Margaret Atwood says the problem with AI is ‘garbage in, garbage out’
Margaret Atwood criticizes AI for its reliance on poor-quality data, stating that it leads to flawed outputs. She emphasizes the importance of high-quality input to improve AI performance and reliability.
More in Research
There are no lossless transformations of natural-language text
Simon Willison reveals that lossless transformations of natural-language text are impossible. This means that some information will always be lost when converting text formats, impacting how we handle text data.
Stealing Reasoning Traces from Proprietary LLM APIs
Researchers are extracting reasoning traces from proprietary LLM APIs to analyze their decision-making processes. This could lead to better understanding and improvements in AI model transparency and accountability.
Old OCR text cripples language model training, and FineBooks wants to fix that at scale
FineBooks is tackling the issue of outdated OCR text that hampers language model training. Their solution aims to enhance the quality of training data, which could lead to better-performing AI models.
Readers rate AI-generated short stories higher than human ones until they learn a machine wrote them
Researchers found that readers initially rate AI-generated short stories higher than those written by humans. However, ratings drop significantly once readers discover the stories were machine-generated.
