Turing’s ideas ultimately led to the development of reinforcement learning, a branch of artificial intelligence. Reinforcement learning designs intelligent agents by training them to maximize rewards ...

AI researchers call these yes-man antics "sycophancy," which means (like the non-AI meaning of the word) flattering users by telling them what they want to hear. Although since AI models lack ...

Researchers found that the local release of dopamine – a molecule best known for its role in the brain’s reward system – is a ...

A new agentic approach called 'streams' will let AI models learn from the experience of the environment without human ...

The reasoning systems are based on a technology called large language models, or L.L.M.s. To build reasoning systems, ...

The digital era has witnessed unprecedented technological advancements, with artificial intelligence emerging as one of the ...

Historically, each new generation of OpenAI's models has delivered incremental improvements in factual accuracy, with ...

Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where the model is provided with ...

By categorizing and filtering user input, you can better focus on driving AI improvement. This iterative process—blending automation with human review—ensures AI learns from high-quality data, leading ...

Discover how Deepseek R2 is redefining AI with self-learning and advanced evaluation systems like GRM. The future of AI ...

OpenAI’s newest reasoning models, o3 and o4‑mini, produce made‑up answers more often than the company’s earlier models, as ...