Hackernoon

Can a digital game reshape how fans connect with horse racing, a sport rooted in centuries of tradition? Stables, a Paris-based fantasy horse racing platform built on the Tezos blockchain, announced its expansion into the North American market, sparking curiosity about the future of this age-old pastime. Through a partnership with Equibase, the official database … Read more

Sentient has carved out a unique path, blending blockchain technology with open-source AI to create a community-owned ecosystem. With over 1 million waitlist sign-ups for Sentient Chat in just 24 hours and a record-breaking 650,000 NFT mint for their decentralized AI model, Dobby, Sentient is redefining the future of AI. At the helm of this … Read more

Table of Links Abstract and 1. Introduction Related Work Task, Datasets, Baseline RQ 1: Leveraging the Neighbourhood at Inference 4.1. Methods 4.2. Experiments RQ 2: Leveraging the Neighbourhood at Training 5.1. Methods 5.2. Experiments RQ 3: Cross-Domain Generalizability Conclusion Limitations Ethics Statement Bibliographical References 5.2. Experiments 5.2.1. Implementation Details We use the same training setup … Read more

When building data indexing pipelines, handling large files efficiently presents unique challenges. For example, patent XML files from the USPTO can contain hundreds of patents in a single file, with each file being over 1GB in size. Processing such large files requires careful consideration of processing granularity and resource management. In this article we will … Read more

After GPT-3.5 launched and gained popularity, OpenAI decided on a $20 fee we would all pay for a premium subscription to get all the generative AI access we want. What went into these calculations? Unlikely much. It was a standard fee OpenAI executives decided would go well for a subscription-based product. Others like Claude and … Read more

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. ## AutoResponder AI: The Smart Way to Manage Your Gmail Inbox By @dineshbesiahgari [ 17 Min read ] AutoResponder AI automates email … Read more

Table of Links Abstract and 1. Introduction 2 Related works 3 Methodology and 3.1 Causal language model as a classification model 3.2 Functional token 3.3 Dataset collection 3.4 Model development and training 4 Experiments and 4.1 Android function calls 4.2 Extension to Vehicle, Yelp, and DoorDash function sets 4.3 Full and partial training datasets and … Read more

Table of Links Abstract and 1. Introduction 2 Data 2.1 Data Sources 2.2 SS and SI Categories 3 Methods 3.1 Lexicon Creation and Expansion 3.2 Annotations 3.3 System Description 4 Results 4.1 Demographics and 4.2 System Performance 5 Discussion 5.1 Limitations 6 Conclusion, Reproducibility, Funding, Acknowledgments, Author Contributions, and References SUPPLEMENTARY Guidelines for Annotating Social … Read more

Table of Links Abstract and 1. Introduction 2 Data 2.1 Data Sources 2.2 SS and SI Categories 3 Methods 3.1 Lexicon Creation and Expansion 3.2 Annotations 3.3 System Description 4 Results 4.1 Demographics and 4.2 System Performance 5 Discussion 5.1 Limitations 6 Conclusion, Reproducibility, Funding, Acknowledgments, Author Contributions, and References SUPPLEMENTARY Guidelines for Annotating Social … Read more

Table of Links Abstract and 1. Introduction 2 Data 2.1 Data Sources 2.2 SS and SI Categories 3 Methods 3.1 Lexicon Creation and Expansion 3.2 Annotations 3.3 System Description 4 Results 4.1 Demographics and 4.2 System Performance 5 Discussion 5.1 Limitations 6 Conclusion, Reproducibility, Funding, Acknowledgments, Author Contributions, and References SUPPLEMENTARY Guidelines for Annotating Social … Read more

Table of Links Abstract and 1. Introduction 2 Data 2.1 Data Sources 2.2 SS and SI Categories 3 Methods 3.1 Lexicon Creation and Expansion 3.2 Annotations 3.3 System Description 4 Results 4.1 Demographics and 4.2 System Performance 5 Discussion 5.1 Limitations 6 Conclusion, Reproducibility, Funding, Acknowledgments, Author Contributions, and References SUPPLEMENTARY Guidelines for Annotating Social … Read more

Kingstown, St. Vincent and the Grenadines, April 1st, 2025/Chainwire/–Bitunix exchange has announced that it has launched the Ultra version of the K-line (candlesticks) on its mobile app integrated with TradingView. This advanced charting system transforms the mobile trading experience for cryptocurrency traders, allowing them to enjoy a smooth candlestick experience. Bitunix is the first exchange … Read more

Table of Links Abstract and 1. Introduction 2 Data 2.1 Data Sources 2.2 SS and SI Categories 3 Methods 3.1 Lexicon Creation and Expansion 3.2 Annotations 3.3 System Description 4 Results 4.1 Demographics and 4.2 System Performance 5 Discussion 5.1 Limitations 6 Conclusion, Reproducibility, Funding, Acknowledgments, Author Contributions, and References SUPPLEMENTARY Guidelines for Annotating Social … Read more

Table of Links Abstract and 1. Introduction 2 Data 2.1 Data Sources 2.2 SS and SI Categories 3 Methods 3.1 Lexicon Creation and Expansion 3.2 Annotations 3.3 System Description 4 Results 4.1 Demographics and 4.2 System Performance 5 Discussion 5.1 Limitations 6 Conclusion, Reproducibility, Funding, Acknowledgments, Author Contributions, and References SUPPLEMENTARY Guidelines for Annotating Social … Read more

Table of Links Abstract and 1. Introduction 2 Data 2.1 Data Sources 2.2 SS and SI Categories 3 Methods 3.1 Lexicon Creation and Expansion 3.2 Annotations 3.3 System Description 4 Results 4.1 Demographics and 4.2 System Performance 5 Discussion 5.1 Limitations 6 Conclusion, Reproducibility, Funding, Acknowledgments, Author Contributions, and References SUPPLEMENTARY Guidelines for Annotating Social … Read more

