Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.

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On Tuesday, Nature released two papers describing AI systems intended to help scientists develop and test hypotheses. One, Google’s Co-Scientist, is designed as what they term “scientist in the loop,” ...

From live speech translation in video calls to auto-dubbing on TikTok, the technology to dissolve language barriers has arrived. Real-time translation powered by artificial intelligence (AI) is now ...

AI automation typically requires task-level fixed costs, such as model training or fine-tuning. We develop a quantitative task-based framework in which automation depends jointly on relative marginal ...

Task-Based Language Teaching and Learning (TBLT) is a communicative approach that positions authentic language tasks as the central unit of instruction. Originating from the communicative language ...

Learning a language is a great way to expand your horizons and connect with more people around the world. In-person classes and tutoring are still an essential part of picking up the skills you need ...

Google introduced new features for Search that continues its evolution into a more task-oriented tool, enabling users to launch AI agents directly from AI Mode and complete more tasks. This is a trend ...

Last September roboticist Benjie Holson of Robust AI posted on Substack the “Humanoid Olympic Games”: a set of increasingly difficult tests for humanoid robots he demonstrated himself while dressed in ...

There’s a common assumption that if someone starts learning a language when they are very young, they will quickly become fluent. Many people also assume that it will become much harder to learn a ...

Abstract: In this paper, we propose a general digital twin edge computing network comprising multiple vehicles and a server. Each vehicle generates multiple computing tasks within a time slot, leading ...