitative and Qualitative Results 4.3. … Read more

We polled 580 readers: 42% don’t use a VPN; among users, Nord/Proton/Surfshark lead. Top uses are download safety and always-on protection, with geo-streaming and bypassing filters behind. Quick, neutral tips: enable kill switch, test for DNS/WebRTC leaks, and match policies to how you browse.

Table of Links Background Problem statement Model architecture Training data Results Conclusions Impact statement Future directions Contributions Acknowledgements and References Appendix 4 Training data We pretrained Toto with a dataset of approximately one trillion time series points. Of these, roughly three-quarters are anonymous observability metrics from the Datadog platform. The remaining points come from the … Read more

How are you, hacker? 🪐 What’s happening in tech today, October 22, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, JFK’s Address on Cuban Missile Crisis Shocks the Nation in 1962, First Parachute Jump is Made Over Paris in 1797, India Launches Its First Lunar Mission in 2008, … Read more

Table of Links Abstract and 1. Introduction Related Work 2.1. Motion Reconstruction from Sparse Input 2.2. Human Motion Generation SAGE: Stratified Avatar Generation and 3.1. Problem Statement and Notation 3.2. Disentangled Motion Representation 3.3. Stratified Motion Diffusion 3.4. Implementation Details Experiments and Evaluation Metrics 4.1. Dataset and Evaluation Metrics 4.2. Quantitative and Qualitative Results 4.3. … Read more

Table of Links ABSTRACT 1. INTRODUCTION 2. METHODS 3. PHOTOVOLTAIC REQUIREMENTS FOR EARTH 4. DETECTABILITY REQUIREMENTS FOR PHOTOVOLTAICS 5. DISCUSSION CONCLUSION, ACKNOWLEDGMENTS AND REFERENCES DISCUSSION The results from the previous section seem to indicate that even ambitious deployment of solar panels (constructed with silicon and hosting anti-reflective coatings) covering a significant land area of an … Read more

Hey Hackers, Ready your candy buckets, we’re kicking Spooky Season off with a treat! This October 30th, HackerNoon is teaming up with GadflyAI for a cyberpunk, Halloween-themed tech event that marries code, storytelling, and the open-source spirit. Welcome to Spells & Syntax: A Technical Writing Workshop. As a part of the hybrid event, Nightmare Before … Read more

X-VPN, operated by LIGHTNINGLINK NETWORKS PTE. LTD. in Singapore, shares results from its internal cross-platform review on Blind In/On-Path signals. The findings confirm that no user data was exposed, and risks stem from Android’s system behavior, not X-VPN’s encryption or apps. An external audit is in progress, and mitigation steps are underway. (Source: X-VPN)

Table of Links Abstract and 1. Introduction 1.1 Technical Overview 1.2 Related Work Model and Preliminaries and 2.1 Transaction Fee Mechanisms 2.2 The TFM Desiderata Understanding OCA 3.1 The Difference Between SCP and OCA 3.2 Useful Preliminary Results for OCA-proof TFMs Deterministic OCA-proof Mechanisms Randomized OCA-proof Mechanisms Discussion and References A. Missing Proofs B. Non-anonymous … Read more

Table of Links ABSTRACT 1. INTRODUCTION 2. METHODS 3. PHOTOVOLTAIC REQUIREMENTS FOR EARTH 4. DETECTABILITY REQUIREMENTS FOR PHOTOVOLTAICS 5. DISCUSSION CONCLUSION, ACKNOWLEDGMENTS AND REFERENCES PHOTOVOLTAIC REQUIREMENTS FOR EARTH At present, the power density (i.e., power generated per unit ground area) of solar energy is estimated to be 5.4W m−2 (Miller & Keith 2018). Ignoring the … Read more

:::info Authors: Ravi Kopparapu Vincent Kofman Jacob Haqq-Misra Vivaswan Kopparapu Manasvi Lingam ::: Table of Links ABSTRACT 1. INTRODUCTION 2. METHODS 3. PHOTOVOLTAIC REQUIREMENTS FOR EARTH 4. DETECTABILITY REQUIREMENTS FOR PHOTOVOLTAICS 5. DISCUSSION CONCLUSION, ACKNOWLEDGMENTS AND REFERENCES ABSTRACT In this work, we assess the potential detectability of solar panels made of silicon on an Earth-like … Read more

Table of Links Abstract and 1. Introduction 1.1 Technical Overview 1.2 Related Work Model and Preliminaries and 2.1 Transaction Fee Mechanisms 2.2 The TFM Desiderata Understanding OCA 3.1 The Difference Between SCP and OCA 3.2 Useful Preliminary Results for OCA-proof TFMs Deterministic OCA-proof Mechanisms Randomized OCA-proof Mechanisms Discussion and References A. Missing Proofs B. Non-anonymous … Read more

Table of Links Abstract and 1. Introduction Preliminaries Problem definition BtcFlow Bitcoin Core (BCore) Mempool state and linear perceptron machine learning (MSLP) Fee estimation based on neural network (FENN) Experiments Conclusion, Acknowledgements, and References 7 Fee estimation based on neural network (FENN) ue to the low block capacity, the majority of submitted transactions may experience … Read more