In autoregressive language models, not all tokens are created equal. The first tokens in a context window shape everything that follows — from attention patterns to generation trajectory. This is why short sessions beat long ones, and why compression exists.
Peter Gostev's BullshitBench exposes a disturbing truth about LLMs: most models will confidently answer nonsensical questions instead of pushing back. Even worse, reasoning models that "think harder" tend to generate more elaborate bullshit, not less. Here's what the data reveals.
Emerging research shows that AI tools are not reducing workloads — they are intensifying them. A deep dive into how artificial intelligence amplifies workaholism, erodes boundaries, and reshapes the meaning of "enough."
A University of Michigan foundation model called Prima can read a full brain MRI and diagnose across 52 neurologic conditions in seconds — reaching up to 97.5% accuracy. Here is why this matters for patients, radiologists, and the future of medical imaging.
