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The latest AI platform on the block breaks down its logic for you—perfect for campaign clarity and team trust. Just don't overlook the privacy fine print.

Researchers at the AI company Anthropic say they have made a fundamental breakthrough in our understanding of exactly how large language models, the type of AI responsible for the current boom, work.

Chinese tech giant Tencent on Friday night launched the official version of its T1 reasoning model, stepping up competition in China's increasingly crowded artificial intelligence sector.

DAPO is a scalable reinforcement learning algorithm that helps a large language model achieve better complex reasoning behaviour.

Anthropic's Claude Sonnet 3.7 with reasoning displayed the behavior much more often than generative AI models without reasoning, including GPT-4.5.

A hot trend is to train generative AI and LLMs by using logical reasoning exhibited by other AI. This is clever and a nifty AI hack. Here's the insider scoop.

For example, consider an AI that assists doctors in diagnosing clients. A diagnosis without any rationale is almost useless, as there is no way for the doctor to verify it and ultimately feel comfortable acting on it.

The pair tested their approach on the Abstraction and Reasoning Corpus (ARC-AGI), an unbeaten visual benchmark created in 2019 by machine learning researcher François Chollet to test AI systems' abstract reasoning skills.