Karpathy said he was leaving OpenAI to work on personal projects and attributed the exit to no incident. His teaching materials offer a path from tokens to language-model evaluation.
Arizona state university announced an openai collaboration and a call for proposals to use chatgpt enterprise. The source bounds the event: the announcement did not automatically deploy the service to every student or demonstrate educational outcomes. The story teaches how to turn an education partnership into a hypothesis, pilot, learning measure and data-protection rule.
Unesco published guidance on generative ai in education and research. The source bounds the event: guidance does not show teachers are more productive or students learn more; those outcomes require local evaluation. The story teaches how to define pedagogical goal, task, learning evidence, human review and data protection.
Unesco published guidance on generative ai in education and research. The source bounds the event: the guidance neither predicts ChatGPT's outcome in 2024 nor demonstrates learning or productivity. The story teaches how to evaluate pedagogical goal, task, learning evidence, review and data protection.
An experiment with a thousand high school students found that those who practised with an unguarded chatbot scored 17% WORSE than those who never had one, once the help was taken away. Another, at Harvard, measured gains of up to 1.3 standard deviations with a tutor designed by teachers. The difference is not the AI: it is the design, and there is a concrete way to check it.
Curriculum learning orders training examples from easy to hard. We look at how that difficulty is measured and why the evidence is mixed: it helps with noisy data or tight budgets, but not always.
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