Samsung’s Tiny Recursive Model (TRM) is a reminder that architecture and compute strategy can matter as much as parameter count. What’s new • 7M params, trained on ~1k examples, uses a draft → latent scratchpad → self-critique → revise loop (up to 16 cycles). • Reports 45% on ARC-AGI-1 and 8% on ARC-AGI-2, exceeding many much larger LLMs. • Code paper are public: · Blog → https://alexiajm.github.io/2025/09/29/tiny_recursive_models.html · Paper → https://arxiv.org/abs/2510.04871 · Code → https://
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Samsung just built a 7M-parameter AI that out-reasoned giants. 🤯 It’s called the Tiny Recursion Model — made by @alexiajolicoeur at Samsung Research. No massive GPUs. No billion-dollar budgets. Just pure recursion. Meanwhile 👇 🧠 @yao_shunyu ditched @anthropicai for @googledeepmind ⚙️ @retool dropped AppGen (build apps from prompts) 🤖 @taskletai by @andrewlee raised from @usv @lightspeedvp Tiny models are the new superpower. #StartupShock #AIChaos #AITwist #ModelWars #TinyButMighty #AIRevol
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