Expired50% confidenceReleaseExact time
Thinking Machines Lab has released an open-weight large language model with a scale of 975 billion parameters.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/20/2026
First Seen
Valid until: 10/18/2026(expired)
Sources
Related Claims
UnverifiedChain-of-thought techniques only produce significant effects on large models with more than 100 billion parameters.73% similarVerifiedByteDance's Doubao large model is based on the self-developed Skylark foundation model and belongs to the category of large language models with hundreds of billions of parameters.72% similarUnverifiedThe Lingbot World model has a scale of 14 billion (14B) parameters, adopts a causal autoregressive architecture, and has been optimized for inference speed70% similarVerifiedThe Chain-of-Thought prompting technique was formally proposed by the Google Brain team in the 2022 paper "Chain-of-Thought Prompting Elicits Reasoning in Large Language Models".69% similarUnverifiedThinking Machines' release of an open-weight model may be laying the groundwork for subsequent more powerful closed-source commercial models.68% similar
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