A handful of gifted young tech people set out to save the world. For years, WIRED has been tracking each twist and turn of their alleged descent into mayhem and death.

Mathematical Large Language Models (LLMs) have demonstrated strong problem-solving capabilities, but their reasoning ability is often constrained by pattern recognition rather than true conceptual understanding. Current models are heavily based on exposure to similar proofs as part of their training, confining their extrapolation to new mathematical problems. This constraint restricts LLMs from engaging in advanced […]

The post Boosting AI Math Skills: How Counterexample-Driven Reasoning is Transforming Large Language Models appeared first on MarkTechPost.

Large language models (LLMs) use extensive computational resources to process and generate human-like text. One emerging technique to enhance reasoning capabilities in LLMs is test-time scaling, which dynamically allocates computational resources during inference. This approach aims to improve the accuracy of responses by refining the model’s reasoning process. As models like OpenAI’s o1 series introduced […]

The post This AI Paper Introduces ‘Shortest Majority Vote’: An Improved Parallel Scaling Method for Enhancing Test-Time Performance in Large Language Models appeared first on MarkTechPost.

Hypothesis validation is fundamental in scientific discovery, decision-making, and information acquisition. Whether in biology, economics, or policymaking, researchers rely on testing hypotheses to guide their conclusions. Traditionally, this process involves designing experiments, collecting data, and analyzing results to determine the validity of a hypothesis. However, the volume of generated hypotheses has increased dramatically with the […]

The post Stanford Researchers Developed POPPER: An Agentic AI Framework that Automates Hypothesis Validation with Rigorous Statistical Control, Reducing Errors and Accelerating Scientific Discovery by 10x appeared first on MarkTechPost.

Approximately 500 NIST staffers, including at least three lab directors, are expected to lose their jobs at the standards agency as part of the ongoing DOGE purge, sources tell WIRED.

Modern AI systems have made significant strides, yet many still struggle with complex reasoning tasks. Issues such as inconsistent problem-solving, limited chain-of-thought capabilities, and occasional factual inaccuracies remain. These challenges hinder practical applications in research and software development, where nuanced understanding and precision are crucial. The drive to overcome these limitations has prompted a reexamination […]

The post xAI Releases Grok 3 Beta: A Super Advanced AI Model Blending Strong Reasoning with Extensive Pretraining Knowledge appeared first on MarkTechPost.

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs integrate data inputs across modalities in a central hub that processes data in an input-type-agnostic fashion.