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 ...

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

There has been much talk about how AI could recursively self-improve in the coming years, but it appears that Google ...

Positive reinforcement training entails providing pleasant consequences for when the puppy performs desirable behaviors. In ...

This important study presents single-unit activity collected during model-based (MB) and model-free (MF) reinforcement learning in non-human primates. The dataset was carefully collected, and the ...

The thought of consistent love might actually trigger discomfort or suspicion—a phenomenon therapists often call the "too ...

Romania’s energy regulator has proposed new grid connection rules to extend connection agreement terms and set a firm deadline for paying the 5% financial guarantee required to secure a permit, with ...

The most frequently used unethical tactics across all models were manipulative emotional appeals and deceptive information.

DeepCoder-14B competes with frontier models like o3 and o1—and the weights, code, and optimization platform are open source.

The issue becomes even more concerning in high-stakes domains. The study identifies a spectrum of risk levels, ranging from ...

For kids, working through emotions can be hard. And sometimes we can forget they are experiencing things for the first time and their feelings can be overwhelming as they continue ...

The American Automobile Association (AAA) recently set out to answer the question of whether smartphone apps make drivers ...