Hacker News Top Stories with Summaries (May 24, 2023)
<style>
p {
font-size: 16px;
line-height: 1.6;
margin: 0;
padding: 10px;
}
h1 {
font-size: 24px;
font-weight: bold;
margin-top: 10px;
margin-bottom: 20px;
}
h2 {
font-size: 18px;
font-weight: bold;
margin-top: 10px;
margin-bottom: 5px;
}
ul {
padding-left: 20px;
}
li {
margin-bottom: 10px;
}
.summary {
margin-left: 20px;
margin-bottom: 20px;
}
</style>
<h1> Hacker News Top Stories</h1>
<p>Here are the top stories from Hacker News with summaries for May 24, 2023 :</p>
<div style="margin-bottom: 20px;">
<table cellpadding="0" cellspacing="0" border="0">
<tr>
<td style="padding-right: 10px;">
<div style="width: 200px; height: 100px; border-radius: 10px; overflow: hidden; background-image: url('https://substackcdn.com/image/fetch/w_1200,h_600,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F77248466-d15b-48b5-add2-912de46d4879_1032x954.png'); background-size: cover; background-position: center;">
Why the original transformer figure is wrong, and some other tidbits about LLMs
Summary: The article discusses four papers that provide a historical perspective on transformers. The first paper addresses a discrepancy in the original transformer figure, which placed layer normalization between residual blocks, unlike the official code implementation. The paper suggests that the Pre-LN approach works better, but it can result in representation collapse. The second paper, from 1991, proposes an alternative to recurrent neural networks called Fast Weight Programmers (FWP), which involves a feedforward neural network that slowly learns to program the changes of the fast weights of another neural network. The article suggests that this approach is fundamentally similar to modern transformers.
<div style="margin-bottom: 20px;">
<table cellpadding="0" cellspacing="0" border="0">
<tr>
<td style="padding-right: 10px;">
<div style="width: 200px; height: 100px; border-radius: 10px; overflow: hidden; background-image: url('https://repository-images.githubusercontent.com/546129875/fa1a1174-d0c3-4dd8-9786-a6af7459ef9f'); background-size: cover; background-position: center;">
Terminal app built over WebGPU, WebAssembly and Rust
Summary: The Rio terminal is a hardware-accelerated GPU terminal emulator powered by WebGPU, designed to run on desktops and browsers. It is built using Rust/WebGPU and can also be run on WebAssembly/WebGPU. The current development version is 0.0.4, with basic features being developed for MacOS. The release plan includes developing Rio for web browsers (WebAssembly) and Linux as a desktop application. Development for Windows and Nintendo Switch has not yet started.