AI Shorts

Existing long-CoT reasoning models have achieved state-of-the-art performance in mathematical reasoning by generating reasoning trajectories with iterative self-verification and refinement. However, open-source long-CoT models depend only on natural language reasoning traces, making them computationally expensive and prone to errors without verification mechanisms. Although tool-aided reasoning provides greater efficiency and reliability for large-scale numerical computations through…

Introduction: The Challenge of Synthesizable Molecule Generation In modern drug discovery, generative molecular design models have greatly expanded the chemical space available to researchers, enabling rapid exploration of new compounds. Yet, a major challenge remains: many AI-generated molecules are difficult or impossible to synthesize in the laboratory, limiting their practical value in pharmaceutical and chemical development. While template-based…

The Allen Institute for Artificial Intelligence (AI2) has introduced AutoDS (Autonomous Discovery via Surprisal), a groundbreaking prototype engine for open-ended autonomous scientific discovery. Distinct from conventional AI research assistants that depend on human-defined objectives or queries, AutoDS autonomously generates, tests, and iterates on hypotheses by quantifying and seeking out “Bayesian surprise”—a principled measure of genuine…

Handling extremely long documents remains a persistent challenge for large language models (LLMs). Even with techniques such as length extrapolation and sparse attention, models often suffer from performance degradation and high computational costs. To address this, researchers from ByteDance Seed and Tsinghua University introduce MemAgent, a reinforcement learning-based memory agent designed to enable long-context processing…

Transforming Human-Computer Interaction with Generative Interfaces Recent advances in generative models are transforming the way we interact with computers, making experiences more natural, adaptive, and personalized. Early interfaces, command-line tools, and static menus were fixed and required users to adapt to the machine. Now, with the rise of LLMs and multimodal AI, users can engage…