Spread the loveIn an increasingly interconnected world, simply memorizing facts isn’t enough. Our children need more than rote learning; they need to understand complex global issues, think critically ...

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.

Perplexity has announced a major new feature coming soon to Perplexity Computer: the ability to split tasks between local and cloud models. Perplexity Computer is the company’s agentic system for ...

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,” ...

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 ...

Artificial intelligence works when computers learn from data that is readily available. But there is no data to teach robots to do simple human tasks. It needs to be created. That's what MIT graduates ...

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 ...

For teachers and students, the three months of January, February, and March can feel more like three years. By the time spring break arrives, both students and teachers are running on fumes and ...

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 ...