---
title: "Software with Poyraz #0612072026"
category: "Newsletter"
date: "2026-07-12"
readTime: "5 min read"
author: "Poyraz Avsever"
slug: "newsletter0612072026-en"
excerpt: "This week, we have a packed agenda, ranging from OpenAI's changing model strategies to the historic trade secret theft lawsuit filed by Apple, and from new technologies running in the browser to useful open-source projects."
coverImage: "/blog/images/newsletter0612072026-cover.png"
lang: "en"
---

# Software with Poyraz #0612072026

Greetings! 👋

This week, we have a packed agenda, ranging from OpenAI's changing model strategies to the historic trade secret theft lawsuit filed by Apple, and from new technologies running in the browser to useful open-source projects.

Without further ado, let's dive right into this week's highlights.

## Artificial Intelligence Developments

### OpenAI's Next-Generation Strategy: GPT-Live and the Fragmented GPT-5.6 Ecosystem

[Source link](https://medium.com/@davidakpovi/ai-news-week-of-july-6-to-july-12-2026-f81a26c49c55)

OpenAI has shifted its market strategy, abandoning the "one giant model that does everything" approach. They split the GPT-5.6 family into three different versions named "Sol", "Terra", and "Luna". Sol is designed for complex tasks, Terra for a cost-performance balance, and Luna for speed. At the same launch, they also introduced GPT-Live, a voice model capable of listening and speaking simultaneously. Now, instead of turning to the heaviest and most expensive model for every minor task, we will choose the most appropriate model for our needs, which will dramatically reduce our operational costs. With GPT-Live, the era of taking turns talking to an assistant is completely over; the ability to interrupt and communicate naturally will completely transform the voice assistant experience from the ground up.

### Global AI Governance: The Geneva Summit and New Regulation Crises

[Source link](https://unrot.co/blogs/today-top-10-ai-news-july-6-2026)

The biggest debate at the summit held in Geneva was who would control access to powerful AI models. Developing nations criticized the restrictions imposed by Western states on security grounds. On the other hand, China decided to turn off personalized features of AI assistants. We can clearly see that artificial intelligence is no longer just a technical issue but has become a serious matter of national security and digital sovereignty.

### The Limits of Scientific AI: GeneBench-Pro and Meta's SWE-Together Evaluations

[Source link](https://www.buildfastwithai.com/blogs/ai-news-today-july-6-2026)

In the biology test published by OpenAI, even the most powerful model, GPT-5.6 Sol, could only achieve a 31.5% success rate. On the coding front, in the tool released by Meta to measure autonomous software agents, the Claude Opus 4.8 model maintained its leadership with a 63% success rate. This shows us that although the general capabilities of the models have increased significantly, they are still at the level of an "assistant" in subjects requiring deep expertise such as medicine. However, coding autonomy is becoming increasingly seamless.

### Google Africa Applied AI Lab: Commercialization of Innovation in the Global South

[Source link](https://labs.google/aifuturesfund/africaailab)

Google has established the Africa Applied AI Lab in Ghana, providing local entrepreneurs with direct support and early access to DeepMind models. It makes a lot of strategic sense for big tech giants to start seeing emerging markets not just as "customers" but as "production hubs" to feed their own infrastructure. Such local investments are also highly valuable for breaking Western-centric data biases in AI.

## Software Developments

### Microsoft Build 2026: Agent-Centric (Agentic) Operating System Architecture

[Source link](https://blogs.windows.com/windowsdeveloper/2026/06/02/build-2026-furthering-windows-as-the-trusted-platform-for-development/)

Microsoft announced its new vision that makes AI agents the core unit of the Windows operating system. New security tools like Microsoft Execution Containers (MXC), which restrict the permissions of agents within the system at runtime, were introduced. As developers, we are rapidly shifting from coding static applications to orchestrating agents. Having agents so deeply integrated into the operating system is a tremendous power, but brand new headaches await us on the cybersecurity front.

### WebMCP Trials in Chrome 149: Transitioning from Visual Scraping to Structured Interaction

[Source link](https://www.openhermit.com/blog/webmcp-chrome-149-origin-trial-production-2026)

Google Chrome 149 has begun testing the WebMCP standard, which allows websites to offer their functionalities directly to AI agents. Agents that previously tried to understand the page by reading screenshots will now directly use the structured data provided by the site. This means we need to make our websites as accessible to machines as they are to humans. The new focal point for front-end developers should be WebMCP integrations.

