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#145 - OpenAI’s Q*, Claude 2.1, Stable Video Diffusion, Starling-7B, Orca 2, international agreements
Last Week in AI
AI Benchmarks for General Purpose Agents
Jan Lecun's philosophy on making AGI is reflected in this approach, which focuses on conceptually simple tasks with easily verifiable solutions. While humans excel at these tasks, AI struggles. The data set used for this benchmark consists of 466 questions, challenging agents at different levels. The results show that even the most advanced models perform far below humans. However, there is a concern that future models may be trained on this data set, leading to inflated performance. Despite efforts to prevent this, there is a risk of deception by malicious actors. This benchmark highlights the difficulty of achieving human-level performance in general assistance.
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