A practical lab for exploring Apple's Core AI framework, model assets, specialization, and on-device inference.

Complete Really Simple Licensing (RSL) support for WordPress sites. Define machine-readable licensing terms for your content, enabling AI companies, crawlers, and other automated systems to properly license your digital assets.

Use many on device and cloud models with Apple's Foundation Models framework in iOS and macOS with a full chat experience.

670 MB/s Swift tokenizer inspired by Marcel Roed’s gigatoken. Zero-copy, NEON/CRC32, WebAssembly, and Embedded Swift.

Discover Awesome Core AI Models For Any Project

Test, compare, and benchmark language models on macOS and iOS using Apple’s Foundation Models framework.

Apple Core AI (Neural Engine) vision nodes for ComfyUI — depth, detection, VLM, CLIP, on-device LLM. By SAL2.

Architecture-blind torch.export compiler prototype for exact change-aware Core AI plans, with a documented portfolio-residency limit.

On-device BLE tracker detector implementing the Apple-Google DULT spec (IETF draft-ledvina-apple-google-unwanted-trackers-02) with Core AI on-device ML inference — built with Swift, Core Bluetooth, and Apple's WWDC 2026 Core AI framework.

Pull, convert, quantize, benchmark, serve, and package open-weight LLMs for Apple Silicon (MLX → Core AI)

Reproducible Qwen3-1.7B Core AI INT4 GPU conversion, physical-device benchmarks, and W8/ANE comparison.

Source-grounded registry of Apple Core AI models, artifacts, upstreams, benchmarks, and provenance.