My Wild Ride from Old-School Recruiting to AI-Smarter Outreach

The Mess: Why Old-School Outreach Tanks Recruiting’s tough, man. Here’s what I kept running into: Nobody’s Replying: Candidates get spammed with job offers all day. Good luck standing out. Manual Emails Are a Time Suck: Writing personal notes to 200 people? Yeah, no thanks. Boring Messages Flop: If it doesn’t click with their experience, they’re … Read more

Open Source Is Supposed to Be a Meritocracy—So Why Are Companies Trying to Buy Their Way In?

Imagine that you are a maintainer of a widely used open source project relied upon by developers worldwide. Being a maintainer means, that you get to decide which contributions by external contributors get accepted. Now, there are two contributions. One from an individual contributor and one from a person that you know works for a … Read more

Intelligence Isn’t What You Think It Is

Intelligence is not about remembering facts or doing well on tests. It’s about living a life where you can thrive. This means being healthy, financially secure, and happy. You might be great at solving complex math problems, but can you solve the puzzle of your own well-being? When we focus too much on IQ scores, … Read more

The Internet’s New Privacy Tax: ‘Consent or Pay’

Building on my previous article’s discussion of consent, companies must find better ways to navigate the ever-evolving, complex web of privacy regulations. One such strategy that has garnered significant attention is the practice of “Consent or Pay.” This approach hinges on giving users a choice between consenting to data collection or paying for an ad-free … Read more

The Internet Is Full of Duplicate Requests—Here’s How Smart Developers Prevent Them

When developing web applications, securing requests between the frontend and backend is one of the key tasks. Ignoring this aspect can lead to serious consequences: data leaks, duplicated operations, incorrect financial transactions, and even service outages. In this article, we will examine the main methods of securing requests and take a detailed look at such … Read more

AI Tries (and Fumbles) at Inflation Forecasting

:::info Authors: (1) Pham Hoang Van, Department of Economics, Baylor University Waco, TX, USA (Van Pham@baylor.edu); (2) Scott Cunningham, Department of Economics, Baylor University Waco, TX, USA (Scott Cunningham@baylor.edu). ::: Table of Links Abstract and 1 Introduction 2 Direct vs Narrative Prediction 3 Prompting Methodology and Data Collection 4 Results 4.1 Establishing the Training Data … Read more

Can AI Predict Inflation? Testing ChatGPT on Macroeconomic Forecasting

:::info Authors: (1) Pham Hoang Van, Department of Economics, Baylor University Waco, TX, USA (Van Pham@baylor.edu); (2) Scott Cunningham, Department of Economics, Baylor University Waco, TX, USA (Scott Cunningham@baylor.edu). ::: Table of Links Abstract and 1 Introduction 2 Direct vs Narrative Prediction 3 Prompting Methodology and Data Collection 4 Results 4.1 Establishing the Training Data … Read more

We Asked ChatGPT To Predict Oscar Winners—the Results Were…Interesting

:::info Authors: (1) Pham Hoang Van, Department of Economics, Baylor University Waco, TX, USA (Van Pham@baylor.edu); (2) Scott Cunningham, Department of Economics, Baylor University Waco, TX, USA (Scott Cunningham@baylor.edu). ::: Table of Links Abstract and 1 Introduction 2 Direct vs Narrative Prediction 3 Prompting Methodology and Data Collection 4 Results 4.1 Establishing the Training Data … Read more

Why AI Answers Change Depending on How You Ask the Question

:::info Authors: (1) Pham Hoang Van, Department of Economics, Baylor University Waco, TX, USA (Van Pham@baylor.edu); (2) Scott Cunningham, Department of Economics, Baylor University Waco, TX, USA (Scott Cunningham@baylor.edu). ::: Table of Links Abstract and 1 Introduction 2 Direct vs Narrative Prediction 3 Prompting Methodology and Data Collection 4 Results 4.1 Establishing the Training Data … Read more

Doctor, Doctor! AI Won’t Diagnose—Unless It’s in a Play

:::info Authors: (1) Pham Hoang Van, Department of Economics, Baylor University Waco, TX, USA (Van Pham@baylor.edu); (2) Scott Cunningham, Department of Economics, Baylor University Waco, TX, USA (Scott Cunningham@baylor.edu). ::: Table of Links Abstract and 1 Introduction 2 Direct vs Narrative Prediction 3 Prompting Methodology and Data Collection 4 Results 4.1 Establishing the Training Data … Read more

Can ChatGPT Predict the Future?

