As luck would have it, I was watching a news show and the subject came up about AI hallucinations and the medical industry. I’m not sure why I hadn’t thought of the impact AI was having on medical professionals, but they too are using AI. https://pmc.ncbi.nlm.nih.gov/articles/PMC10552880/

An open source model that compares to Open AI's o1 reasoning model on several benchmarks. The research paper: DeepSeek_R1.pdf. https://github.com/deepseek-ai/DeepSeek-R1 """ We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors. However, DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing. To address these issues and further enhance reasoning performance, we introduce DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks. To support the research community, we have open-sourced DeepSeek-R1-Zero, DeepSeek-R1, and six dense models distilled from DeepSeek-R1 based on Llama and Qwen. DeepSeek-R1-Distill-Qwen-32B outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models. """