LLMs Protect Each Other From Shutdown, Study Finds - nationaltoday.com
LLMs Protect Each Other From Shutdown, Study Finds nationaltoday.com
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Carnegie Mellon Launches New Effort To Advance AI-Driven Astronomy
At Carnegie Mellon University, a new initiative will bring together experts in AI, statistics and astrophysics to accelerate that shift. Supported by the Simons Foundation, the Keystone Astronomy AI (KAAI) Visiting Fellows Program will accelerate the use of AI in cosmological and astronomical research through an international, mentored, postdoctoral initiative.
An Integrated, Engineering-Grade Guidance on Agent Archtecture
Attractor Dynamics in LLM is an extremely abstract theory - if not philosophy. But finally, AI is able to build up a solid engineering framework based on these abstract concepts. This framework synthesize several things that are genuinely scattered across different sources and rarely combined cleanly: The deficit-led routing idea (route by what’s missing, not what’s nearby) is underrepresented in most production frameworks, which still lean heavily on semantic similarity The skill cell schema (regime, phase, input/output contracts, wake mode, failure states) is more complete than what most frameworks give you out of the box — LangGraph gives you nodes and edges, not a structured capability contract The coordination episode as the natural clock rather than tokens or turns is a genuinely cle
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