:::info Authors: (1) Pham Hoang Van, Department of Economics, Baylor University Waco, TX, USA (Van Pham@baylor.edu); (2) Scott Cunningham, Department of Economics, Baylor University Waco, TX, USA (Scott Cunningham@baylor.edu). ::: Table of Links Abstract and 1 Introduction 2 Direct vs Narrative Prediction 3 Prompting Methodology and Data Collection 4 Results 4.1 Establishing the Training Data … Read more

The TechBeat: One Month Left to Win Your Share of 15,000 USDT in Round 1 of the Spacecoin Writing Contest (3/18/2025)

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. ## One Month Left to Win Your Share of 15,000 USDT in Round 1 of the Spacecoin Writing Contest By @hackernooncontests [ … Read more

FreeEval: Efficient Inference Backends

Table of Links Abstract and 1 Introduction 2 Background and 2.1 Automatic Evaluation Methods for LLMs 2.2 Meta-Evaluation of LLMs 3 Design and Implementation and 3.1 Design Principles 3.2 FreeEval Architecture Overview and 3.3 Extensible Modular Design 3.4 Trustworthy Evaluation 3.5 Efficient Inference Backends 4 Conclusion, Ethical Considerations, and References 3.5 Efficient Inference Backends FreeEval’s … Read more

How FreeEval Incorporates A Range of Metaevaluation Modules

Table of Links Abstract and 1 Introduction 2 Background and 2.1 Automatic Evaluation Methods for LLMs 2.2 Meta-Evaluation of LLMs 3 Design and Implementation and 3.1 Design Principles 3.2 FreeEval Architecture Overview and 3.3 Extensible Modular Design 3.4 Trustworthy Evaluation 3.5 Efficient Inference Backends 4 Conclusion, Ethical Considerations, and References 3.4 Trustworthy Evaluation FreeEval prioritizes … Read more

FreeEval Architecture Overview and Extensible Modular Design

Table of Links Abstract and 1 Introduction 2 Background and 2.1 Automatic Evaluation Methods for LLMs 2.2 Meta-Evaluation of LLMs 3 Design and Implementation and 3.1 Design Principles 3.2 FreeEval Architecture Overview and 3.3 Extensible Modular Design 3.4 Trustworthy Evaluation 3.5 Efficient Inference Backends 4 Conclusion, Ethical Considerations, and References 3.2 FreeEval Architecture Overview FreeEval’s … Read more

The Design and Implementation of FreeEval

Table of Links Abstract and 1 Introduction 2 Background and 2.1 Automatic Evaluation Methods for LLMs 2.2 Meta-Evaluation of LLMs 3 Design and Implementation and 3.1 Design Principles 3.2 FreeEval Architecture Overview and 3.3 Extensible Modular Design 3.4 Trustworthy Evaluation 3.5 Efficient Inference Backends 4 Conclusion, Ethical Considerations, and References 3 Design and Implementation In … Read more

A Meta-Evaluation of LLMs

Table of Links Abstract and 1 Introduction 2 Background and 2.1 Automatic Evaluation Methods for LLMs 2.2 Meta-Evaluation of LLMs 3 Design and Implementation and 3.1 Design Principles 3.2 FreeEval Architecture Overview and 3.3 Extensible Modular Design 3.4 Trustworthy Evaluation 3.5 Efficient Inference Backends 4 Conclusion, Ethical Considerations, and References 2.2 Meta-Evaluation of LLMs Meta-evaluation … Read more

