Stable-DiffCoder is a code-focused diffusion language model that learns to write and edit programs by filling in masked pieces, not just predicting the next token.
X-Coder shows that models can learn expert-level competitive programming using data that is 100% synthetic—no real contest problems needed.
INTELLECT-3 is a 106B-parameter Mixture-of-Experts model (about 12B active per token) trained with large-scale reinforcement learning and it beats many bigger models on math, coding, science, and reasoning tests.