Hackernoon

The race for dominance in the meme coin market has a clear frontrunner. Pepeto is surging on Ethereum traction, raising over $5.7 million in its presale and creating massive FOMO among retail and early-stage investors. But while BlockDAG (BDAG) boasts a record-breaking raise, Pepeto is generating an entirely different kind of momentum. Backed by a viral community of more than … Read more

BERLIN, July 29, 2025 – The foreign exchange (FX) market processes over $7.5 trillion in daily volume, yet remains constrained by legacy infrastructure that is slow, fragmented, and unavailable around the clock. Traditional FX markets are closed on weekends, rely on third-parties, and transactions can take days to settle, making them inefficient. To address this, Mento is expanding … Read more

Introduction to Model Context Protocol (MCP) The rapid advancement of AI, particularly in the domain of Large Language Models (LLMs), has led to a demand for these models to interact seamlessly with external environments. While LLMs exhibit remarkable capabilities in natural language understanding and generation, their inherent knowledge is limited to their training data. To … Read more

How are you, hacker? 🪐 What’s happening in tech today, July 29, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Microsoft Launches Windows 10 in 2015, NASA is Established in 1958, Prince Charles Married Lady Diana Spencer in 1981, and we present you with these top quality stories. … Read more

For a lot of people, the idea of studying/living abroad is just one more item in the checklist of their life’s plan. They’ll go abroad for a semester, a year, or more, sink themselves elbow-deep(or nail deep in some cases) into a new culture, experience new sensations, points of view, food, friends, lovers, to finally … Read more

Table of Links Abstract and 1. Introduction 2. Data and quantitative nature of the events 2.1. Hourly data analysis 2.2. Transaction data analysis 2.3. Anchor protocol 3. Methodology 3.1. Network analysis: Triangulated Maximally Filtered Graph (TMFG) 3.2. Herding analysis 4. Results 4.1. Correlations and network analysis 4.2. Herding analysis: CSAD approach 5. Robustness analysis 6. … Read more

:::info Authors: (1) Antonio Briola, Department of Computer Science, University College London, Gower Street, WC1E 6EA – London, United Kingdom and UCL Centre for Blockchain Technologies, London, United Kingdom; (2) David Vidal-Tomas (Corresponding author), Department of Computer Science, University College London, Gower Street, WC1E 6EA – London, United Kingdom, Department of Economics, Universitat Jaume I, … Read more

Dogecoin (DOGE) is aiming for $0.50 with strong technical indicators and whale activity. However, Little Pepe (LILPEPE) is drawing massive attention with over $8.5M raised in its presale and plans for Pepe Chain—a dedicated meme coin ecosystem with low fees and no-code launch tools. Analysts project 60x–100x potential post-launch as hype builds around Stage 7.

Yolo247 is the new front-of-jersey sponsor for the Boca Raton Trailblazers in the MAX60 Caribbean League 2025. The partnership debuted with a 32-run win over Miami Blaze, where Munsey scored 39 off 17 balls. Yolo247’s branding will feature on all Trailblazers kits as the league, showcasing fast-paced 10-over cricket, continues through August.

Immortality plays a key role in the world of movies, appealing to the darkest wish of all men, “living forever”. Whether through a freak accident, science, or some divine force, immortals fascinate filmmakers and audiences alike. It is always interesting to see how time can alter a person’s perception, whether for better or worse. We’ll … Read more

Sunjhla Handa, a leading software engineer and healthcare innovator, is revolutionizing maternal care with AI-powered, purpose-driven digital platforms. Her breastfeeding support and virtual doula solutions reduce ER visits, enhance accessibility, and empower women, shaping a more inclusive, affordable, and compassionate healthcare future.

The first half of 2025 was brutal for Web3. Over $3.1 billion in losses. Not from rugs or untested contracts. No, this time the biggest holes were human. Misconfigured multisigs, forgotten admin controls, and a new wave of AI-driven chaos turned even hardened protocols into sitting ducks. The Real Exploit: People Let’s be real. Most … Read more

Welcome to our special segment, where we delve into the exciting world of Web3 gaming. Today, we have the distinct pleasure of hosting Steve Haßenpflug, VP of Games at ChromaWay and Executive Board Member for My Neighbor Alice. n Further, he serves on the Executive Committee and Board of OMA3, and is a Working Group … Read more

A 14-year-old boy, Sewell Setzer III, formed an emotional bond with an AI companion before taking his own life; a tragedy that thrust these systems into the national spotlight. Are we sleepwalking into letting synthetic “friends” mediate our children’s most vulnerable moments? The Rise of AI Companions What are AI companions? Common Sense Media defines … Read more

Greetings from low-Earth orbit! Welcome to the winners’ announcement for Round 2 of the Spacecoin Writing Contest, presented by Spacecoin and HackerNoon! Since the contest launched at the start of the year, we’ve published well over 200 stories across all contest tags, keeping readers engaged for 150+ hours. Round 1 closed on May 7, 2025, … Read more

“Les Liaisons Dangereuses” is a book that’s just a bit younger than the United States of America. Dakota Johnson was born the same year Dangerous Liaisons won the Oscar for Best Adapted Screenplay. What “Fifty Shades of Grey” was for the younger generation, “Dangerous Liaisons” was for the older ones. You can’t compare apples with … Read more

