The Infinity Tech XVII

June 30, 2025 • Estimated Reading Time: 7 minutes

🚀 Happy Monday!

Welcome to The Infinity Tech!

This week, we’re welcoming 43 new members to our growing tech community. Let’s dive into this week’s highlights with Galactic Sync – your quick and sharp roundup of the latest in Tech!

🛸 This week’s highlights:

🔹 Why AI will eat McKinsey’s lunch — but not today

🔹 Meet Mu, the small language model in charge of Microsoft's Settings AI agent

🔹Kubernetes Scaling Strategies

🔹 Spekter Games Raises $5 Million to Launch “Spekter Agency”, a Web3-Enhanced Roguelite Game on Telegram

Tech News

🔹 Why AI will eat McKinsey’s lunch — but not today

🔹 How vulnerable is critical infrastructure to cyberattack in the US?

🔹 How Much Energy Does AI Use? The People Who Know Aren’t Saying

🔹 Agentic Misalignment: How LLMs could be insider threats

🔹 Meet Mu, the small language model in charge of Microsoft's Settings AI agent

Tech Articles

🔹 Basic facts about GPUs

🔹 OpenAI Charges by the Minute, So Make the Minutes Shorter

🔹 How to think about time in programming

🔹 The bitter lesson is coming for tokenization

🔹 How Kafka Saved Our Payment System And Helped Us Scale to 10 Million Users

🔹Kubernetes Scaling Strategies

🔹 The 5 Most Surprising, Ingenious Data Structures and What They Actually Do

Companies News

🔹 Centific raises $60M series A to power the next wave of global agentic AI systems

🔹 Spekter Games Raises $5 Million to Launch “Spekter Agency”, a Web3-Enhanced Roguelite Game on Telegram

🔹 Klutch AI Emerges from Stealth with $8M Seed to Bring Intelligent AI Agents to Construction Teams

🔹 DataBahn.ai Scores $17M Series A

OWASP Launches AI Testing Guide to Address Security, Bias, and Risk in AI Systems

The OWASP Foundation has officially introduced the AI Testing Guide (AITG), a new open-source initiative aimed at assisting organizations in the systematic testing and security of artificial intelligence systems. This guide serves as a fundamental resource for developers, testers, risk officers, and cybersecurity professionals, promoting best practices in AI system security.

Docker State of App Dev: AI | Docker

The hype is real, but so are the challenges. Here's what developers, teams, and tech leaders need to know about AI’s uneven, evolving role in software.

Image Compatibility In Cloud Native Environments

In industries where systems must run very reliably and meet strict performance criteria such as telecommunication, high-performance or AI computing, containerized applications often need specific operating system configuration or hardware presence. It is common practice to require the use of specific versions of the kernel, its configuration, device drivers, or system components. Despite the existence of the Open Container Initiative (OCI), a governing community to define standards and specifications for container images, there has been a gap in expression of such compatibility requirements.

Open Source Repositories

🔹 Gitingest, turn any Git repository into a prompt-friendly text ingest for LLMs.

🔹Notepad Next, A cross-platform, reimplementation of Notepad++.

🔹Claude Code Router, is a tool for routing Claude Code requests to different models, and you can customize any request.

🔹 edit, A simple editor for simple needs.

🔹 Jan is an open-source ChatGPT alternative that runs 100% offline on your computer.

🔹 Fire-enrich is a toolkit that enriches your Firestore documents with data from any API or database.

🔹 Buildfy-Free is a free HTML website template designed for agencies and businesses.

🔹 Kube-no-trouble is a command-line tool that detects deprecated Kubernetes API versions in your code and cluster.

🔹 Onlook is an open-source visual editor that allows users to visually build, style, and edit their React App with AI.

❝

“If you keep your eye on the profit, you’re going to skimp on the product. But if you focus on making really great products, then the profits will follow.”
― Steve Jobs

Two simple yet powerful strategies to fundamentally transform your experience when working with AI:

1. Refine Your Prompts with the AI Itself (Meta-Prompting) Don't struggle to find the perfect prompt alone. Instead, ask the AI for help. Ask it, "How can I improve this prompt to get clearer and more effective results?" Use the AI as a consultant to help you communicate better with it.

2. Build a Dialogue, Not a Single Command (The Iterative Approach) Avoid trying to solve a complex goal with one single, massive command. Turn the process into a conversation:

  • Start with a simple first step.

  • Evaluate the response you get.

  • Guide the AI with feedback or ask for corrections. Treat the AI less like a one-off tool and more like a collaborator you work with to reach your goal step-by-step.

The Golden Rule: Mastery in AI comes from practice. The best way to learn how to use it is, simply, to use it. Every interaction makes you a more proficient user.