Hackernoon

:::info Authors: (1) Evan Shieh, Young Data Scientists League (evan.shieh@youngdatascientists.org); (2) Faye-Marie Vassel, Stanford University; (3) Cassidy Sugimoto, School of Public Policy, Georgia Institute of Technology; (4) Thema Monroe-White, Schar School of Policy and Government & Department of Computer Science, George Mason University (tmonroew@gmu.edu). ::: Table of Links Abstract and 1 Introduction 1.1 Related Work … Read more

That expression “You have to pick your battles” comes to mind right about now. But it seems that at every fornight there is a new object or movie that beautiful son “just has to” have or see. Indeed, were parents to fall for each and every whim of our children, most of us would be … Read more

AI tools are everywhere, and if you’re a small business owner, chances are you’ve heard something like: “Just automate it with AI!” Sounds great until you spend two hours testing a tool and still don’t know what it’s supposed to do. The truth is, most AI tools aren’t built with small businesses in mind. They’re … Read more

How my company stopped coding manually and built a full-stack agent-based development process. :::info I am the CEO & founder of Easylab AI and Linkeme.ai, both of which are referenced in this article. ::: It started with a realization that felt uncomfortable at first: despite all the talent on our team, most of what we … Read more

In the world of software engineering, “garbage collection” refers to the automatic memory management process that identifies and discards objects no longer needed by a program. This technical concept has profound implications beyond code, offering a powerful metaphor for how we might approach our responsibilities in the physical world. Garbage Collection in Programming As programmers, … Read more

Table of Links Abstract and 1 Introduction 2 COCOGEN: Representing Commonsense structures with code and 2.1 Converting (T,G) into Python code 2.2 Few-shot prompting for generating G 3 Evaluation and 3.1 Experimental setup 3.2 Script generation: PROSCRIPT 3.3 Entity state tracking: PROPARA 3.4 Argument graph generation: EXPLAGRAPHS 4 Analysis 5 Related work 6 Conclusion, Acknowledgments, … Read more

Partner Marketing is still a relatively new field. For a long time, it sat under Demand Gen or Growth — sometimes owned by whoever had capacity, sometimes a shared effort across departments. But in the last couple of years, that’s changed quickly. “Partnerships and Alliances” is now a formal revenue category in many companies, including … Read more

A true story of good intentions, missing architecture, and a backend that almost took the whole system down. n The Setup We were brought in to audit an internal logistics platform that had been under development for five years. The budget? Roughly €15,000 per month — totaling just under €900,000. At first glance, everything seemed … Read more

Aleph.im, a pioneer in decentralized infrastructure since 2019, today announces its rebrand to Aleph Cloud, reflecting its evolution into a full-stack decentralized cloud platform. The new brand unifies its broad suite of services including decentralized compute, storage, virtual machines, and GPU resources, under one brand built to meet the infrastructure demands of modern Web3 and … Read more

I’ve been writing code for the last ~18 years, and professionally for about 8 years (including at Google, Uber) – and I’ve got to say I’ve really loved it. n And what’s not to love? I got to spend most of my time building fun things, the reward feedback loop was tight and my tools … Read more

What Is Tree Recursion? Tree recursion is a technique used to traverse a tree-like data structure by recursively visiting each node and its children. It’s widely used in computer science, particularly in algorithms that operate on trees and graphs. In JavaScript, tree recursion is typically implemented using a recursive function that takes a node as … Read more

(*If you’d like to skip ahead and dive directly into the technical breakdown, jump to 1. Why React Server Components Were Introduced.) In the early 2010s, React revolutionized frontend development with its declarative component model and efficient virtual DOM diffing. What began as a simple view library soon became the backbone for large-scale single-page applications … Read more

We Thought It Was Fine I don’t remember exactly when the backlog started becoming a problem. Maybe it was the third time a stakeholder changed their mind about a request we’d already scoped. Or when we moved yet another story to the “parking lot” because no one could agree on whether we still needed it. … Read more

Bitcoin’s surge past $94,000 might just be the opening act. The real story of a bull market? It’s written in the fine print of on-chain metrics. As Bitcoin reclaims the $94K again, altcoins are rallying across the board. But does the underlying blockchain data confirm a full-blown bull run? By dissecting trading volume, user activity, … Read more

In the world of observability, we often find ourselves working with two fundamental types of telemetry data: metrics and traces. While both are crucial for understanding system behavior, they traditionally existed in separate domains. Exemplars emerge as the crucial bridge between these two worlds, offering a powerful way to correlate aggregate metrics with individual traces. … Read more

If you aspire to be a penetration tester, ethical hacker, or a cybersecurity professional, you require practice. And the safest way to get hands-on experience is by creating your own home lab for hacking. A home lab is your own place to play with tools, techniques, and exploits without real-world harm. Here in this blog, … Read more

