# assume — RSS Amplifier Recent posts from the 6 feeds in the RSS Amplifier directory that cover assume. Page: Feed: --- ## [Should I Stay or Should I Go?](https://soilandroots.substack.com/p/should-i-stay-or-should-i-go) _2026-08-11 · Brian Fisher · Soil and Roots_ How an escapist Gospel re-formed our understanding of why we’re here ## [I Have Trust Issues](https://soilandroots.substack.com/p/i-have-trust-issues) _2026-07-30 · Brian Fisher · Soil and Roots_ Why our hidden ideas of God keep us from experiencing the Good Life ## [I’m Not Mad, I’m Just Disappointed](https://soilandroots.substack.com/p/im-not-mad-im-just-disappointed) _2026-07-14 · Brian Fisher · Soil and Roots_ What happens when we assume disappointment is God’s default posture toward us ## [The Emperor Has No Clothes](https://soilandroots.substack.com/p/the-emperor-has-no-clothes) _2026-06-30 · Brian Fisher · Soil and Roots_ Why hidden ideas shape our souls, our discipleship, and the cultures we create. ## [Why It’s So Hard to Experience the Like of God](https://soilandroots.substack.com/p/why-its-so-hard-to-experience-the) _2026-06-17 · Brian Fisher · Soil and Roots_ We may mentally agree that God enjoys us, but our hearts often live from a different reality. ## [He Likes Me, He Really, Really Likes Me](https://soilandroots.substack.com/p/he-likes-me-he-really-really-likes) _2026-06-02 · Brian Fisher · Soil and Roots_ Why We Secretly Assume God Is Disappointed in Us ## [I Must Be in the Front Row](https://soilandroots.substack.com/p/i-must-be-in-the-front-row) _2026-05-27 · Brian Fisher · Soil and Roots_ The Idea that God Likes Some People More Than Others ## [No Soup for You](https://soilandroots.substack.com/p/no-soup-for-you) _2026-05-14 · Brian Fisher · Soil and Roots_ How Partial Cultures Shape Our Ideas of God ## [The Good Place](https://soilandroots.substack.com/p/the-good-place) _2026-05-04 · Brian Fisher · Soil and Roots_ Spiritual Formation and the Questions We’re Afraid to Ask About God’s Goodness ## [Assume nobody is listening](https://katya.bearblog.dev/assume-nobody-is-listening/) _2026-04-23 · katya · Katya's Blog_ If the person you’re talking to misunderstands or zones out while you're talking, there’s an 80% chance they won’t let you know. You might notice if they respond nonsensically. "How’s it going?" "Not much." But most of the time, they nod, smile and change the topic, or ask for clarification and if they still don’t get it... nod, smile and change the topic. We all assume. Good assumptions make life… ## [Stocks ranked by what execs say (Sponsored)](https://crawlproof.com/a/ndC78568vOeE) _2026-04-23 · **Sponsored**_ Evidence-backed watchlists from earnings calls and filings, cited to real transcripts—not guesses. ## [The Good, the Bad, and the Ugly](https://soilandroots.substack.com/p/the-good-the-bad-and-the-ugly) _2026-04-22 · Brian Fisher · Soil and Roots_ Spiritual Formation and the Hidden Idea That God Isn’t Actually Good ## [Pihole and IPv6](https://unorde.red/pihole/) _2026-04-03 · unorde.red on unordered_ I recently bought a cheap server to run at home, and set up pihole . I set up some local records, so my server is available via DNS locally. I also enabled DHCP, so I could give all of my devices fancy and organized local IP addresses. Unfortunately my ISP, which is part of the Big Telecom oligopoly in Canada, gave me a very locked down router. Inexplicably this router allows you to configure v4… ## [Vectorizing Loops with Control-Flow using the Vector API](https://eme64.github.io/blog/2026/03/23/VectorAPI-control-flow.html) _2026-03-23 · Emanuel Peter · Emanuel’s Blog_ Many algorithms require control-flow. As of JDK26, the HotSpot JVM does not auto vectorize loops with control-flow (other than the loop exit check). That will hopefully change in the future, but auto vectorization will always be limited. It is a pattern matching engine and can never cover all cases. That’s where the Vector API (JEP) comes to the rescue: it allows us to express vectorized… ## [Vectorizing Simple Algorithms with Auto Vectorization, Vectorized Intrinsics and the Vector API](https://eme64.github.io/blog/2026/03/20/Simple-Vectorized-Algorithms.html) _2026-03-20 · Emanuel Peter · Emanuel’s Blog_ In this blog post, we will look at some very simple algorithms like fill, copy, map and iota, and see how we can vectorize them to get speedups. I will assume that you already have some basic understanding of automatic vectorization, vectorized intrinsics and the Vector API, otherwise please read this blog post first. ## [How the HotSpot JVM speeds up computation with SIMD