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  • Hacking the JavaScript Lottery

    January 2016 boasted a Powerball jackpot of 1.5 billion dollars. This generated a lot of interest in the lottery and the Los Angeles Times released a simulator where you start with 100 dollars and play until that is gone. I had seen previous work for predicting Java’s Math.random() and thought it would be a fun project to replicate for the browser. The first step is to find the algorithm used in t

      Hacking the JavaScript Lottery
    • GPT in 60 Lines of NumPy | Jay Mody

      January 30, 2023 In this post, we'll implement a GPT from scratch in just 60 lines of numpy. We'll then load the trained GPT-2 model weights released by OpenAI into our implementation and generate some text. Note: This post assumes familiarity with Python, NumPy, and some basic experience with neural networks. This implementation is for educational purposes, so it's missing lots of features/improv

      • Taming Floating-Point Sums | orlp.net

        Suppose you have an array of floating-point numbers, and wish to sum them. You might naively think you can simply add them, e.g. in Rust: fn naive_sum(arr: &[f32]) -> f32 { let mut out = 0.0; for x in arr { out += *x; } out } This however can easily result in an arbitrarily large accumulated error. Let’s try it out: naive_sum(&vec![1.0; 1_000_000]) = 1000000.0 naive_sum(&vec![1.0; 10_000_000]) = 1

        • 0.8.0 Release Notes ⚡ The Zig Programming Language

          Tier 4 Support § Support for these targets is entirely experimental. If this target is provided by LLVM, LLVM may have the target as an experimental target, which means that you need to use Zig-provided binaries for the target to be available, or build LLVM from source with special configure flags. zig targets will display the target if it is available. This target may be considered deprecated by

          • 0.10.0 Release Notes ⚡ The Zig Programming Language

            Tier 4 Support § Support for these targets is entirely experimental. If this target is provided by LLVM, LLVM may have the target as an experimental target, which means that you need to use Zig-provided binaries for the target to be available, or build LLVM from source with special configure flags. zig targets will display the target if it is available. This target may be considered deprecated by

            • Fantastic Learning Resources

              Fantastic Learning Resources Aug 6, 2023 People sometimes ask me: “Alex, how do I learn X?”. This article is a compilation of advice I usually give. This is “things that worked for me” rather than “the most awesome things on earth”. I do consider every item on the list to be fantastic though, and I am forever grateful to people putting these resources together. Learning to Code I don’t think I hav

              • What's New in Emacs 28.1?

                Try Mastering Emacs for free! Are you struggling with the basics? Have you mastered movement and editing yet? When you have read Mastering Emacs you will understand Emacs. It’s that time again: there’s a new major version of Emacs and, with it, a treasure trove of new features and changes. Notable features include the formal inclusion of native compilation, a technique that will greatly speed up y

                • RWKV-World-V2をPythonから日本語で操作する|shi3z

                  RKWV-World-V2の出来があまりにも良いのでPythonで使う方法をメモっておきます。 基本的にこのGradioの内容をいつものLLMベンチマークの形式にしただけ import os, gc, copy, torch from datetime import datetime from huggingface_hub import hf_hub_download from pynvml import * ctx_limit = 2000 title = "RWKV-5-World-1B5-v2-20231025-ctx4096" os.environ["RWKV_JIT_ON"] = '1' os.environ["RWKV_CUDA_ON"] = '1' # if '1' then use CUDA kernel for seq mode (much faster) from r

                    RWKV-World-V2をPythonから日本語で操作する|shi3z
                  • Practical SQL for Data Analysis

                    Pandas is a very popular tool for data analysis. It comes built-in with many useful features, it's battle tested and widely accepted. However, pandas is not always the best tool for the job. SQL databases have been around since the 1970s. Some of the smartest people in the world worked on making it easy to slice, dice, fetch and manipulate data quickly and efficiently. SQL databases have come such

                      Practical SQL for Data Analysis
                    • A from-scratch tour of Bitcoin in Python

                      I find blockchain fascinating because it extends open source software development to open source + state. This seems to be a genuine/exciting innovation in computing paradigms; We don’t just get to share code, we get to share a running computer, and anyone anywhere can use it in an open and permissionless manner. The seeds of this revolution arguably began with Bitcoin, so I became curious to dril

                      • Interprocedural Sparse Conditional Type Propagation

                        It’s 11 o’clock. Do you know where your variables are pointing? def shout(obj) obj.to_s + "!" end It’s hard to tell just looking at the code what type obj is. We assume it has a to_s method, but many classes define methods named to_s. Which to_s method are we calling? What is the return type of shout? If to_s doesn’t return a String, it’s really hard to say. Adding type annotations would help… a l

                          Interprocedural Sparse Conditional Type Propagation
                        • GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI

                          ComfyUI-Gemini_Flash_2.0_Exp (⭐+172): A ComfyUI custom node that integrates Google's Gemini Flash 2.0 Experimental model, enabling multimodal analysis of text, images, video frames, and audio directly within ComfyUI workflows. ComfyUI-ACE_Plus (⭐+115): Custom nodes for various visual generation and editing tasks using ACE_Plus FFT Model. ComfyUI-Manager (⭐+113): ComfyUI-Manager itself is also a cu

                            GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI
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