Open-source models like Mistral, LLaMA, and Qwen are gaining ground fast and communities are building powerful tools on top of them.
Meanwhile big tech players continue to dominate with closed models trained on massive private datasets.
So, what’s next?
- Will open-source innovation outpace closed models?
- Can the community-driven approach ensure more transparency and safety?
- Or will compute and scale still give closed models the edge?
Let’s talk:
Do you think the future of AI belongs to open labs or closed doors?
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