My brain broke when I read this paper. A tiny 7 Million parameter model just beat DeepSeek-R1, Gemini 2.5 pro, and o3-mini at reasoning on both ARG-AGI 1 and ARC-AGI 2. It's called Tiny Recursive Model (TRM) from Samsung. How can a model 10,000x smaller be smarter? Here's how…
The ARC foundation just released the results for GPT-5-pro. It blows o3-pro out of the water. GPT-5-pro is cheaper and smarter - Price per task: $7.14 vs $7.55 - Score: 18.3 vs 4.9 That is what delivering value looks like. Congrats OpenAI.
@NVIDIAAI just dropped LLMs that run 53x faster. Cut your inference costs by as much as 98%. You can download them *today* on @huggingface. Tech breakdown and links below
NVIDIA research just made LLMs 53x faster. 🤯 Imagine slashing your AI inference budget by 98%. This breakthrough doesn't require training a new model from scratch; it upgrades your existing ones for hyper-speed while matching or beating SOTA accuracy. Here's how it works:…
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