1. Introduction: Why I Needed Focero in My Life It started with a simple frustration: my attention was scattered. I was jumping between tasks, endlessly switching tabs, and letting distractions control my day. I’d tried all the usual suspects—Todoist, Notion, Focus To-Do—but they all felt either bloated or gamified. I wanted something quiet. Just a … Read more

What’s the best thing about Bitcoin’s design? Its scarcity (only 21 million coins)? Its decentralized nature (control is spread out)? Its trustless model (goodbye, banks)? Spend some time on crypto Twitter, and you’ll hear plenty of takes on these well-publicized benefits. What you might not hear about as often is a quiet mechanism ticking away … Read more

I’ll admit it: I have over 43,000 unread emails across my Gmail accounts. You’re probably in a similar situation. How does this happen? It usually starts with a free PDF offer that catches your interest. You subscribe, got what you want, but then receive multiple weekly emails that you never open. You don’t unsubscribe because, … Read more

TikTok VM Reverse Engineering (webmssdk.js) This project is for reverse engineering the TikTok Virtual Machine (VM). Overview TikTok uses a custom virtual machine (VM) as part of its obfuscation and security layers. This project includes tools to: Deobfuscate webmssdk.js that has the virtual machine. Decompile TikTok’s virtual machine instructions into readable form. Script Inject Replace … Read more

:::info Authors: (1) Evan Shieh, Young Data Scientists League (evan.shieh@youngdatascientists.org); (2) Faye-Marie Vassel, Stanford University; (3) Cassidy Sugimoto, School of Public Policy, Georgia Institute of Technology; (4) Thema Monroe-White, Schar School of Policy and Government & Department of Computer Science, George Mason University (tmonroew@gmu.edu). ::: Table of Links Abstract and 1 Introduction 1.1 Related Work … Read more

AI agents dominated the first quarter of this year. You didn’t need to look far for startups, funding, and general excitement pouring into this sector. These everything assistants are capturing the public imagination by promising to revolutionize processes, efficiencies, and decision-making. At home and work, agents will become our best friends. But there’s a problem. … Read more

As AI becomes more advanced and capable, it’s being applied to a growing number of use cases. There are more and more instances of AI being used as a tool by software developers and the recent emergence of ‘vibe coding’ has certainly been grabbing a lot of media attention. Just a few months ago, Andrej … Read more

So, I was catching up with a PM friend this week about a side project, and we got to talking about work. She dropped this line that’s been stuck in my head: “I honestly feel like I’m always trying to keep pace as a Product Manager.” What does that mean? She explained, “Every time I … Read more

:::info Authors: (1) Evan Shieh, Young Data Scientists League (evan.shieh@youngdatascientists.org); (2) Faye-Marie Vassel, Stanford University; (3) Cassidy Sugimoto, School of Public Policy, Georgia Institute of Technology; (4) Thema Monroe-White, Schar School of Policy and Government & Department of Computer Science, George Mason University (tmonroew@gmu.edu). ::: Table of Links Abstract and 1 Introduction 1.1 Related Work … Read more

:::info Authors: (1) Evan Shieh, Young Data Scientists League (evan.shieh@youngdatascientists.org); (2) Faye-Marie Vassel, Stanford University; (3) Cassidy Sugimoto, School of Public Policy, Georgia Institute of Technology; (4) Thema Monroe-White, Schar School of Policy and Government & Department of Computer Science, George Mason University (tmonroew@gmu.edu). ::: Table of Links Abstract and 1 Introduction 1.1 Related Work … 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. ## Embeddings 101: Unlocking Semantic Relationships in Text By @riteshmodi [ 14 Min read ] Text embeddings power AI language understanding. Learn … Read more

Table of Links Abstract and 1. Introduction 2. Community Challenges Overview and 2.1 CCKS 2.2 CHIP and 2.3 CCIR, CSMI, CCL and DCIC 3. Evaluation Tasks Overview and 3.1 Information Extraction 3.2 Text Classification and Text Similarity 3.3 Knowledge Graph and Question Answering 3.4 Text Generation and Knowledge Reasoning and 3.5 Large Language Model Evaluation … Read more

Table of Links Abstract and 1. Introduction 2. Community Challenges Overview and 2.1 CCKS 2.2 CHIP and 2.3 CCIR, CSMI, CCL and DCIC 3. Evaluation Tasks Overview and 3.1 Information Extraction 3.2 Text Classification and Text Similarity 3.3 Knowledge Graph and Question Answering 3.4 Text Generation and Knowledge Reasoning and 3.5 Large Language Model Evaluation … Read more

Table of Links Abstract and 1. Introduction 2. Community Challenges Overview and 2.1 CCKS 2.2 CHIP and 2.3 CCIR, CSMI, CCL and DCIC 3. Evaluation Tasks Overview and 3.1 Information Extraction 3.2 Text Classification and Text Similarity 3.3 Knowledge Graph and Question Answering 3.4 Text Generation and Knowledge Reasoning and 3.5 Large Language Model Evaluation … Read more