Tag: open-source
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Mira Murati Just Released a Trillion-Parameter Open Model
Mira Murati left OpenAI to start Thinking Machines. This week, the company released Inkling, a one-trillion-parameter open-weights multimodal model trained on forty-five trillion tokens, and uploaded it to Hugging Face under an Apache 2.0 license. Open means anyone can download it, fine-tune it, run it on their own hardware. Multimodal means it speaks text, understands…
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The Open Model Bet Got Bigger
Thinking Machines Lab, the research group founded by Mira Murati after she left OpenAI, just released Inkling. It is a 975 billion-parameter open-weights model that you can download, run, and modify yourself. The architecture is sparse. Only 41 billion parameters activate per token, which means it runs fast and cheap despite the enormous size. The…
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Meta’s Llama 4 Just Broke Open the Model Frontier
Meta just shipped Llama 4, and it changes the game for open-source AI. The headline: two new models, Scout and Maverick. Both are multimodal from the ground up. Scout hits 10 million tokens of context. Maverick goes even deeper with a mixture-of-experts design that can process 1 million tokens while keeping 400 billion parameters in…
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OpenAI Just Turned AI Into a Vulnerability Hunter
OpenAI launched Patch the Planet. Using GPT-5.5-Cyber, they are hunting for security vulnerabilities in major open-source projects. Real vulnerabilities. Real fixes. Real impact. They are already in cURL. In Python. In the Linux kernel. The AI finds the hole, OpenAI’s security team verifies it is real, and then they work with the maintainers to fix…
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Open Source Just Won the Download Race
Something shifted in June 2026. The open-source models started winning. DeepSeek V4.1 Flash is the trending model on Hugging Face right now. Qwen is up there. Llama. Gemma. Chinese models hold five of the top ten download slots, the highest concentration on the record. One week after the frontier wave dropped, open-weight models are not…
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Open-Weight Models Just Caught Up to Proprietary Ones
MiniMax released M3 on June 1, 2026, and it’s the moment open-weight models stopped being a tier below. It’s frontier coding performance. It’s a million-token context window. It’s native multimodal. And it’s available right now. The technical piece: sparse attention. Instead of calculating attention scores across every token pair, M3 calculates only the relevant segments.…