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AGI SWE Benchmark

The TLDR
OpenAI has redefined AGI as an AI system that can independently generate $100B in profit. They've launched SWE-Lancer, a benchmark testing AI on real freelance coding tasks. While no AI has mastered the benchmark yet, OpenAI suggests superintelligence is approaching rapidly.

To date, AGI lacks a clear, unified definition, which is both an advantage and a challenge for OpenAI. On one hand, this ambiguity allows OpenAI and its competitors to potentially claim the first development of AGI, posing a significant PR risk. On the other hand, it offers OpenAI an opportunity to navigate the complex contractual obligations with Microsoft. Their partnership is set to end once AGI is achieved to prevent conflicts of interest and ensure AGI is developed independently for the benefit of humanity.

It was therefore no surprise when OpenAI launched a new definition of AGI at the end of last year, namely an AI agent that independently generates $100b in profit. 

OpenAI's newly released SWE-Lancer benchmark should be viewed in this context. It evaluates AI models on real-world freelance software development tasks, using over 1,400 tasks from the Upwork platform, totaling 1 million US dollars. Reaching the full 1 million indicates saturation of the benchmark, but no AI model has achieved this yet.

Sam Altman himself wrote in his blog that artificial superintelligence is only a few thousand days away. The published benchmark provides evidence that we are closer to superintelligence than expected!

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