AI reasoning has just taken a massive leap forward—without the need for billion-dollar labs. Meet OpenThinker 32B, an open-source model that rivals industry giants despite using only 14% of the training data. Meanwhile, Huginn 3.5B is rewriting AI logic with a groundbreaking "hidden loop" reasoning method.
In this video, we break down how these models are changing the game:
- OpenThinker 32B: Outperforming larger models with smarter training techniques
- Huginn 3.5B: A revolutionary approach to AI reasoning using latent loops
- Why efficient AI design is replacing brute-force training
Can open-source AI truly compete with the biggest names in artificial intelligence? Let me know your thoughts in the comments.
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