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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Pokémon Red and Pokémon Blue Game Music CollectionThe Pokémon event didn't start with the big news of a new game, though. The event began with a new product celebrating the now-iconic music of the Pokémon games.
A useful mental model here is shared state versus dedicated state. Because standard containers share the host kernel, they also share its internal data structures like the TCP/IP stack, the Virtual File System caches, and the memory allocators. A vulnerability in parsing a malformed TCP packet in the kernel affects every container on that host. Stronger isolation models push this complex state up into the sandbox, exposing only simple, low-level interfaces to the host, like raw block I/O or a handful of syscalls.