Tesla is pushing further into autonomous mobility, officially rolling out its robotaxi service in Dallas and Houston. The expansion was confirmed via a short social media post showcasing driverless vehicles operating without human monitors in the front seat.

This marks Tesla’s third robotaxi market in Texas after launching in Austin, where the company has been testing and gradually scaling the service since 2025. According to earlier filings, the Austin fleet has already recorded multiple incidents, highlighting both the rapid progress and ongoing challenges of real-world autonomous deployment.

While the Dallas and Houston rollouts appear limited for now, the move signals Tesla’s broader ambition to scale autonomous ride-hailing. With early-stage fleets still small, the real test will be whether Tesla can expand safely while maintaining reliability in increasingly complex urban environments.

Beyond planning, Roblox is introducing powerful new AI tools like Mesh Generation and Procedural Model Generation. These features let developers instantly create 3D assets and dynamically adjust them, speeding up game development dramatically.

What’s even more interesting is the testing layer. The AI can now simulate gameplay, detect bugs, analyze logs, and suggest fixes, creating a self-improving loop where the system continuously refines the game. This brings Roblox closer to fully automated development cycles.

Looking ahead, Roblox plans to support multiple AI agents working together and integrate tools from companies like Anthropic and OpenAI. If this vision plays out, building games could become faster, smarter, and accessible to a much wider audience.

Roblox is leveling up its AI tools by transforming Roblox Assistant into something much bigger than a simple prompt tool. With the new Planning Mode, developers can now collaborate with AI step-by-step instead of getting one-shot outputs that often miss the mark.

Planning Mode analyzes your game idea, asks follow-up questions, and builds a structured plan before any code is written. This means creators can refine their vision upfront, whether it’s defining art style, gameplay mechanics, or how assets should be built. The goal is to reduce mistakes and make the final result closer to what the creator actually imagined.

This shift turns AI from a tool into a workflow partner. Instead of replacing developers, it helps them think, plan, and execute faster, especially for those without deep technical experience.

AI-powered development tools are accelerating this trend. While they enable innovation, they also make it easier to create low-quality, spammy, or even harmful apps at scale. This puts more pressure on platforms to improve review systems and user protection.

Still, the bigger picture is clear. AI is reshaping how apps are built and who can build them. The challenge now is not growth, but managing that growth without compromising trust and safety.

The idea that AI would replace apps is quickly falling apart. New data shows app launches are exploding, with releases up 60% year-over-year across both Apple App Store and Google Play Store, and even higher growth on iOS alone.

Instead of killing apps, AI is lowering the barrier to building them. Tools powered by models like those from OpenAI are making it possible for non-developers to create apps faster than ever. This is turning the app economy into something closer to a creator economy.

The result is a new kind of gold rush. More people are building apps, more niches are being filled, and the app ecosystem is expanding rather than shrinking. AI isn’t replacing apps, it’s multiplying them.