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This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation Framework for Efficient Large Language Model Inference

Large language models (LLMs), with billions of parameters, power many AI-driven services across industries. However...

Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners

arXiv:2509.26226v2 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Reward (RLVR) effectively solves complex tasks...

Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving

arXiv:2501.02348v2 Announce Type: replace Abstract: Complex problem-solving requires cognitive flexibility–the capacity to entertain multiple perspectives...

Thinking Machines Launches Tinker: A Low-Level Training API that Abstracts Distributed LLM Fine-Tuning without Hiding the Knobs

Thinking Machines has released Tinker, a Python API that lets researchers and engineers write training...

Thinking Broad, Acting Fast: Latent Reasoning Distillation from Multi-Perspective Chain-of-Thought for E-Commerce Relevance

arXiv:2601.21611v1 Announce Type: cross Abstract: Effective relevance modeling is crucial for e-commerce search, as it...

These startups are chasing the next big thing in LLMs

MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you...

These new solid-state ACs promise a cool future. Scientists aren’t so sure.

After three years of record-­breaking heat, this one is set to be yet another scorcher...

There’s a lot of hype around perimenopause. Don’t buy it.

Perimenopause has entered the chat. Perimenopause—and its better-known relative, menopause—used to be considered taboo. Not...

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