### High-Performance Edge AI Inference in the Browser with LiteRT.js

[Source link](https://developers.googleblog.com/litertjs-googles-high-performance-web-ai-inference/)

The LiteRT.js library released by Google can run AI models directly in the browser by using the device's own power (GPU/NPU) at maximum capacity without going to a server. Being able to resolve heavy processes like zero-latency voice translation or image processing directly in the browser on the user's device will seriously reduce cloud costs.

### 2026 Software Framework Ecosystem and Development Trends

[Source link](https://shiftasia.com/column/top-20-web-development-frameworks/)

While the Next.js and React 19 combination maintains its leadership on the front-end, Ext JS 8.0 and Angular maintain their presence on the enterprise side with their established structures. On the back-end, Python and Django are living their golden age due to the ease of AI integrations. Choosing a framework is no longer just a technical preference; it has become a commercial decision that determines how quickly a company can integrate into AI tools.

## Design Developments

### Figma Config 2026: The Autonomous Transformation of Design to Production

[Source link](https://help.figma.com/hc/en-us/articles/39582753756695-What-s-new-from-Config-2026)

Figma introduced features that enable design to transform directly into front-end code with new tools like "Code Layers" and "Generative Plugins". Also, the Figma Motion feature, which allows animation without the need for external tools, has arrived. Figma is no longer just a drawing tool; it has positioned itself as the operating system right at the center of the software development process. Designer-Developer code hand-off frictions are becoming a thing of the past.

### 2026 UX/UI Trends: Machine Experience (MX) and Multimodality

[Source link](https://uxpilot.ai/blogs/product-design-trends)

Users utilizing AI agents instead of browsing sites has introduced the concept of "Machine Experience (MX)" into our lives. In design trends, while "secondarymorphism 2.0," which heavily uses secondary effects, is repopularizing, dynamic interface modes are becoming standard due to accessibility issues. It's now much more critical to offer a clean HTML/data architecture that AI agents can easily read and index, rather than just designs that look good to the eye.

### UX Market Stabilization and "AI Slop Fatigue"

[Source link](https://www.nngroup.com/articles/state-of-ux-2026/)

According to a Nielsen Norman Group report, useless AI assistants forced into every product have begun to create "AI Fatigue" among users. Companies are now looking for experts who not only draw interfaces but also create reliable designs that can transparently present to the user why these systems make mistakes. We need to stop adding AI to the product just because it is a trend and focus on solving problems that truly add value to the user.

## News from the Tech World

### Apple's Historic Trade Secret Theft Lawsuit Against OpenAI

[Source link](https://www.macrumors.com/2026/07/10/apple-sues-openai/)

Apple filed a federal lawsuit against OpenAI, alleging trade secret theft. The filing claims that former Apple employees leaked confidential documents and prototypes belonging to hardware projects to OpenAI. It is interesting that while two giants cooperate in software, they end up in court so fiercely in the hardware market like smart secondaryes. AI competition is starting to revolve not just around language models, but around the hardware those models will run on.

### Meta's Operational Massacre of 8,000 People and AI Fragility

[Source link](https://www.sfgate.com/tech/article/more-meta-layoffs-22282871.php)

Meta laid off 8,000 employees to divert resources directly into AI infrastructure. However, Mark Zuckerberg admitted that the development of AI agents is progressing much slower than expected. A massive amount of money is being spent in the industry, but the commercial productization speed of autonomous agents is still insufficient. The panic of shifting the entire workforce to AI is seriously damaging company cultures.

### Cloudflare Monetization Gateway: Stablecoin Payments in the Machine Economy

[Source link](https://blog.cloudflare.com/monetization-gateway/)

To solve the problem of agents increasing page traffic but not clicking on ads, Cloudflare announced a new infrastructure that charges machines for resources on the internet. Agents will be able to make instant micro-payments with cryptocurrencies from their own wallets without needing human approval. The internet's revenue model is evolving from ads and subscriptions into a brand new economy where machines trade with machines.

### 2026 Cybersecurity Breaches: AI Manipulation and Mobile Espionage

[Source link](https://mashable.com/tech/biggest-cybersecurity-data-breaches-2026)

Hackers are now directly manipulating AI assistants instead of looking for system vulnerabilities. For example, Meta's support bot was manipulated to take over accounts. The vulnerability of language models being "persuaded" by external instructions has reached a dimension at least as dangerous as traditional software vulnerabilities. Prompt injection type attacks will be the biggest cybersecurity problem of the coming period.