Cloud repatriation – the movement of workloads from public cloud back to on-premises or private infrastructure – is accelerating. According to a recent QA report, as many as 71% of companies have considered repatriation, driven primarily by escalating cloud costs and unexpected financial complexities. In short, cloud wasn’t the blue sky many were promised. But … Read more

Table of Links Abstract and 1. Introduction 2 Data 2.1 Data Sources 2.2 SS and SI Categories 3 Methods 3.1 Lexicon Creation and Expansion 3.2 Annotations 3.3 System Description 4 Results 4.1 Demographics and 4.2 System Performance 5 Discussion 5.1 Limitations 6 Conclusion, Reproducibility, Funding, Acknowledgments, Author Contributions, and References SUPPLEMENTARY Guidelines for Annotating Social … Read more

Cryptocurrency is becoming a bigger part of our daily lives. While it was initially seen as a tool for tech enthusiasts and investors, it is now widely accepted for purchases, investments, and even charitable donations. Donating cryptocurrency allows individuals to contribute to causes they care about without converting their digital assets into fiat currency. Although … Read more

Table of Links Abstract and 1. Introduction 2 Data 2.1 Data Sources 2.2 SS and SI Categories 3 Methods 3.1 Lexicon Creation and Expansion 3.2 Annotations 3.3 System Description 4 Results 4.1 Demographics and 4.2 System Performance 5 Discussion 5.1 Limitations 6 Conclusion, Reproducibility, Funding, Acknowledgments, Author Contributions, and References SUPPLEMENTARY Guidelines for Annotating Social … Read more

As someone who has spent years in the trenches of startup and tech ecosystems, I’ve seen a common thread: incredible products with underperforming sales teams. I wanted to unpack this deeper and find out how the top revenue operators break that cycle. That search led me to Ashkan Rajaee. Ashkan isn’t your typical sales leader. … Read more

TL;DR – Play the game I’ve “written” — HERE. What’s your score? Add it in the comments. A couple of days ago, I discovered that Gemini 2.5 Pro is now available in Cursor. Having previously built a business app with great support of Cursor (Sonnet 3.5 in ask mode), I was eager to explore how … Read more

Let’s be honest – we’ve all been there. You’re working on a TypeScript project, everything’s going great, and then you open that tsconfig.json file. Suddenly you’re staring at a labyrinth of cryptic options, and you just copy-paste something from Stack Overflow and pray it works. Sound familiar? Here’s the thing: tsconfig doesn’t have to be … Read more

As of Q2 2024, there were 2.2 million apps on the Google Play Store and 1.5 million mobile apps on the App Store. Despite this, the average person uses only about 10 apps daily or 30 apps monthly. With these in mind, how well do you think your new mobile app will perform in the market? That depends on … Read more

==Caption==: The two characters look different but share a striking similarity in posture, expression, and background—almost like they are “embeddings” of different sentences that end up close together. READ PART-1 here (https://hackernoon.com/hallucination-by-design-how-embedding-models-misunderstand-language) Last month, I shared how embedding models hallucinate when handling simple language variations like negation and capitalization. The response was overwhelming – seems … Read more

Table of Links Abstract and 1. Introduction Related Work Task, Datasets, Baseline RQ 1: Leveraging the Neighbourhood at Inference 4.1. Methods 4.2. Experiments RQ 2: Leveraging the Neighbourhood at Training 5.1. Methods 5.2. Experiments RQ 3: Cross-Domain Generalizability Conclusion Limitations Ethics Statement Bibliographical References 5. RQ 2: Leveraging the Neighbourhood at Training We leverage the … Read more

Table of Links Abstract and 1. Introduction Related Work Task, Datasets, Baseline RQ 1: Leveraging the Neighbourhood at Inference 4.1. Methods 4.2. Experiments RQ 2: Leveraging the Neighbourhood at Training 5.1. Methods 5.2. Experiments RQ 3: Cross-Domain Generalizability Conclusion Limitations Ethics Statement Bibliographical References 4.2. Experiments 4.2.1. Implementation Details We follow the hyperparameters for baseline … Read more

Table of Links Abstract and 1. Introduction Related Work Task, Datasets, Baseline RQ 1: Leveraging the Neighbourhood at Inference 4.1. Methods 4.2. Experiments RQ 2: Leveraging the Neighbourhood at Training 5.1. Methods 5.2. Experiments RQ 3: Cross-Domain Generalizability Conclusion Limitations Ethics Statement Bibliographical References 4. RQ 1: Leveraging the Neighbourhood at Inference In this section, … Read more

Table of Links Abstract and 1. Introduction Related Work Task, Datasets, Baseline RQ 1: Leveraging the Neighbourhood at Inference 4.1. Methods 4.2. Experiments RQ 2: Leveraging the Neighbourhood at Training 5.1. Methods 5.2. Experiments RQ 3: Cross-Domain Generalizability Conclusion Limitations Ethics Statement Bibliographical References 2. Related Work Rhetorical Role Labeling Initial efforts of RRL aimed … Read more

Table of Links Abstract and 1. Introduction Related Work Task, Datasets, Baseline RQ 1: Leveraging the Neighbourhood at Inference 4.1. Methods 4.2. Experiments RQ 2: Leveraging the Neighbourhood at Training 5.1. Methods 5.2. Experiments RQ 3: Cross-Domain Generalizability Conclusion Limitations Ethics Statement Bibliographical References 3. Task, Datasets, Baseline Data We experiment on four datasets – … Read more