Why adaptive performance, emotional competence and behavioral agility are becoming essential for long-term leadership effectiveness.

Abstract: Chain-of-thought distillation (CoT-distillation) aims to endow small language models (SLMs) with reasoning ability to improve their performance toward specific tasks by allowing them to ...

Education stakeholders have underscored the need for adaptive thinking while promoting innovation and practical learning. They noted that in today’s fast-changing world, education must evolve beyond ...

According to @bcherny on X, Opus 4.7 replaces fixed thinking budgets with adaptive thinking and introduces adjustable effort levels to trade off speed and token usage against reasoning depth and ...

According to @openclaw, the OpenClaw 2026.3.1 release adds OpenAI WebSocket streaming for low-latency token delivery, Claude 4.6 adaptive thinking for improved multi-step reasoning, enhanced Docker ...

Anthropic’s Claude Sonnet 4.6 introduces advancements in AI functionality, including improved adaptive reasoning and enhanced context retention. According to Sam Witteveen, these updates come with a ...

Adaptive thinking is the mindset that makes transformation possible. It’s the ability to navigate complexity, absorb change without breaking, and see beyond the immediate to shape what comes next.

Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a Nobel Prize winner” in such fields as biology, math, engineering, and ...

Absolutaris Base, the intelligent wealth management platform, has officially announced its entry into the U.S. market, marking a major milestone in its global expansion strategy. At the heart of this ...

AI systems have seen great advancement in recent years in many applications that pervade our everyday life. While these successes can be accredited to improved algorithms and techniques, they are also ...

Abstract: Adaptive control policies for robots often require balancing generalization from large offline datasets with efficient adaptation to specific deployment conditions. In this paper, we propose ...