So, you’ve got a bunch of data. Maybe it’s a huge pile of customer support logs, technical documentation, legal contracts, or medical research. You’re considering plugging this into a large language model (LLM) to get smarter responses and help analyze the data. But now you’re stuck on a key question: should you fine-tune the model, … Read more

Table of Links Abstract and I. Introduction II. Related Work III. Technical Background IV. Systematic Security Vulnerability Discovery of Code Generation Models V. Experiments VI. Discussion VII. Conclusion, Acknowledgments, and References Appendix A. Details of Code Language Models B. Finding Security Vulnerabilities in GitHub Copilot C. Other Baselines Using ChatGPT D. Effect of Different Number … Read more

Table of Links Abstract and I. Introduction II. Related Work III. Technical Background IV. Systematic Security Vulnerability Discovery of Code Generation Models V. Experiments VI. Discussion VII. Conclusion, Acknowledgments, and References Appendix A. Details of Code Language Models B. Finding Security Vulnerabilities in GitHub Copilot C. Other Baselines Using ChatGPT D. Effect of Different Number … Read more

Table of Links Abstract and I. Introduction II. Related Work III. Technical Background IV. Systematic Security Vulnerability Discovery of Code Generation Models V. Experiments VI. Discussion VII. Conclusion, Acknowledgments, and References Appendix A. Details of Code Language Models B. Finding Security Vulnerabilities in GitHub Copilot C. Other Baselines Using ChatGPT D. Effect of Different Number … Read more

Table of Links Abstract and I. Introduction II. Related Work III. Technical Background IV. Systematic Security Vulnerability Discovery of Code Generation Models V. Experiments VI. Discussion VII. Conclusion, Acknowledgments, and References Appendix A. Details of Code Language Models B. Finding Security Vulnerabilities in GitHub Copilot C. Other Baselines Using ChatGPT D. Effect of Different Number … Read more

Table of Links Abstract, Acknowledgements, and Statements and Declarations Introduction Background and Related Work 2.1 Agent-based Financial Market simulation 2.2 Flash Crash Episodes Model Structure and 3.1 Model Set-up 3.2 Common Trader Behaviours 3.3 Fundamental Trader (FT) 3.4 Momentum Trader (MT) 3.5 Noise Trader (NT) 3.6 Market Maker (MM) 3.7 Simulation Dynamics Model Calibration and … Read more

By Yu Xiong, Co-President of Luffa For years, the creator economy has been running on borrowed rails. Social media platforms took the lion’s share of monetization. Algorithms decided visibility. And fans—those who showed up first, stayed the longest, and shouted the loudest—got little in return. But what if loyalty was rewarded like labor? What if … Read more

…and how they’re backing Europe’s rearmament with battle-tested technologies and a long-term vision shaped by Ukraine’s frontline innovation. Defense technology has transitioned from a “no-go zone” to an increasingly attractive space for VC investments. Historically, most VCs avoided defense tech due to long procurement cycles, regulatory hurdles, and ethical concerns. Since 2022, a notable shift has occurred, primarily … Read more

The financial trading world stands at a turning point. Traditional brokers grapple with outdated systems and complex regulations, even as traders demand seamless access to both conventional instruments like stocks and forex, alongside digital assets such as crypto, all on a single platform—a market reshaping shift highlighted by McKinsey’s reports. Could blockchain and tokenized assets … Read more

In the wake of high-profile cryptocurrency exchange collapses, trust has become a rare and precious commodity in the digital asset sector. Users are no longer content with bold promises; they demand verifiable proof that their funds are secure. KuCoin, a global cryptocurrency exchange, is tackling this challenge head-on with its ambitious $2 billion Trust Project. … Read more

Table of Links Abstract, Acknowledgements, and Statements and Declarations Introduction Background and Related Work 2.1 Agent-based Financial Market simulation 2.2 Flash Crash Episodes Model Structure and 3.1 Model Set-up 3.2 Common Trader Behaviours 3.3 Fundamental Trader (FT) 3.4 Momentum Trader (MT) 3.5 Noise Trader (NT) 3.6 Market Maker (MM) 3.7 Simulation Dynamics Model Calibration and … Read more

Table of Links Abstract, Acknowledgements, and Statements and Declarations Introduction Background and Related Work 2.1 Agent-based Financial Market simulation 2.2 Flash Crash Episodes Model Structure and 3.1 Model Set-up 3.2 Common Trader Behaviours 3.3 Fundamental Trader (FT) 3.4 Momentum Trader (MT) 3.5 Noise Trader (NT) 3.6 Market Maker (MM) 3.7 Simulation Dynamics Model Calibration and … Read more

Content Overview Overview Analysis Workflow Is your tf.data pipeline producing data fast enough? Are you prefetching data? Are you reaching high CPU utilization? Bottleneck Analysis Additional resources Overview This guide assumes familiarity with the TensorFlow Profiler and tf.data. It aims to provide step by step instructions with examples to help users diagnose and fix input pipeline performance issues. … 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. ## A Human-centred Framework for Designing Complex AI Solutions for Strategic Decision-making By @v3d [ 7 Min read ] The practical framework … Read more