Chinese AI company DeepSeek has shown it can improve the reasoning of its LLM DeepSeek-R1 through trial-and-error based reinforcement learning, and even be made to ...

DeepSeek-R1 uses reinforcement learning to teach reasoning, showing potential for AI to develop intelligence without human examples.

It’s a chaotic – but functional – solution to the problem. Advertisement Article continues below this ad Children have a penchant for unconventional thinking that, at first glance, can look disordered ...

DeepSeek found that it could improve the reasoning and outputs of its model simply by incentivizing it to perform a trial-and-error process until it gets the right answer. In an article accompanying ...

Why your phone charges quickly one day but slowly the next, or why electric cars still take an hour or more to charge, is a ...

For an AI scientist to claim its own discovery, the research would need to be performed “fully or highly autonomously”, ...

Short-term memory is finite and fills up quickly. Here are 7 ways we can free up space for clearer-headed mathematical ...

Tests of large language models reveal that they can behave in deceptive and potentially harmful ways. What does this mean for ...

Viking offers asymmetric upside in GLP-1 drugs with positive trial data, strong cash, and buyout potential despite biotech ...

Even techno optimists acknowledge that the skills children will need are evolving faster than schools can, and that the most ...

The group was passionately vegan, mostly transgender and highly educated. Seven of them are now in jail. This is the story of ...

This theory was the brainchild of Francis Crick (yes, the one who helped identify DNA) and Leslie Orgel, the originator of ...