12-19-2025

ChatGPT Opens the AI App Store to Developers

Plus: Lovable’s $330M funding, Luma’s AI video model, and sports innovation from Peripheral Labs

Good morning, AI enthusiasts. OpenAI has launched an official app store inside ChatGPT, allowing developers to publish AI-powered tools that users can access directly during conversations. This expansion transforms ChatGPT from a chatbot into a comprehensive AI platform with multiple integrations.

By enabling seamless workflows through AI apps, this move could change how professionals approach automation and productivity. Will positioning ChatGPT as an app hub reshape how we rely on AI in daily tasks and professional environments?

In today’s AI recap:

  • ChatGPT opens AI app store for developers
  • Lovable raises $330M to accelerate vibe-coding app building
  • Luma AI debuts Ray3 Modify for precise video editing
  • Peripheral Labs applies self-driving sensors to immersive sports viewing

ChatGPT Unlocks AI App Store for Developers

From Larry Bruce:

"OpenAI’s new app store inside ChatGPT marks a major shift from chatbot to AI platform. This move empowers developers and professionals to integrate diverse AI tools directly within their workflows, unlocking fresh automation and productivity opportunities."

The Recap: OpenAI has launched an official app store inside ChatGPT, inviting developers to submit AI-powered apps for review and publication. This expands ChatGPT’s role from conversational agent to a hub for AI-driven tools.

Unpacked:

  • The app store lets developers publish AI integrations that users can access seamlessly during chat, simplifying automation and data tasks.
  • Professionals gain new ways to boost productivity by combining AI apps directly into their everyday conversations rather than switching tools.
  • This ecosystem growth signals a broader shift, positioning ChatGPT as a versatile platform for real-world AI applications beyond basic Q&A.

Bottom line: Opening the ChatGPT app store lets developers build and share AI tools that integrate smoothly into work life. It sets the stage for smarter workflows and a more connected AI environment for all users.

Lovable Scores $330M to Speed Up App Building with AI

From Larry Bruce: "Lovable’s soaring valuation shows the appetite for AI tools that let professionals create apps just by typing prompts. This leap in vibe-coding technology signals new paths for developers and entrepreneurs to automate and accelerate software projects with ease."
— Larry Bruce, BDCbox

The Recap: Sweden-based vibe-coding startup Lovable raised $330 million in Series B funding, more than tripling its valuation to $6.6 billion. The platform helps users build full apps using text prompts and now supports over 100,000 new projects every day with plans to expand integrations and enterprise features.

Unpacked:

  • Lovable’s vibe-coding platform enables building complete applications without writing traditional code, tapping into AI to translate text instructions into working software.
  • The company has attracted rapid user growth, fueling over 100,000 new projects daily, highlighting strong demand for AI-assisted development tools.
  • The fresh $330 million funding will go toward broadening integrations with other tools and adding powerful features for enterprise customers, pushing AI-assisted code creation deeper into the professional market source.

Bottom line: AI tools like Lovable are reshaping software creation by letting teams and solo developers work faster and smarter with natural language commands. This momentum promises to unlock new productivity levels and accelerate innovation across industries.

Luma AI Launches Ray3 Modify for Precise Video Editing

From Larry Bruce:
"Luma AI’s latest video model offers a fresh way to automate video editing by letting you control footage from start to finish. For creative professionals and developers, this tool expands what’s possible with AI-powered content creation and editing automation.
Larry Bruce, BDCbox"

The Recap:
Luma AI introduced Ray3 Modify, a new model that lets users generate and edit videos by controlling start and end frames while keeping human performances intact. It’s available on the Dream Machine platform, making AI-driven video modifications more accessible for creative teams.

Unpacked:

  • Ray3 Modify enables precise video generation by manipulating only the start and end frames, allowing seamless adjustments without losing the original human actor's performance.
  • The tool integrates into Luma’s Dream Machine platform, which means teams can automate content changes and experiment creatively within an established AI workspace.
  • By preserving actor performance, Ray3 Modify addresses a key challenge in AI video editing: combining AI enhancements with real-world footage, expanding possibilities for marketing, entertainment, and remote collaboration.

Bottom line:
Ray3 Modify offers professionals a powerful way to save time and increase creative control in video projects. This development points to broader trends in AI tools that blend human input and machine automation to boost productivity in content creation.

Self-Driving Sensors Transform Sports Viewing

From Larry Bruce:

"Peripheral Labs taps self-driving car sensor technology to unlock immersive, affordable 3D sports experiences. This breakthrough blends AI, robotics, and entertainment, offering early adopters exciting new ways to reshape fan engagement and player analytics."

The Recap: Peripheral Labs raised $3.6 million to develop volumetric video technology that uses the sensors behind self-driving cars. Their goal is to make multi-angle, immersive sports viewing affordable and scalable.

Unpacked:

  • Peripheral Labs secured $3.6 million funding to advance their AI-driven volumetric video tech that reconstructs 3D sports scenes at lower cost, according to the announcement.
  • Their approach captures multi-angle views and biomechanical data by combining robotics, computer vision, and sensor tech, helping fans and broadcasters experience sports like never before.
  • By repurposing self-driving car sensors, they reduce expenses traditionally linked with 3D reconstruction, making this technology more accessible for wider sports applications.

Bottom line: This innovation turns complex robotics sensors into practical tools for sports, enhancing viewer immersion and player data analysis. It paves the way for richer fan experiences and smarter sports broadcasting on a budget.

The Shortlist

Adobe faces a proposed class-action lawsuit alleging it used pirated books, including those from the plaintiff, to train its SlimLM language model, spotlighting ongoing AI training data legal risks.

Microsoft upgraded its Phone Link and Link to Windows apps to allow Android phones to remotely lock Windows 11 PCs, share files, sync clipboards, and mirror screens, enhancing AI-driven cross-device productivity.

Peripheral Labs raised $3.6 million to develop volumetric video tech that repurposes self-driving car sensors for affordable, photorealistic 3D sports viewing and biomechanical player data, aiming to revolutionize fan engagement.

Amazon launched the Alexa+ Greetings feature that uses conversational AI to interact via Ring doorbells, managing deliveries, sales visits, and messages with context-sensitive responses based on video descriptions.

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