Rabbit Launches Beta Version of New Large Action Model

Rabbit R1’s new LAM playground: Rabbit has launched a beta version of its next-generation Large Action Model (LAM) playground, aiming to deliver on its initial promises for the Rabbit R1 device.

• The company has released 16 over-the-air updates since the R1’s launch, addressing bugs and adding new features.
• The new LAM playground, set to launch in beta on October 1, represents a significant step towards fulfilling the company’s original vision.

How the new LAM playground works: The system operates as a Generic Website Agent, capable of performing tasks through text prompts or natural language requests to the Rabbit R1.

• Users can watch the LAM work in real-time within a virtual machine-like environment.
• The system uses a vision model to analyze screenshots and direct scripts to interact with web pages, adapting to UI changes and handling tasks like closing cookie prompts.

Key improvements and features: The new LAM playground demonstrates progress in fulfilling Rabbit’s initial promises and expands the device’s capabilities.

• The system can perform tasks such as finding specific properties on real estate websites or playing web-based games.
• Rabbit has addressed legal concerns regarding travel booking by allowing users to see and interact with the booking process.
• The LAM has been trained on a desktop OS (Linux), potentially enabling it to perform more complex tasks like creating documents or presentations.

Challenges and limitations: Despite the progress, the beta version of the LAM playground still faces several obstacles.

• The system is currently slow, with new instructions taking 5-6 seconds on average to process.
• Bugs are present, such as hallucinations when generating content.
• Potential issues with website permissions and licensing agreements may arise as the technology develops.

Future developments: Rabbit is working on additional features and improvements for the R1 device and its AI capabilities.

• More natural language interactions with the R1 have been made public recently.
• An Alpha test of Teach Mode is underway, offering a more intuitive alternative to apps like Apple’s Shortcuts.
• The company aims for a public release of the improved LAM in approximately six months.

Market competition and differentiation: Rabbit faces challenges in distinguishing itself in an increasingly competitive AI device market.

• The company’s vision extends beyond AI-powered smartphones, focusing on cross-platform capabilities.
• However, it remains uncertain whether consumers will prioritize this feature over the convenience of AI-enabled phones from major manufacturers.

Analyzing the road ahead: While Rabbit has made significant strides in delivering on its promises, the company still faces considerable challenges in the rapidly evolving AI device market.

• The success of the R1 and its LAM technology will depend on continued improvements in speed, reliability, and functionality.
• Rabbit’s ability to secure necessary permissions and partnerships with major platforms and websites will be crucial for long-term viability.
• The company’s vision of cross-platform AI capabilities may set it apart, but it must convince consumers of its value proposition in the face of competition from established smartphone manufacturers.