Vectorization](https://eme64.github.io/blog/2026/03/19/Hotspot-JVM-Vectorization.html) _2026-03-19 · Emanuel Peter · Emanuel’s Blog_ Parallel processing is used in many places to speed up computation. ## [Implementing a Fast Dot-Product using the Java Vector API](https://eme64.github.io/blog/2026/03/19/VectorAPI-dot-product.html) _2026-03-19 · Emanuel Peter · Emanuel’s Blog_ The dot-product is one of the most fundamental Linear Algebra operations, and it has many applications. ## [Seed List 3/15/25 - FINAL](https://bracketforecast.substack.com/p/seed-list-31525-final) _2026-03-15 · Bracket Forecast · Bracket Forecast_ First Four Out: Auburn, San Diego State, Oklahoma, New Mexico ## [Seed List, 3/11/26: 3pm Eastern](https://bracketforecast.substack.com/p/seed-list-31126-3pm-eastern) _2026-03-11 · Bracket Forecast · Bracket Forecast_ First Four Out: ## [Seed List, 3/9/26](https://bracketforecast.substack.com/p/seed-list-3926) _2026-03-09 · Bracket Forecast · Bracket Forecast_ ## [Seed List, 3/8/26 - 5pm](https://bracketforecast.substack.com/p/seed-list-3826) _2026-03-08 · Bracket Forecast · Bracket Forecast_ No bid thieves simulated ## [Refer a Friend, Earn Rewards (Sponsored)](https://crawlproof.com/a/ly2G4qSmuaLZ) _2026-03-08 · **Sponsored**_ Earn rewards when friends get the Graphite Business Card through your referral. ## [Seed List, 3/6/26](https://bracketforecast.substack.com/p/seed-list-3626) _2026-03-06 · Bracket Forecast · Bracket Forecast_ Simulating one bid thief (Akron - MAC). ## [Seed List, 3/2/26](https://bracketforecast.substack.com/p/seed-list-3226) _2026-03-02 · Bracket Forecast · Bracket Forecast_ Note: Simulating bid thief (Akron, MAC). ## [Seed List 2/26/26](https://bracketforecast.substack.com/p/seed-list-22626) _2026-02-27 · Bracket Forecast · Bracket Forecast_ ## [Seed List 2/24/26](https://bracketforecast.substack.com/p/seed-list-22426) _2026-02-24 · Bracket Forecast · Bracket Forecast_ ## [Top 16 Bracket Reveal Predictions](https://bracketforecast.substack.com/p/top-16-bracket-reveal-predictions) _2026-02-21 · Bracket Forecast · Bracket Forecast_ 1: Michigan (Big Ten), Duke (ACC), Arizona (Big 12), UConn (Big East) ## [Bracket Projection and Seed List 2/16/26](https://bracketforecast.substack.com/p/bracket-projection-and-seed-list) _2026-02-17 · Bracket Forecast · Bracket Forecast_ ## [JDK26: Auto Vectorization and Aliasing](https://eme64.github.io/blog/2026/01/14/Aliasing.html) _2026-01-14 · Emanuel Peter · Emanuel’s Blog_ Aliasing is one of the biggest obstacles to vectorization and auto vectorization in particular. As we will see further below, it is also relevant for uses of the Vector API. ## [Vectorizing Reductions: from JDK9 to JDK26 and beyond](https://eme64.github.io/blog/2026/01/13/Reductions.html) _2026-01-13 · Emanuel Peter · Emanuel’s Blog_ There are a lot of examples for reductions: computing the sum, product or min over some list of numbers, the dot product (sum of element-wise products), or even the polynomial hash over a string. ## [Performance impact of Alignment](https://eme64.github.io/blog/2026/01/12/Alignment-Performance.html) _2026-01-12 · Emanuel Peter · Emanuel’s Blog_ An important topic in SIMD vectorization is alignment of memory accesses, i.e. loads and stores. There is an impact on any form of vectorization, including auto-vectorization and explicit vectorization (e.g. with the Vector API). ## [Fine Tuning Llama 3.2B with Unsloth](https://davidan.dev/posts/ftsql/) _2026-01-12 · David An_ In this article, we will be fine tuning the Llama 3.2B model with Unsloth on the Spider 1.0 SQL dataset. The goal of the article is to improve the SQL capabilities of a general Llama 3.2B model. Prerequisites Before we get started, we assume that the reader has access to a GPU which they are able to use for training. Additionally, we assume that the reader has a Python setup. ## [Prime Noise-Cancelling Picks (Sponsored)](https://crawlproof.com/a/fW05kZeKxerA) _2026-01-11 · **Sponsored**_ Browse Prime-eligible, 4-star-and-up noise-cancelling earbuds with fast shipping and deals ## [We Are Living in a Giant Casino](https://davidan.dev/posts/lottery/) _2026-01-05 · David An_ Short-term gratification has taken over the world. We as a society, now expect everything to be instantaneous or near-instantaneous and this attitude has made its way to nearly every corner of our lives. Here is a short but definitely not exhaustive list of such examples: ## [Local-first GPU Cluster with nvkind and Time Splitting](https://davidan.dev/posts/nvkind/) _2025-12-14 · David An_ You have a brand new shiny GPU and want to start experimenting with it by running some sample experiments in Kubernetes, but how