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Somebody give Andrej some H100s already

**OpenAI**'s GPT-2 sparked controversy five years ago for being "too dangerous to release." Now, with **FineWeb** and **llm.c**, a tiny GPT-2 model can be trained in **90 minutes** for **$20** using **8xA100** GPUs, with the full 1.6B model estimated to take **1 week** and **$2.5k**. The project is notable for its heavy use of **CUDA** (75.8%) aiming to simplify the training stack. Meanwhile, a Twitter debate between **Yann LeCun** and **Elon Musk** highlighted the importance of **convolutional neural networks (CNNs)** in real-time image processing for autonomous driving, with LeCun emphasizing scientific research's role in technological progress. LeCun also criticized AI doomsday scenarios, arguing for cautious optimism about AI safety and regulation.
Read original at AINews / smol.ai →