lora
Macaron froze a 744B base and bolted four specialists on top News
Mind Lab released open weights for Macaron-V1, a continual-learning system that never touches its base model and instead composes small specialist adapters on top, picking exactly one per user turn.
This method compiles plain English into a tiny model that rivals a 32B giant News
A new paper, Program-as-Weights, uses a 4B compiler to turn natural-language specs into small neural adapters that let a 0.6B model match a 32B model on fuzzy tasks, running at about 30 tokens per second on a laptop.
Fine-tuning and LoRA: teaching an old model a new job without retraining it Lesson
You almost never train an AI from scratch. You take one that already knows language and nudge it toward your specific task - and a trick called LoRA lets you do that by adding a tiny sticky note instead of rewriting the whole brain.
Macaron-V1 Tool
Open weights for a model family that freezes its base and composes specialist LoRA adapters on top, picking one per user turn. The 744B Venti flagship carries chat, agent, coding and generative-UI specialists; the 50B Tall variant runs the same design on local hardware.