The HackerNoon Newsletter: The New Tools Rewriting the Web (6/15/2025)

How are you, hacker? đŸȘ What’s happening in tech today, June 15, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Microsoft’s Internet Explorer Retired After 26 Years in 2022, Russian Spacecraft Vega 2 Landed on Venus in 1985, Charles Goodyear Patented the Process of Vulcanization in 1844, The … Read more

Here’s What You Need to Know About Go 1.22

Today the Go team is thrilled to release Go 1.22, which you can get by visiting the download page. Go 1.22 comes with several important new features and improvements. Here are some of the notable changes; for the full list, refer to the release notes. Language changes The long-standing “for” loop gotcha with accidental sharing … Read more

The GTM Singularity: Why Sales Will Never be the Same Again

We’ve Hit the Limits of Human-First Growth Every company I’ve ever scaled had the same sales playbook: hire more people, train them faster, scale them harder. Whether it was [Uber](https://Hi there, It looks like your article is mostly AI-generated. Right now, we’re not accepting AI-generated articles as they often lack depth and can affect our … Read more

Lessons from a Student-Driven Onboarding Experiment

Table of Links Abstract and I. Introduction II. Approach A. Architectural Design B. Proof of Concept Implementation III. Envisioned Usage Scenarios IV. Experiment Design and Demographics A. Participants B. Target System and Task C. Procedure V. Results and Discussion VI. Related Work VII. Conclusions and Future Work, Acknowledgment, and References A. Participants We invited students … Read more

Why Interactive Visuals Are the Next Big Thing in Software Collaboration

Table of Links Abstract and I. Introduction II. Approach A. Architectural Design B. Proof of Concept Implementation III. Envisioned Usage Scenarios IV. Experiment Design and Demographics A. Participants B. Target System and Task C. Procedure V. Results and Discussion VI. Related Work VII. Conclusions and Future Work, Acknowledgment, and References III. ENVISIONED USAGE SCENARIOS Besides … Read more

Ever Seen Your Code as a City?

:::info Authors: (1) Alexander Krause-Glau, Software Engineering Group, Kiel University, Kiel, Germany (akr@informatik.uni-kiel.de); (2) Wilhelm Hasselbring, Software Engineering Group, Kiel University, Kiel, Germany (wha@informatik.uni-kiel.de). ::: Table of Links Abstract and I. Introduction II. Approach A. Architectural Design B. Proof of Concept Implementation III. Envisioned Usage Scenarios IV. Experiment Design and Demographics A. Participants B. Target … Read more

How an 8B Open Model Sets New Standards for Safe and Efficient Vision-Language AI

Table of Links Abstract and 1 Introduction 2 Terminology 3 Exploring the design space of vision-language models and 3.1 Are all pre-trained backbones equivalent for VLMs? 3.2 How does the fully autoregressive architecture compare to the cross-attention architecture? 3.3 Where are the efficiency gains? 3.4 How can one trade compute for performance? 4 Idefics2 – … Read more

The Small AI Model Making Big Waves in Vision-Language Intelligence

Table of Links Abstract and 1 Introduction 2 Terminology 3 Exploring the design space of vision-language models and 3.1 Are all pre-trained backbones equivalent for VLMs? 3.2 How does the fully autoregressive architecture compare to the cross-attention architecture? 3.3 Where are the efficiency gains? 3.4 How can one trade compute for performance? 4 Idefics2 – … Read more

The Artistry Behind Efficient AI Conversations

Table of Links Abstract and 1 Introduction 2 Terminology 3 Exploring the design space of vision-language models and 3.1 Are all pre-trained backbones equivalent for VLMs? 3.2 How does the fully autoregressive architecture compare to the cross-attention architecture? 3.3 Where are the efficiency gains? 3.4 How can one trade compute for performance? 4 Idefics2 – … Read more

Why The Right AI Backbones Trump Raw Size Every Time

Table of Links Abstract and 1 Introduction 2 Terminology 3 Exploring the design space of vision-language models and 3.1 Are all pre-trained backbones equivalent for VLMs? 3.2 How does the fully autoregressive architecture compare to the cross-attention architecture? 3.3 Where are the efficiency gains? 3.4 How can one trade compute for performance? 4 Idefics2 – … Read more

Can Smaller AI Outperform the Giants?

