The government reportedly agreed to those terms, according to the New York Times, but the contract's legal language provided too much wiggle room for Anthropic’s comfort. Anthropic is known for taking a more cautious approach to AI development, and its founders famously left OpenAI over AI safety concerns.
At first glance, the benchmarks and their construction looked good (i.e. no cheating) and are much faster than working with UMAP in Python. To further test, I asked the agents to implement additional different useful machine learning algorithms such as HDBSCAN as individual projects, with each repo starting with this 8 prompt plan in sequence:
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