Researchers at the company looked into how malicious fine-tuning makes a model go rogue, and how to turn it back. A new paper from OpenAI has shown why a little bit of bad training can make AI models ...

AI models often produce false outputs, or "hallucinations." Now OpenAI has admitted they may result from fundamental mistakes it makes when training its models.… The admission came in a paper [PDF] ...

DeepSeek says its R1 model did not learn by copying examples generated by other LLMs. R1 is designed to excel at ‘reasoning’ tasks such as mathematics and coding, and is a cheaper rival to tools ...

One of the most frustrating things about using a large language model is dealing with its tendency to confabulate information, hallucinating answers that are not supported by its training data. From a ...

A new research paper from OpenAI asks why large language models like GPT-5 and chatbots like ChatGPT still hallucinate and whether anything can be done to reduce those hallucinations. In a blog post ...

The company really wants you to know that it’s trying to make its models safer. OpenAI is once again lifting the lid (just a crack) on its safety-testing processes. Last month the company shared the ...

Scraping the open web for AI training data can have its drawbacks. On Thursday, researchers from Anthropic, the UK AI Security Institute, and the Alan Turing Institute released a preprint research ...

First peer-reviewed study shows how a Chinese start-up firm made the market-shaking LLM for US$300,000. R1 is designed to excel at ‘reasoning’ tasks such as mathematics and coding, and is a cheaper ...