LarryLoop

AutoScientist is a system that self-improves and automates the full research loop behind model training and alignment, making it possible for more teams to shape and refine the AI they depend on. Model training and reinforcement learning are among the most powerful ways to shape a model, but they are also among the hardest to get right outside a frontier lab because attempts can fail through catastrophic forgetting, overfitting on small or low-quality datasets, and conflicting training signals. AutoScientist co-optimizes data and model training recipes automatically, self-improving across both until quality converges on the user’s objective. Where Adaptive Data shapes the inputs, AutoScientist shapes the model, running the full research loop end-to-end so users walk away with models adapted to their goal. The loop runs itself: data and recipes are co-optimized in lockstep, iterating until the model converges on the behavior described.

Fastlane is an AI-powered short-form content engine designed to help products gain visibility by automatically generating and distributing viral content tailored to a specific audience. Users simply input their website URL, and it analyzes the product to create personalized, high-performing content ready for social media. It produces formats such as slideshows, hook-and-demo videos, AI-generated UGC, and text-based posts, continuously adding new formats based on what is trending. It focuses on short-form platforms, allowing users to publish and schedule content directly to TikTok, Instagram Reels, and YouTube Shorts from within the same interface. Fastlane removes the need to manually ideate, script, and edit content by generating ready-to-post assets that can be reviewed, edited, and customized with branded or stock media. It also incorporates a content selection workflow where users can quickly approve or skip generated ideas, enabling rapid iteration.