Open Source Vs Closed

The Future of the Global Open-Source AI Ecosystem: From DeepSeek to AI+

China’s Moonshot releases a new open source model Kimi K2.5 and a coding agent, Google Brings Genie 3’s Interactive World-Building Prototype to AI Ultra Subscribers, and more!

Transformers.js v4: Now Available on NPM!

Cohere's Tiny Aya models support over 70 langauges

Mistral AI has agreed to buy Koyeb, a Paris-based startup that simplifies AI app deployment at scale and manages the infrastructure behind it.

The company open sourced an 8-billion-parameter LLM, Steerling-8B, trained with a new architecture designed to make its actions easily interpretable.

Mistral AI lands a partnership with Accenture, the consultant that has also recently announced partnerships with rivals OpenAI and Anthropic.

An overview of SpeciesNet, our open-source AI model that is helping people around the world protect and conserve wildlife.

Introducing Storage Buckets on the Hugging Face Hub

Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries

State of Open Source on Hugging Face: Spring 2026

Mistral Forge lets enterprises train custom AI models from scratch on their own data, challenging rivals that rely on fine-tuning and retrieval-based approaches.

AI is the defining technology of our time, quickly becoming core business infrastructure. It’s fueled by a diverse ecosystem of models: large and small, open and proprietary, generalist and specialist. This variety is essential for a future where every application will be powered by AI, every count

The model, which lets enterprises build voice agents for sales and customer engagement, puts Mistral in direct competition with the likes of ElevenLabs, Deepgram, and OpenAI.

Relatively light at just 2 billion parameters, the model is meant for use with consumer-grade GPUs for those who want to self-host it. It currently supports 14 languages.

The AI recruiting startup confirmed a security incident after an extortion hacking crew took credit for stealing data from the company's systems.

Google released Gemma 4 on April 2, 2026 under the Apache 2.0 license with no commercial restrictions. The model shares its research base with Gemini 3.1 Pro and runs on a single 80GB H100 GPU, delivering performance comparable to models roughly 20 times its size. It is the most permissively licensed Gemini-class model released to date.

After releasing its first major AI model in a year called Muse Spark, Meta now has to figure out how to turn it into a business.

The open-source AI movement has never lacked for options. Mistral, Falcon, and a growing field of open-weight models have been available to developers for years. But when Meta threw its weight behind Llama, something shifted. A company with three billion users, vast compute resources, and the credib

MiniMax has officially open-sourced MiniMax M2.7, making the model weights publicly available on Hugging Face. Originally announced on March 18, 2026, MiniMax M2.7 is the MiniMax’s most capable open-source model to date — and its first model to actively participate in its own development cycle, a me

A new paper formalizes prompt coupling — the invisible switching cost that makes your prompts inseparable from specific LLMs. Format-level dependencies cause up to 78.3pp accuracy variation. No existing tool addresses it.