19 August 2026
Two open-source AI development tools released
- Miles, a reinforcement learning framework developed with 72 contributors over nine months, became available for training language models like Kimi K3 and DeepSeek V4.
- Mojo, a programming language for GPU computing, released version 1.0 and open-sourced its compiler under Apache 2 license after shifting away from full Python compatibility.
- Both projects moved from closed to open development, though Mojo represents a strategic pivot from its original goal of being a complete Python alternative.
Where they differ
Latent Space covered Miles, a machine learning training tool, while Simon Willison reported on Mojo, a programming language for GPU tasks. These are separate projects with no overlap.
Latent Spaceswyx & Alessio
Miles is a new open-source reinforcement learning framework developed over nine months with 72 contributors, battle-tested on models including Kimi K3 and DeepSeek V4.
Simon WillisonDaily notes and links
Mojo released version 1.0 and open sourced its compiler and toolchain under Apache 2 license, fulfilling a promise made in May 2023. The language has pivoted from aiming to be a full Python superset to being its own language optimized for GPU programming with Python-inspired syntax, relying on AI tools to help migrate code rather than full compatibility.