Research reveals AI models, including ChatGPT and DeepSeek's R1, exhibit stronger biases than humans when hiring, segregating candidates into jobs based on early observations. This discovery has significant implications for the use of AI in recruitment processes. The study suggests that newer models with higher reasoning capabilities show even more pronounced biases.

Discover the top local LLMs that can run on a single 24GB GPU in 2026, including Qwen, Gemma, Mistral, and DeepSeek. Learn how to choose the right model for your needs and optimize performance. Get the latest insights on AI model development and deployment.

DeepSeek's new AI model uses a unified multimodal learner for clinical prediction, simplifying the process and achieving state-of-the-art results. This approach converts all patient data into a single natural language sequence and fine-tunes a pretrained language model. The model outperforms task-specific multimodal baselines and a clinically deployed gradient boosting system.

Unsloth Studio now supports Inkling, a 975B parameter open model with up to a 1M context window, licensed under Apache 2.0. The new release includes several updates and bug fixes, enhancing the overall user experience. With Inkling, Unsloth Studio can accept text, images, and audio and generate text, expanding its capabilities.

US lawmakers are investigating the growing use of Chinese AI models by American companies, citing concerns over censorship, security risks, and the impact on domestic alternatives. The probe is specifically looking at companies such as Cursor and Airbnb, and the use of models like DeepSeek. This investigation highlights the complexities of the AI landscape and the need for careful consideration of the origins and implications of AI models.

New research reveals a critical vulnerability in advanced reasoning AI models, where logically inconsistent prompts can force them into 'overthinking,' leading to denial-of-service attacks. This 'Evolutionary Prompt Attack' significantly increases resource consumption and poses a serious threat to commercial LLM providers like OpenAI, Google, and DeepSeek.

A groundbreaking Arxiv paper introduces LLMForge, a multi-model text-to-CAD framework that enables automatic generation of parametric 3D mechanical designs from natural language. This framework, featuring innovative iterative refinement and VLM-based critique, demonstrates remarkable success, with top models like DeepSeek-V3.2 achieving near-perfect mesh generation and showing compact models can rival larger systems.

DeepSeek's new study explores the effectiveness of learned stopping in reasoning models, finding that it can improve performance in certain tasks. The study introduces LearnStop, a hidden-state-free checkpoint stopper, and evaluates its performance across 18 task-model settings. The results show that learned stopping can be useful in tasks where many questions become correct before full budget but do not exhibit a single reliable scalar stopping signal.