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03:52, 28 февраля 2026Россия
This is just one example out of many complex core gameplay systems that live in the Towerborne backend. Over many years of building out the live-service game, these systems have been iterated on and tested repeatedly. During this time we built up a comprehensive suite of automated testing including unit, integration, and functional tests that help us pin down the exact functionality and edge cases of all these interlinking systems.
As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?