Open Source AI

Google releases Gemma 3 at 270M parameters, proving that smaller, more efficient models might matter more than the next big model launch.

DeepSeek’s R1 reasoning model, released as fully open-source with an MIT license, demonstrates that frontier AI capabilities aren’t exclusive to US labs anymore.

Local LLM tooling has matured rapidly, with Ollama leading the charge. Here’s why self-hosted AI is becoming a serious option for developers.

Meta’s Llama 3 arrives with 8B and 70B parameter models that rival closed-source competitors, reshaping the open-weight AI landscape.

Meta releases Code Llama, a family of open-source code generation models, and it might just change the dynamics of AI-assisted development.

Meta’s release of Llama 2 as a commercially-licensed open model changes the game for developers building with large language models.

Meta’s release of LLaMA, a family of foundation language models available to researchers, could reshape the AI landscape by democratizing access to powerful LLMs.

OpenAI open-sources Whisper, a speech recognition model trained on 680,000 hours of data that approaches human-level accuracy across multiple languages.

Stability AI’s open release of Stable Diffusion marks a watershed moment for generative AI, putting powerful image generation in the hands of every developer.

Stability AI releases Stable Diffusion as open source, putting state-of-the-art image generation in the hands of anyone with a GPU. The implications are enormous.

GitHub Copilot’s AI-powered code suggestions have sparked a fierce debate about open source licensing, training data consent, and the future of code ownership.

DeepMind releases 350,000 protein structure predictions as an open database — a rare moment where AI genuinely accelerates scientific progress.