Undercut closed source rivals, get organic distribution and free 3P integrations. Why wouldn’t they lean into open source? Best way for China to enter the western market.
OPEN SOURCE
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Open-Source Investment Generates 2000x Return for Companies
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Great research on open-source by @Harvard:
– $4.15B invested in open-source generates $8.8T of value for companies (aka $1 invested in open-source = $2,000 of value created)
– Companies would need to spend 3.5 times more on software than they currently do if OSS did not exist I -
Open-source: $1 invested creates $2000 value
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Open-source is the strongest multiplier force for speed of progress, value creation and competitiveness. $1 invested in open-source creates $2,000 of value for companies!
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RWKV-7 Goose: State-of-the-art Multilingual Language Model
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RWKV-7 "Goose" with Expressive Dynamic State Evolution RWKV-7 "Goose" is a sequence modeling architecture that achieves state-of-the-art multilingual performance with 3 billion parameters. Despite training on fewer tokens than other top models, it excels in both English and
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Top 10 Foundation Model Papers: Humanoid Robots and Multimodal LLMs
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This week was huge for foundation models, from generalist humanoid robots to multimodal LLMs that learn from human preferences and negative examples – here are the top 10 papers for the week – DAPO: An Open-Source LLM Reinforcement Learning System at Scale
– GR00T N1: An -
Kernels vs Full Implementation Code Discussion
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Yes, but that's just the kernels, not the full code that uses the kernels.
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Top Resources: Qwen QwQ, Mistral Saba, Hackathons, Batch Processing
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ICYMI, here are some of our top resources from the past few weeks. A Guide to Reasoning with Qwen QwQ 32B
Mistral Saba Added to GroqCloud Model Suite
Guide: How to Win Hackathons with Groq
Build Fast with WLTS
Batch Processing with GroqCloud for AI Inference Workloads
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Get Started with Gemma LLM Documentation
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Get started here: https://
gemma-llm.readthedocs.io/en/latest/ -
Gemma 3: Open-Source Python Library for Fine-Tuning LLMs
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Python library to fine-tune Gemma 3! Gemma is a minimal library for using and fine-tuning Gemma. Includes docs on fine-tuning, sharding, LoRA, PEFT, multimodality and tokenization in LLMs. 100% open-source.
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Open Source AI Wins Over Proprietary Models on Price Performance
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The biggest revelation from Deepseek is that Open Source has won. For a 1% difference in performance, it will be difficult for OpenAI to justify its price when the competition is free and formidable. -from my interview with Bloomberg pic.twitter.com/7DiaMZ5GWw
— Kai-Fu Lee (@kaifulee) 22 mars 2025The biggest revelation from Deepseek is that Open Source has won. For a 1% difference in performance, it will be difficult for OpenAI to justify its price when the competition is free and formidable. -from my interview with Bloomberg