AI Will Likely Do in Ten Years, per ChatGPT Source: ChatGPT (5/15/25) AI = Circa 2035?36 AI Development Trending = Unprecedented37 Machine-Learning Model* Trending = In 2015... Industry Surpassed Academia Models by Sector – 2003-2024, per Stanford HAI Annual New Notable Machine-Learning Models AI Development Trending = Unprecedented38 AI Developer Growth (NVIDIA Ecosystem as Proxy) = +6x to 6MM Developers to reach 2 million.’ Source: NVIDIA blog posts, press releases, & company overviews +6x AI Development Trending = Unprecedented Global Developers in NVIDIA Ecosystem (MM) – 2005-2025, Per NVIDIA39

allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved two-byte encodings. If this is all extremely confusing, try reading "The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets". It's an excellent

allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that Half-precision floating-point numbers are also supported (Float16), but they are implemented in software and use Float32 for calculations. julia> sizeof(Float16(4.)) 2 julia> 2*Float16(4.) Float16(8 two-byte encodings. If this is all extremely confusing, try reading "The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets". It's an excellent

allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that Half-precision floating-point numbers are also supported (Float16), but they are implemented in software and use Float32 for calculations. julia> sizeof(Float16(4.)) 2 julia> 2*Float16(4.) Float16(8 two-byte encodings. If this is all extremely confusing, try reading "The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets". It's an excellent

allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved two-byte encodings. If this is all extremely confusing, try reading "The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets". It's an excellent

allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved two-byte encodings. If this is all extremely confusing, try reading "The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets". It's an excellent

documentation for Julia 1.12-rc1. Work in progress! This documentation is for an unreleased, in-development, version of Julia. Please read the release notes to see what has changed since the last release allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved

documentation for Julia 1.12-beta4. Work in progress! This documentation is for an unreleased, in-development, version of Julia. Please read the release notes to see what has changed since the last release allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved

documentation for Julia 1.12-beta3. Work in progress! This documentation is for an unreleased, in-development, version of Julia. Please read the release notes to see what has changed since the last release allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved

documentation for Julia 1.12-beta1. Work in progress! This documentation is for an unreleased, in-development, version of Julia. Please read the release notes to see what has changed since the last release allowing Julia to take full advantage of computational resources. Additionally, Julia provides software support for Arbitrary Precision Arithmetic, which can handle operations on numeric values that instructions used on hardware which supports this number format. Otherwise, operations are implemented in software, and use Float32 for intermediate calculations. As an internal implementation detail, this is achieved