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Harvard University's AutoScientists proposes a decentralized multi-agent team approach, allowing multiple agents to share experimental status, automatically form teams, and review research plans, significantly outperforming existing methods on multiple benchmarks.
A Harvard graduation speaker delivers a sharply worded, satirical speech attacking AI, calling on graduates to 'destroy AI' in a Terminator 2-inspired mission, drawing cheers from the audience.
Harvard CS50 has released a free 65-minute masterclass on Git and GitHub, highlighting the importance of version control for managing AI-generated code in production environments.
Andrew Ng criticizes Harvard University's decision to cap A grades at 20% of undergraduates, arguing that the role of education should be to help all students succeed rather than to limit success or serve as a gatekeeper. He shares his philosophy from DeepLearning.AI and online courses of encouraging unlimited retries and practice-focused assignments.
Andrew Ng discusses Harvard's decision to cap A grades, arguing against grade inflation as a reason to limit student success and advocating for educational systems that help all students learn and succeed.
Harvard's CS50 team released a 65-minute masterclass on Git and GitHub, emphasizing version control as essential for modern developers and addressing common pitfalls like merge conflicts.
A Harvard Crimson survey of 303 undergraduates reveals that nearly two-thirds use ChatGPT, students complete on average 34.5% of homework with AI, and usage varies by field while perceptions of AI's impact on job prospects are mixed.
A paper from Stanford and Harvard researchers argues that agentic AI systems fail in real-world deployment not because they lack intelligence, but due to fundamental issues that cause demo performance to collapse in practice.