A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.
Tech Xplore on MSN
Foundation AI models trained on physics, not words, are driving scientific discovery
While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...
News Medical on MSN
Gut problems may shape Parkinson’s disease progression through the gut-brain axis
By Vijay Kumar Malesu Digestive symptoms often appear years before tremor in Parkinson’s disease, and growing evidence ...
A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.
Moonshot AI’s Kimi K2.5 Reddit AMA revealed why the powerful open-weight model is hard to run, plus new details on agent ...
2don MSN
Anthropic Is at War With Itself
The AI company shouting about AI’s dangers can’t quite bring itself to slow down.
Aiomics announces the integration of a Hybrid GraphRAG engine into its clinical platform. By anchoring artificial ...
Pope Leo XIV has told the Vatican doctrine office to uphold truth, justice and charity when deciding clergy sex abuse cases ...
Perel, a renowned psychotherapist, doesn’t really think society can — or should — fall in love with a machine.
The Brighterside of News on MSN
AI systems learn better when trained with inner speech like humans
Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word. New research suggests that this habit may also help machines learn more like you ...
In special education in the U.S., funding is scarce and personnel shortages are pervasive, leaving many school districts struggling to hire qualified and willing practitioners. Amid these ...
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