:::info Authors: (1) Hugo Laurençon, Hugging Face and Sorbonne UniversitĂ©, (the order was chosen randomly); (2) LĂ©o Tronchon, Hugging Face (the order was chosen randomly); (3) Matthieu Cord, Sorbonne UniversitĂ©; (4) Victor Sanh, Hugging Face. ::: Table of Links Abstract and 1 Introduction 2 Terminology 3 Exploring the design space of vision-language models and 3.1 … Read more

Groundbreaking MIT Research Indicates That AI Can in Fact Teach Other AI Models

What’s the biggest difference between an AI model and a human brain? Over time, myriad answers have been given—the brain is more energy-efficient, more multifaceted in its media of input, and also chemically enabled in addition to being electrical—yet the human brain’s most important feature is its amazing plasticity. If a patient’s body part (like … Read more

Logistic Regression for Binary Classification With Core APIs

Content Overview Setup Load the data Preprocess the data Logistic regression Logistic regression fundamentals The log loss function The gradient descent update rule Train the model Performance evaluation Save the model Conclusion This guide demonstrates how to use the TensorFlow Core low-level APIs to perform binary classification with logistic regression. It uses the Wisconsin Breast Cancer Dataset for tumor classification. Logistic regression is … Read more

Quickstart Guide: TensorFlow Core APIs

Content Overview Setup Load and preprocess the dataset Build a machine learning model Define a loss function Train and evaluate your model Save and load the model Conclusion This quickstart tutorial demonstrates how you can use the TensorFlow Core low-level APIs to build and train a multiple linear regression model that predicts fuel efficiency. It uses the Auto … Read more

How Japan’s cautious approach to Web3’s digital assets could attract Chinese capital flight

On June 7, 2025, Japan enacted a series of regulations aimed at enabling stronger consumer protections around cryptocurrency investments, mandating that cryptocurrency exchanges store customer assets in Japan, and enabling stronger anti-money laundering (AML) laws. These regulations also allow individuals to use cryptocurrencies directly in apps, marking a significant step in mainstream digital asset adoption. … Read more

How AI Is Revolutionizing Agile Program Management with Confluence & Streamlit

Problem Statement: With Copilot integrated into the organization’s applications, finding rarely used data from files, SharePoint, and other accessible sources has become incredibly easy. I’ve been relying heavily on this Gen AI capability. One day, I needed a summary view of all the features (team’s deliverables for a Quarter in Agile Framework) and their statuses … Read more

The Getblock Theory: A Developers Guide

Our whole universe was in a hot, dense state n Then nearly fourteen billion years ago, expansion started, wait n The Earth began to cool n The autotrophs began to drool n Neanderthals developed tools n We built a wall (We built the pyramids) n Math, science, history, unraveling the mystery n That all started … Read more

Happy Birthday, Mr. President

What is Friday the 13th to you? Is it a day to celebrate and appreciate one of the greatest slasher horror franchises in movie history? Or, is it a day to stay at home to avoid something falling on your head? I used to be superstitious, but also curious. Why is that? Why Friday the … Read more

Answer to Win Your Share of $5,000: How Does GetBlock Simplify Full Node Hosting?

If you’re a developer, writer, or blockchain enthusiast, the Web3 Development Writing Contest invites you to explore how GetBlock simplifies full node hosting and makes blockchain infrastructure more accessible. Use this template to guide your story—for a chance to win from $5,000 in prizes. :::info Note: This template is merely a guide. You may answer the … Read more

The TechBeat: The Case for a Decentralized Cloud: How Vendor Lock-in Broke Cloud Storage (6/14/2025)

How are you, hacker? đŸȘ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. ## The Case for a Decentralized Cloud: How Vendor Lock-in Broke Cloud Storage By @siafoundation [ 7 Min read ] Cloud storage … Read more

The Missing Infrastructure Layer: Why AI’s Next Evolution Requires Distributed Systems Thinking

The recent announcement of KubeMQ-Aiway caught my attention not as another AI platform launch, but as validation of a trend I’ve been tracking across the industry. After spending the last two decades building distributed systems and the past three years deep in AI infrastructure consulting, the patterns are becoming unmistakable: we’re at the same inflection point that microservices … Read more

How Do Hackers Get Phishing Emails Past Filters?

With all the advances in email security, it would be easy to assume that phishing emails are a relic of the past. However, they continue to land in inboxes every day. Hidden among legitimate messages are fake invoices, password reset requests, and urgent warnings that somehow slip through. Phishing has evolved from the old spray-and-pray … Read more

Rust 1.83.0: Detailing the Changes

The Rust team is happy to announce a new version of Rust, 1.83.0. Rust is a programming language empowering everyone to build reliable and efficient software. If you have a previous version of Rust installed via rustup, you can get 1.83.0 with: $ rustup update stable If you don’t have it already, you can get … Read more

Introducing a Flagship MCP Sample App Powered by Azure AI Foundry And LlamaIndex.TS

Microsoft’s DevRel is excited to introduce AI Travel Agents, a sample application demo with enterprise functionality that demonstrates how developers can coordinate multiple AI agents and MCP servers (written in Java, .NET, Python and TypeScript) to explore travel planning scenarios. It’s built with LlamaIndex.TS for agent orchestration, Model Context Protocol (MCP) for structured tool interactions, Azure … Read more

How We Taught a Neural Network to Design Headstones

When people think of machine learning, headstones probably don’t come to mind. But in one of the more profound applications of generative AI, we built a system that uses machine learning to design custom memorial products—yes, including gravestones—tailored to personal preferences and cultural sensitivities. This wasn’t just a quirky ML experiment. It was a full-stack … Read more