It’s a new day at Digg. Fresh stories are clustering now. 15% complete.
Converts an input image into 3D meshes, Gaussian splats, and audio files using Claude skills and external AI APIs.
Archives experiments of AI agents autonomously tuning optimizers, schedules, and hyperparameters to reach target validation loss in fewest steps on a small LM benchmark.
Integrates Ghostty into a macOS terminal with vertical tabs, sidebar metadata, OSC notifications, and in-app browser for AI coding agents.
Provides AI agent toolkit with coding CLI, unified LLM API, TUI/web UI libs and Slack bot support.
Automates articulated 3D asset creation by prompting LLMs to generate executable Python code defining parts, geometry and joints.
Simulates and scores LLM sales agents in a deterministic insurance environment with CRM tools, calls, quotes, and 100 fixed leads.
Trains video world models via diffusion-forcing with a Hydra-configured pipeline for training, evaluation and planning.
Manages terminal sessions for AI coding agents in one TUI with forking, orchestration, monitoring, and Docker sandboxing.
Converts datasets to instruction format, trains Rust BPE tokenizer, tokenizes to NumPy, and samples epochs for LLM pretraining.
Cross-posts to X, Mastodon, Bluesky and LinkedIn via APIs with image alt-text and RSS automation in a Kotlin self-hosted service.