open source AI
AI & Automation
Small Language Models: Open-Source SLMs Cut Enterprise AI Costs by 75% in 2026
⚡ Key Takeaways Open-source small language models under 14 billion parameters are delivering 75% cost reductions compared to frontier LLM...
AI & Automation
DeepSeek V4 Pro: 1.6 Trillion Parameters and the New Open-Source Frontier Race
⚡ Key Takeaways DeepSeek V4 Pro (previewed April 24, 2026) is the largest open-weight model ever released — 1.6 trillion...
AI & Automation
DeepSeek V4 Preview: Open-Source Reaches the 1M-Context Frontier
⚡ Key Takeaways DeepSeek released a preview of V4-Pro (1.6T total / 49B active params) and V4-Flash (284B / 13B...
AI & Automation
GLM-5.1: The First Open-Source Model to Top SWE-Bench Pro — No NVIDIA Required
⚡ Key Takeaways Z.ai’s GLM-5.1, released April 7, 2026, scored 58.4 on SWE-Bench Pro — beating GPT-5.4 (57.7), Claude Opus...
AI & Automation
Meta Llama 4 Maverick: 400B Parameters, 1M-Token Context, and Open Weights
Meta Llama 4 Maverick ships 400B total params, 1M token context, and a sibling Scout model at 10M context. What it means for enterprises.
AI & Automation
Latam-GPT: How Chile Built Latin America’s First Sovereign AI Model
Chile's CENIA launched Latam-GPT, a Llama 3.1-based open model trained on 300B+ tokens of Latin American data for $550K. What it means for the Global South.
Startups
Open Source AI Business Models: How Mistral, Together AI, and Others Make Money
The Open Source Paradox You spend two years and $30 million training a frontier language model. You release it on Hugging Face.
Policy & Regulation
Open Source AI: The Policy Battle That Will Define the Next Decade of Technology
When Meta released Llama 3 in April 2024 with open weights — making the model's parameters freely downloadable by anyone — it ignited one of the most significant policy debates in AI history. When DeepSeek followed with R1 in January 2025, demonstrating that Chinese
