#059 • 10 February 2026

Contents of this Newsletter

📢

The Rise of Ads in AI

⏰ : 4 min

✅

Quash Tests Your Apps

⏰ : 4 min

🔔

What We Shipped Last Week

⏰ : 2 min

📓

Blog Picks

⏰ : 10 min

🗞️

Weekly AI News

⏰ : 5 min

MAIN STORY

Ads in AI and How We Feel About it

At the 2026 Super Bowl, one of the biggest entertainment events of the year, the conversation moment that rippled across the tech world came not from a football play but from a commercial break where Anthropic aired ads that took aim at ChatGPT and its plans to introduce advertising inside the chatbot experience. These spots depicted an AI assistant suddenly pivoting into promotional mode even in the middle of a personal conversation, implicitly contrasting Anthropic’s own AI, Claude, which the company has publicly committed to keeping ad-free.

This moment was widely covered, with many reporting that the ad tagline highlighted the difference by saying “Ads are coming to AI. But not to Claude.”

The choice to bring this debate onto one of the most watched stages in America is telling of how high the stakes have become for AI companies, and it is prompting developers, builders and users to think about what it means when the tools we talk to begin to show paid content inside those conversations.

OpenAI’s Shift to Advertising and What Users Will See

Shortly after Anthropic’s Super Bowl placement, OpenAI began testing advertisements inside ChatGPT for users on the Free and Go subscription tiers in the United States, marking a clear shift in how the platform will be funded and monetized moving forward. In an official release, OpenAI confirmed that these ads are clearly labeled as sponsored and visually separated from the AI’s answers and the company emphasized that the existence of those ads does not influence the chatbot’s responses. The intent, according to OpenAI, is to support broader access to advanced AI features by subsidizing the cost of maintaining and improving the platform.

Ads appear at the end of a ChatGPT response and are designed to be contextually relevant based on the content of the conversation, previous interactions and user history. Users on higher-tier paid subscriptions such as Plus, Pro and Enterprise reportedly will not see ads, at least initially. This structure aims to balance user experience across different tiers while continuing to offer a free option.

Ads in AI Are Not Just Financial but Philosophical

This shift is not merely about rolling out a new revenue model, but about reconciling two very different philosophical approaches to AI and its role in people’s lives. OpenAI’s executives have publicly defended their decision, pointing out that well funded platforms can offer powerful AI tools at broader scale if they find sustainable business models, including advertising. OpenAI has said the move will help maintain free access and allow the company to continue improving the product while preserving core trust and privacy standards.

Anthropic’s leadership, by contrast, has publicly argued that injecting ads inside conversational AI spaces could compromise the neutrality of those systems and undermine user trust, especially in sensitive areas where users rely on the tool for advice, guidance, or personal research. The company used its Super Bowl commercials and related marketing efforts to articulate that position and to differentiate its own product offering as ad-free.

What This Means for the Future of AI Interactions

The clash over advertising inside AI reflects a broader moment of maturation in the industry where every major player is exploring how to build sustainable business models around rapidly growing user bases and ever more expensive compute infrastructure. For users, this change raises new questions about how ads will be presented, how personalization works, how privacy is protected and how trust is maintained when the digital assistant you rely on begins to show sponsored content.

If ads remain clearly marked, separate from the conversational output and controllable through user preferences, many observers believe this model can coexist with a high-quality user experience. Others worry that even subtle commercial pressures might push AI systems toward prioritizing attention and engagement over pure helpfulness, especially as advertising algorithms learn over time how to optimize for clicks and conversions.

Understanding this shift now, as it unfolds, matters because AI assistants are rapidly becoming everyday tools for professionals, students and casual users alike. The way monetization is handled today could influence how these systems evolve and how people perceive their reliability and integrity in the years to come.

Stepping Back and Looking Ahead

The recent Super Bowl ads and the subsequent rollout of advertising inside ChatGPT are not just marketing moments, but markers of a turning point in how AI platforms think about revenue, user experience and competitive differentiation. Tech leaders, users and industry watchers will continue to debate whether integrating ads into AI is a necessary evolution or a compromise on values.

For anyone building with, relying on or engaging with AI, this moment invites reflection on what we value in the tools we use and what models will best support innovation without undermining trust. This is not simply a revenue decision, but a conversation about the future of human-machine interaction and the economics that underpin it.

Your Apps, We Test

Each week, we put our execution engine to work on real apps.

This week, we ran our first iOS app execution, a new capability we’re rolling out soon. Using a simple prompt, we asked Quash to open Apple Maps, search for “coffee near me,” and select the first result. The flow executed successfully, validating that the same natural language–driven execution now works reliably on iOS as well.

This marks an important step toward extending Quash’s execution engine beyond Android and bringing consistent mobile testing workflows across platforms.

Want us to test your app next? Drop us a mail at hello@quashbugs.com

What Did We Ship?

Quash Playground

v1.1.10 | February 10, 2026

This week, we launched the Quash Playground, a lightweight way to experience how Quash works without installing anything.

The Playground lets you run up to three full tasks directly from the website, using real devices and the same execution flow as the product. To help users get started quickly, we’ve added sample prompts that show what Quash can do, while still allowing users to try their own flows.

Each Playground session runs for up to 30 minutes, giving enough time to explore intent-driven execution, device interactions and test results end to end.

Check it out here: https://quashbugs.com/

Check out our Recent Blogs

News

This Week In AI

OpenAI launches GPT-5.3-Codex

OpenAI unveiled GPT-5.3-Codex, the latest frontier agentic model that blends powerful coding performance with deep reasoning and real-world tool use. The model is reported to be 25 % faster than its predecessor and capable of executing long-running tasks, complex research, and professional workflows — making it not just a coding tool but a general AI agent for developers and knowledge workers. Notably, OpenAI used early versions of the model to help debug and build itself, highlighting a shift toward AI systems that accelerate their own training and deployment.

Anthropic releases Claude Opus 4.6

Anthropic released Claude Opus 4.6 on February 5, closely following OpenAI’s latest model update. The release introduces a 1-million-token context window (currently in beta), alongside improvements in long-horizon task planning, coding and debugging accuracy, and reliability when working with large codebases. Claude Opus 4.6 strengthens Anthropic’s position in enterprise AI, particularly for teams handling long documents, complex reasoning workflows, and multi-stage execution tasks, placing it in more direct competition with OpenAI’s latest models.

GitHub integrates Claude and Codex AI coding agents

GitHub announced that it’s adding support for both Anthropic’s Claude and OpenAI’s Codex AI agents directly into its platform, including in GitHub, GitHub Mobile and Visual Studio Code. Developers on Copilot Pro Plus or Enterprise can choose from multiple AI agents to help with coding tasks such as issue resolution and pull request management. This marks a practical step toward multi-agent AI workflows in developers’ everyday tools, letting teams pick the best model for each context and reducing context switching in coding environments.

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