The next breakthrough in AI might come from… tiny models.
Yes. Tiny. Like “pocket-sized brain cells” tiny.
They’re called Tiny Recursive Models (TRMs), and they refuse to play the “bigger is better” game. While giant LLMs flex their billions of parameters, TRMs sit quietly… and think. In loops. Over and over.🔁
Why does that matter? Because TRMs can update their own answers recursively, fixing mistakes as they go. Unlike today’s LLMs, which generate text token by token (where one misstep can throw off the whole vibe), TRMs loop through their answers, refining and improving them as they go.
The result? Smarter, leaner, and extremely compute-efficient. A little smug. Honestly? Respect.
Maybe the future of AI isn’t “bigger is better”… Maybe it’s “smarter is smaller. And more efficient too.”
So tell us:
If small, loop-thinking models can outplay the giants in some specific tasks… are we witnessing the rise of intelligent minimalism alongside today’s large models?
