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As an Amazon MGM Studios theatrical release, Amazon is giving Prime members access to an exclusive early screening of Project Hail Mary on March 16, 2026 at 7 p.m. local time in select theaters across the country. Tickets are now available through Fandango on a first-come, first-serve basis. Navigate to the Project Hail Mary landing page on Amazon.com and click on "buy tickets" in the bottom corner. You'll then be prompted to sign into your Amazon Prime account and redirected to Fandango to select your tickets. All early access showings will be on premium large format screens, including IMAX, Dolby Cinema, 4DX, and 70mm, so you can watch astronaut Ryland Grace's interstellar adventure in the most immersive way possible.
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This story was originally featured on Fortune.com
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: