Change Happening Faster Than Ever? Yes, It Is • AI User + Usage + CapEx Growth = Unprecedented • AI Model Compute Costs High / Rising + Inference Costs Per Token Falling = Performance Converging + Developer 2/24 2/25 4/25 75% 60% 10% 21% 15% 0% Details on Page 293 USA – LLM #1 China USA – LLM #2 AI Model Compute Costs High / Rising + Inference Costs Per Token Falling = Performance Converging + Developer Change Happening Faster Than Ever? Yes, It Is • AI User + Usage + CapEx Growth = Unprecedented • AI Model Compute Costs High / Rising + Inference Costs Per Token Falling = Performance Converging + Developer

. . . . . . . . . . . . . . . . . . . . . . . 435 34.18 Consider StaticArrays.jl for small fixed-size vector/matrix operations . . . . . . . . . 436 34.19 Avoid string interpolation for I/O . . . . combinations of argument types, and applied by dis- patching to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" they cannot be used as rvalues) or use the last value assigned to them in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifier used as rvalue julia>

. . . . . . . . . . . . . . . . . . . . . . . 435 34.18 Consider StaticArrays.jl for small fixed-size vector/matrix operations . . . . . . . . . 436 34.19 Avoid string interpolation for I/O . . . . combinations of argument types, and applied by dis- patching to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" they cannot be used as rvalues) or use the last value assigned to them in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifier used as rvalue julia>

. . . . . . . . . . . . . . . . . . . . . . . 465 35.20 Consider StaticArrays.jl for small fixed-size vector/matrix operations . . . . . . . . . 466 35.21 Avoid string interpolation for I/O . . . . combinations of argument types, and applied by dis- patching to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" values, which are immediately discarded, and their values cannot be used in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifiers are write-only and

. . . . . . . . . . . . . . . . . . . . . . . 465 35.20 Consider StaticArrays.jl for small fixed-size vector/matrix operations . . . . . . . . . 466 35.21 Avoid string interpolation for I/O . . . . combinations of argument types, and applied by dis- patching to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" values, which are immediately discarded, and their values cannot be used in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifiers are write-only and

. . . . . . . . . . . . . . . . . . . . . . . 465 35.20 Consider StaticArrays.jl for small fixed-size vector/matrix operations . . . . . . . . . 466 35.21 Avoid string interpolation for I/O . . . . combinations of argument types, and applied by dis- patching to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" values, which are immediately discarded, and their values cannot be used in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifiers are write-only and

combinations of argument types, and applied by dis- patching to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" values, which are immediately discarded, and their values cannot be used in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifiers are write-only and internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> Sys.WORD_SIZE 64 Julia also defines the

combinations of argument types, and applied by dis- patching to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" values, which are immediately discarded, and their values cannot be used in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifiers are write-only and internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> Sys.WORD_SIZE 64 Julia also defines the

combinations of argument types, and applied by dis- patching to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" values, which are immediately discarded, and their values cannot be used in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifiers are write-only and internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> Sys.WORD_SIZE 64 Julia also defines the

combinations of argument types, and applied by dis- patching to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" values, which are immediately discarded, and their values cannot be used in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifiers are write-only and internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> Sys.WORD_SIZE 64 Julia also defines the