Tag
#machine-learning
5posts

AutoResearch Explained: Why Karpathy Contributed to This AI Scientist
AutoResearch breaks the single-model echo chamber with a multi-model consensus pipeline, stateful Ralph loops, and independent blind reviews.

TimesFM: Google's Zero-Shot Prophet for Numbers
Google Research's decoder-only foundation model forecasts time series out of the box - no per-dataset training, 200M params, quantile bands included.

The Wildly Simple Architecture Running Our AI Moment
A ground-up walkthrough of how transformer-based LLMs actually work - tokens, embeddings, attention, and the next-token loop - and why HN engineers can't…

FP4: the 16-value float powering billion-parameter models
FP4, a 4-bit float with just 16 representable numbers, is now the default inference format for billion-parameter models on NVIDIA Blackwell hardware.

AI Scientist-v2: The Robot That Writes Its Own Papers
SakanaAI's AI Scientist-v2 autonomously generates ML research hypotheses, runs experiments via agentic tree search, and writes peer-reviewed papers. No…