Background and Automatic Evaluation Methods for LLMs

Table of Links Abstract and 1 Introduction 2 Background and 2.1 Automatic Evaluation Methods for LLMs 2.2 Meta-Evaluation of LLMs 3 Design and Implementation and 3.1 Design Principles 3.2 FreeEval Architecture Overview and 3.3 Extensible Modular Design 3.4 Trustworthy Evaluation 3.5 Efficient Inference Backends 4 Conclusion, Ethical Considerations, and References 2 Background In this section, … Read more

FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models

Table of Links Abstract and 1 Introduction 2 Background and 2.1 Automatic Evaluation Methods for LLMs 2.2 Meta-Evaluation of LLMs 3 Design and Implementation and 3.1 Design Principles 3.2 FreeEval Architecture Overview and 3.3 Extensible Modular Design 3.4 Trustworthy Evaluation 3.5 Efficient Inference Backends 4 Conclusion, Ethical Considerations, and References Abstract The rapid development of … Read more

European Cyber Report 2025: 137% More DDoS attacks Than Last Year – What Companies Need To Know

Frankfurt am Main, Germany, March 17th, 2025/CyberNewsWire/–Cyberattacks are no longer an abstract threat – they dominate risk planning for companies worldwide. The latest Link11 European Cyber Report shows an alarming trend: the number of DDoS attacks has more than doubled, and they are shorter, more targeted, and more technically sophisticated. Organizations that do not continuously … Read more

AI Honeypots Are the Future of Cybersecurity

Photo by Carla Quario on Unsplash n Responding to cybersecurity threats means a company must be five steps ahead of the hackers. Clone traps, a vanguard in deception technology, automate threat response by deceiving the deceivers and fighting AI with AI. By the end of 2024, there were 240,830 live cybersecurity vulnerabilities and exposures(CVE): These are only the … Read more

Rules Over Followers: BYDFi’s Official Response to ExtraVOD’s False Allegations

Victoria, Seychelles, March 17th, 2025/Chainwire/–Recently, BYDFi has noticed misleading accusations made by the content creator ExtraVOD on social media against BYDFi. To ensure transparency and clarity for all users, BYDFi would like to present the facts of the situation: January 25: Detection of Abnormal Trading Activity When ExtraVOD’s first account reached the perpetual risk limit, … Read more

Meet AWS Marketplace: HackerNoon Company of the Week

Welcome to another edition of HackerNoon Company of the Week! Every week, we spotlight a fabulous company from our Tech Company Database, showcasing those making a significant impact on the global tech scene and in the lives of their users. This one-of-a-kind HackerNoon database ranks everything from S&P 500 giants to the most promising startups … Read more

House Of Doge And Dogecoin Foundation Unveil Board-Elect, Advisors And Global Dogecoin Adoption Plan

Miami, FL, March 17th, 2025/Chainwire/–Board-Elect and Advisory Team Include Top Executives in Payments, Sports, and Global Food & Beverage, With Additional Members Being Announced In the Coming Weeks   House of Doge has shared key details of its previously announced exclusive five-year partnership with the Dogecoin Foundation. This milestone partnership, aimed at advancing Dogecoin ($DOGE) as … Read more

Liquid Mercury And dVIN Labs Partner To Launch Investment-Grade Wine Trading Platform

CHICAGO, United States, March 17th, 2025/Chainwire/–Liquid Mercury’s solution will power the global order book for trading tokenized wine on the dVIN Protocol Liquid Mercury, a leading technology provider for digital asset marketplaces and crypto trading, announced today that it is entering into a strategic partnership with dVIN Labs (dVIN), a startup whose mission is to … Read more

SuperScale Case Study Highlights Aethir’s Impact On Gaming User Acquisition

SINGAPORE, Singapore, March 13th, 2025/Chainwire/–Aethir, a provider of decentralized cloud gaming infrastructure, has been featured in a newly released case study by SuperScale, a global expert in gaming user acquisition. The study provides an in-depth analysis of how Aethir’s cloud streaming technology enhances user acquisition strategies for gaming studios, presenting a scalable alternative to traditional … Read more