Sundberg, who by his own admission has spent much of his career making "massive" games and sounds a bit worn out by it all, says his studio set out to make a bloat-free experience for "fans of gritty ‘90s action flicks," which will be music to the ears of anyone who likes blasting through a game in a handful of weekends. For more on gameplay, check out this recent developer diary focused on combat and driving sections.
Can these agent-benchmaxxed implementations actually beat the existing machine learning algorithm libraries, despite those libraries already being written in a low-level language such as C/C++/Fortran? Here are the results on my personal MacBook Pro comparing the CPU benchmarks of the Rust implementations of various computationally intensive ML algorithms to their respective popular implementations, where the agentic Rust results are within similarity tolerance with the battle-tested implementations and Python packages are compared against the Python bindings of the agent-coded Rust packages:
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