Tech Logic

How Large Language Models Reshape Scientific Method: Exploration from Hypothesis to Discovery

This paper reviews the role of large language models (LLMs) in scientific research, covering applications from hypothesis testing to discovery. The study indicates that LLMs have become technical tools in experimental design, data analysis, and workflows, but to become effective "creative engines," they need to collaborate with human scientific goals and integrate a hybrid engine combining data-driven and symbolic systems.

Oct 19, 2026

AGI/Singularity: Deep Insights from Analyzing 10,000 Predictions

This article is based on the analysis of 10,000 predictions on the AIMultiple platform, exploring various predictions regarding AGI and technological singularities, aiming to provide readers with a comprehensive and in-depth industry insight perspective.

Oct 18, 2026

Alan's Conservative Countdown for AGI: Milestones from Physical Embodiment to General Intelligence

Alan D. Thompson proposed a conservative definition of AGI, emphasizing that AGI should possess the ability to act in the physical world. He pointed out that although current LLMs have made progress in cognitive abilities, there is still a significant gap in embodiment. The article reviews the definition of AGI, the necessity of physical embodiment, and lists key technologies and model milestones in AI development up to 2026 and before.

Oct 12, 2026

Exploring the Role of Large Language Models in the Scientific Method: From Hypothesis to Discovery

Large language models (LLMs) are gradually permeating all stages of scientific research, from literature retrieval and hypothesis generation to experimental design and data analysis. Although LLMs have shown great potential in improving research productivity, their actual impact on fundamental scientific discovery remains limited. This article reviews the existing applications and future possibilities of LLMs in the scientific method, emphasizing the need to deeply integrate LLMs into the scientific process, align them with human scientific goals, and establish clear evaluation metrics.

Aug 31, 2026

Exploring the Role of Large Language Models in the Scientific Method: From Hypothesis to Discovery

The article reviews how large language models enhance various aspects of scientific research, points out their limitations in the basic sciences, and proposes aligning with human scientific goals and establishing clear evaluation metrics to deeply integrate LLMs.

Aug 30, 2026

AGI Needs World Models: Current Status and Prospects

This article reviews the discourse by DeepMind CEO Demis Hassabis on the critical role of world models in achieving AGI, and analyzes the current research status in this field, including Google Genie, Tesla FSD, Nvidia's simulation platforms, as well as the work of Yann LeCun and others.

Aug 23, 2026