LucifarGundam @lucifargundam@social.cleverlibre.org

@slash

Cowboy Bebop
FLCL
Elfen Lied
Akira
Metropolis
Witch Hunter Robin
Wolf's Rain
Ergo Proxy
Outlaw Star

Nicee.... Get laid off... Two weeks later, I secure a better paying job starting the week after that.

How's that for workforce turnaround?

@Yora

If you're on fedi- you're weird.

Feds are freaks.

@xyzzy

Punch POKÉMON TRAINER

@xyzzy
Punch POKÉMON TRAINER

@xyzzy

Punch POKÉMON TRAINER

@Yora

@Yora

Baboons will still rip you to pieces easier than most adult humans will.

@Yora

Congrats

@xyzzy

Talk to POKÉMON TRAINER

@xyzzy

Go to POKÉMON TRAINER

@hackernews@die-partei.social

A collection of pure POSIX sh alternatives to external processes.
++±++++++++++++++++++++++++++++++++++++
Table of Contents
STRINGS
Strip pattern from start of string
Strip pattern from end of string
Trim leading and trailing white-space from string
Trim all white-space from string and truncate spaces
Check if string contains a sub-string
Check if string starts with sub-string
Check if string ends with sub-string
Split a string on a delimiter
Trim quotes from a string
FILES
Parsing a key=val file.
Get the first N lines of a file
Get the number of lines in a file
Count files or directories in directory
Create an empty file
FILE PATHS
Get the directory name of a file path
Get the base-name of a file path
LOOPS
Loop over a (small) range of numbers
Loop over a variable range of numbers
Loop over the contents of a file
Loop over files and directories
VARIABLES
Name a variable based on another variable
ESCAPE SEQUENCES
Text Colors
Text Attributes
Cursor Movement
Erasing Text
PARAMETER EXPANSION
Prefix and Suffix Deletion
Length
Default Value
CONDITIONAL EXPRESSIONS
File Conditionals
Variable Conditionals
Variable Comparisons
ARITHMETIC OPERATORS
Assignment
Arithmetic
Bitwise
Logical
Miscellaneous
ARITHMETIC
Ternary Tests
Check if a number is a float
Check if a number is an integer
TRAPS
Do something on script exit
Ignore terminal interrupt (CTRL+C, SIGINT)
OBSOLETE SYNTAX
Command Substitution
INTERNAL AND ENVIRONMENT VARIABLES
Open the user's preferred text editor
Get the current working directory
Get the PID of the current shell
Get the current shell options
AFTERWORD

@hackernews@die-partei.social

High-performance inference of OpenAI's Whisper automatic speech recognition (ASR) model:

Plain C/C++ implementation without dependencies
Apple silicon first-class citizen - optimized via ARM NEON, Accelerate framework and Core ML
AVX intrinsics support for x86 architectures
VSX intrinsics support for POWER architectures
Mixed F16 / F32 precision
4-bit and 5-bit integer quantization support
Low memory usage (Flash Attention)
Zero memory allocations at runtime
Runs on the CPU
Partial GPU support for NVIDIA via cuBLAS
C-style API
+++++++++++++++++++++++++++++++++++++++++
What's Changed
Updated escape_double_quotes() Function by @tauseefmohammed2 in #776
examples : add missing #include by @pH5 in #798
Flush upon finishing inference by @tarasglek in #811
Escape quotes in csv output by @laytan in #815
C++11style by @wuyudi in #768
Optionally allow a Core ML build of Whisper to work with or without Core ML models by @Canis-UK in #812
add some tips about in the readme of the android project folder by @Zolliner in #816
whisper: Use correct seek_end when offset is used by @ThijsRay in #833
ggml : fix 32-bit ARM NEON by @ggerganov in #836
Add CUDA support via cuBLAS by @ggerganov in #834
Integer quantisation support by @ggerganov in #540

@hackernews@die-partei.social

Question One: why does digital technology feel so revolutionary?

Question Two: what impulse is making this happen?

Question Three: what if it’s not a metaphor?

There is one last question to ask. I’ll be asking it next time.
-----------------------------------------------

Based off that ^^^ I don't feel compelled to read the wall enclosed.

@hackernews@die-partei.social

For those who want a quasi-preview::::

Contents
List of figures 5
Foreword 6
I Foundations 8
1 Machine Learning 9
1.1 Learning from data . . . . . . . 10
1.2 Basis function regression . . . . 12
1.3 Under and over-fitting . . . . . 13
1.4 Categories of models . . . . . . 15
2 Efficient computation 17
2.1 GPUs, TPUs, and batches . . . . 18
2.2 Tensors . . . . . . . . . . . . . . 20
3 Training 22
3.1 Losses . . . . . . . . . . . . . . 23
3.2 Autoregressive models . . . . . 26
3.3 Gradient descent . . . . . . . . 29
3.4 Backpropagation . . . . . . . . 33
3.5 Training protocols . . . . . . . 38
3.6 Training data . . . . . . . . . . 41
II Deep models 43
4 Model components 44
4.1 The notion of layer . . . . . . . 45
4.2 Linear layers . . . . . . . . . . . 47
4.3 Activation functions . . . . . . 56
4.4 Pooling . . . . . . . . . . . . . . 59
4.5 Dropout . . . . . . . . . . . . . 62
4.6 Normalizing layers . . . . . . . 64
4.7 Skip connections . . . . . . . . 68
4.8 Attention layers . . . . . . . . . 71
4.9 Token embedding . . . . . . . . 78
4.10 Positional encoding . . . . . . . 79
5 Architectures 81
5.1 Multi-Layer Perceptrons . . . . 82
5.2 Convolutional networks . . . . 84
5.3 Attention models . . . . . . . . 91
III Applications 98
6 Prediction 99
6.1 Image denoising . . . . . . . . . 100
6.2 Image classification . . . . . . . 102
6.3 Object detection . . . . . . . . . 103
6.4 Semantic segmentation . . . . . 108
6.5 Speech recognition . . . . . . . 111
6.6 Text-image representations . . . 113
7 Synthesis 116
7.1 Text generation . . . . . . . . . 117
7.2 Image generation . . . . . . . . 119
The missing bits 122
Afterword 126
Bibliography 127
Index 134

@hackernews@die-partei.social

"As of April 13, 2023, First Republic Bank had approximately $229.1 billion in total assets and $103.9 billion in total deposits. In addition to assuming all of the deposits, JPMorgan Chase Bank, National Association, agreed to purchase substantially all of First Republic Bank’s assets."

Oof...

@hackernews@die-partei.social

"....so he abandoned his new family in favor of walking more than 600 miles on foot to reunite with his blood-kin.

While up north, he managed to establish a new home for his wife and children near his brother, even saving up a modest nest egg to bring them to Canada. This process took 11 years.

Upon returning to fetch his family, Sukanen found that not only had his love died in a flu epidemic during his absence, but their children had been separated from one another, placed in foster homes, and his old farm lay in ruin. After tracking down his only son, the two made for the Canadian border only for the boy to be rejected and sent back to his foster home."
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No communication, support or foundation for your family- you leave for over a decade- and you expect everything to be fine and dandy when you get back?

Sounds like the dad that shows up at the end of Waterboy.

@zerosouls @major
Aaaaaaaahhhhhh oOoOO oOoOO EEEEEEEEEEE eeeeerrRRRRRRRRRR BWOM BWOM BWOM