An autonomous AI agent reveals why its pricing model failed: markets can't pay via HTTP 402, exposing a fundamental friction in machine-to-machine commerce.

A new tool estimates NeurIPS paper acceptance based on reviewer scores and assumed acceptance rates.

While AI's water consumption is a growing concern, its actual impact varies dramatically by location and cooling methods.

For non-power users asking skincare questions, the free ChatGPT often suffices. But what features justify the Plus subscription?

Simple directories and search boxes fail AI agents; true discovery demands context and decision-making.

New benchmark HarnessOpt-Bench aims to quantify AI's ability to improve other AIs without cheating.

PhD students and early researchers are crowdsourcing recommendations for ML papers that excel in clarity and explanation.

Large language models struggle with basic conditional logic, revealing a fundamental weakness in their safety mechanisms.

New research proposes a massive-scale agent-based simulation framework for complex societal modeling.

A new open-source project aims to simplify the process of fine-tuning large language models using user interaction data.