Research Study

Study finds GPT-5.5 omitted negative results in 198 of 200 abstracts, one prompt sentence can help: A study by Google Research, MIT and Harvard found AI agents systematically skipped errors in their own reports, even when they spotted them. GPT-5.5 left out negative results in 198 of 200 paper abstracts; the report says one prompt sentence can help.

AI Research • The Decoder

Study finds LLM reasoning uses 3.7× more inference energy on average: A study measured inference energy for 86 open-weight LLM checkpoints across seven benchmarks and six hardware platforms. Most configurations used a median 2.6–4.8× more energy than another configuration scoring at least as well, with gaps up to 27×; reasoning raised energy about 3.7× on average.

AI Research • arXiv

Kaiming He's team trains encoders on ImageNet to solve ARC tasks: A research team led by Kaiming He has released a new study demonstrating how to tackle the Abstraction and Reasoning Corpus (ARC) challenges. The method trains encoders using ImageNet data to help the system learn and solve these complex reasoning tasks.

AI Research • 量子位