Autoresearchv1.0.0

Run an autonomous loop to test thousands of hyperparameter configurations overnight. Each experiment runs for 5 minutes, logs results, and keeps only improvements. Wake up to a log of experiments and a better model.

Let the agent modify the model architecture, such as depth, width, and activation functions, to find optimal configurations for language modeling. The agent autonomously explores and validates architectures.

Experiment with different optimizers (Muon, AdamW) and their parameters (learning rate, weight decay) to minimize validation bits per byte. The agent autonomously iterates and discards bad runs.

Deploy the skill for overnight or multi-day runs where the agent continuously modifies training code, runs experiments, evaluates results, and improves the model without human intervention.

Offer a cloud-based platform where users can submit their model training code and let an AI agent autonomously optimize it. Revenue from subscription tiers based on GPU hours and experiment volume.

Provide a service to clients who want to optimize their neural network models. Use the skill to run autonomous experiments and deliver improved model configurations. Charge per project or per model improvement.

Bundle GPU compute with the autonomous research skill, allowing customers to run experiments without managing infrastructure. Revenue from compute margins and a markup for the AI optimization service.