would you start that. In this short tutorial, we go over how to use nvkind, the gpu-operator to start running some basic experiemtns using your new GPU. We assume that the reader already has things such as Docker, golang, and relevant drivers/systems (nvidia-ctk,… ## [AI's Second Act: Predictions for the Future of AI](https://davidan.dev/posts/secondact/) _2025-11-23 · David An_ I want to preface that any opinions expressed here are of my own and not representative of any organization or my employers. In 2023, ChatGPT was released to the world, fundamentally changing how technology is created and how we think about businesses. What once took weeks to build now takes hours to minutes with a simple prompt and a few clicks. Tools like Cursor and Codex brought AI to our… ## [Distributed Inference for Fun and Profit](https://davidan.dev/posts/dif/) _2025-11-01 · David An_ You ever just wonder how large models serve at scale? Or how to actually go from query to answer? Over the course of this article, we will take a look at approaches to inference and explore the tradeoffs of various approaches from a technical perspective. We assume that the reader has basic knowledge of ML concepts and how Transformers work. Additionally, all of the work here is done on a single… ## [A Dive into GPU Math](https://davidan.dev/posts/gpumath/) _2025-10-15 · David An_ You ever wonder what goes on when you ask ChatGPT a question and how that is served? Or what people mean when by using a A100 to train a model and the time it takes? Or even considering the levels of abstraction between the model and the hardware? This article will aim to bring light to many of the concepts related to GPUs and the math behind them. We assume that the reader has a basic… ## [Tokenization and Embeddings: A Primer](https://davidan.dev/posts/tokenization/) _2025-10-01 · David An_ Lately, all we have heard about is tokenization and embeddings and the role they play in the greater LLM and AI ecosystem. These two concepts are one of the most fundamental concepts in language modeling and remain the foundation of the technology we interact with on a daily basis. In this article, we will cover some of the basics around tokenizing and embedding sequences of texts and the nuances… ## [Implementing Kubernetes Security: A Hands-On Approach](https://davidan.dev/posts/k8s-2/) _2025-06-01 · David An_ In a continuation of the previous article, we explore the implementation of these different examples. Specifically, we will be covering workload separation, authentication, and other hardedning techniques. This article will have an example followed by a short explanation of what and why we should do that. We assume that the reader has a basic understanding of Kubernetes topics such as pods,… ## [FINAL - 3/16/25](https://bracketforecast.substack.com/p/final-31625) _2025-03-16 · Bracket Forecast · Bracket Forecast_ ## [Seed List 3.10](https://bracketforecast.substack.com/p/seed-list-310) _2025-03-10 · Bracket Forecast · Bracket Forecast_ Assumes one bid thief: (North Texas, American) ## [Seed List, 3/9/25](https://bracketforecast.substack.com/p/seed-list-3925) _2025-03-09 · Bracket Forecast · Bracket Forecast_ Assumes 1 Bid Thief (North Texas, American) ## [Seed List, 3/6/25](https://bracketforecast.substack.com/p/seed-list-3625) _2025-03-06 · Bracket Forecast · Bracket Forecast_ Note: Assumes two bid thieves (average is 2.7). George Mason (A10) and North Texas (AAC) ## [Seed List, 2/24/25](https://bracketforecast.substack.com/p/team-sheets) _2025-02-16 · Bracket Forecast · Bracket Forecast_ First Four Out: VCU, Ohio State, Boise State, Georgia ## [Predicting the Top 16 ahead of Saturday's Bracket Reveal](https://bracketforecast.substack.com/p/predicting-the-top-16-ahead-of-saturdays) _2025-02-15 · Bracket Forecast · Bracket Forecast_ Next up: St. ## [Introduction to HotSpot JVM C2 JIT Compiler, Part 3](https://eme64.github.io/blog/2025/01/23/Intro-to-C2-Part03.html) _2025-01-23 · Emanuel Peter · Emanuel’s Blog_ I assume that you have already looked at Part 0, Part 1, and Part 2. ## [Introduction to HotSpot JVM C2 JIT Compiler, Part 4](https://eme64.github.io/blog/2025/01/23/Intro-to-C2-Part04.html) _2025-01-23 · Emanuel Peter · Emanuel’s Blog_ I assume that you have already looked at Part 0, Part 1, Part 2, and Part 3. ## [AutoVectorization (SuperWord) Status](https://eme64.github.io/blog/2025/01/01/AutoVectorization-Status.html) _2025-01-01 · Emanuel Peter · Emanuel’s Blog_ I present this graphical overview of the C2 AutoVectorizer (SuperWord). The goal is to help myself and others understand the different improvements and their dependencies.