Article InformationAuthor, 謝全恩（Osmond Chia）,
While many randomized video game loot boxes have drawn attention and regulation from various government bodies in recent years, the New York suit calls out Valve's system specifically for "enabl[ing] users to sell the virtual items they have won, either through its own virtual marketplace, the Steam Community Market, or through third-party marketplaces." The vast majority of Valve's in-game loot boxes contain skins that can only be resold for a few cents, the suit notes, while the rarest skins can be worth thousands of dollars through marketplaces on and off of Steam. That fits the statutory definition of gambling as "charging an individual for a chance to win something of value based on luck alone," according to the suit.
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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: