ByteSizedDesign
@bytesizeddesign
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From write-through to write-back, learn when and why to use caching to speed up your systems, reduce costs, and keep users happy. Read the latest here: bytesizeddesign.substack.com #SystemDesign #Caching #TechTips
OpenAI just signed a $38B deal with AWS , the timing is wild. Their exclusive Microsoft cloud partnership literally ended last week, and now they're immediately spinning up hundreds of thousands of NVIDIA GPUs on Amazon's infrastructure. Amazon has poured billions into…
Samsung bought 50,000 Nvidia GPUs to automate chip manufacturing. AI building the machines that build AI. The loop is looping. 🔁⚡
Memory That Actually Works: LightMem Cuts LLM Costs by 100x While Boosting Performance Current LLMs have a memory problem, they either forget past conversations or get lost in long contexts. LightMem solves this by mimicking human memory: filter noise instantly, group related…
Ever wake up with a dozen thoughts racing, errands, work, random ideas and forget half of them by lunch? That’s ADHD mental clutter. Here’s how a simple brain dump can clear your head and boost focus, plus how Forget helps you do it in seconds 👇 🔗 forget.work/blog/the-art-o…
This paper quietly marks a turning point in how we think about training intelligent agents. Google DeepMind’s Dreamer 4 learns entirely inside its own world model, no live environment, no online rollouts. Here’s what makes it special 👇 🧠 Imagination-based learning — The…
If your solution diagram looks like a subway map, you’re not designing a system, you’re designing a nightmare.
Getting better at system design isn’t about adding more boxes and arrows. It’s about deleting the ones that don’t matter.
Pinterest ditched Hadoop and built Moka, a container-native Spark platform that’s faster, cheaper, and scales with Kubernetes. Big data, meet your caffeine fix. ☕ → Read how they did it: bytesizeddesign.substack.com/p/how-pinteres…
This paper completely changed how I think about software research. LLMs aren’t just writing papers anymore, they’re actually doing the research. It’s called AutoEmpirical Here’s how it works 👇 Decomposes the workflow — The system breaks down software fault analysis into 3…
Stanford researchers asked: what happens when compute keeps growing but high-quality training data doesn’t? Turns out, old tools like strong regularization, ensembling, and distillation can squeeze more out of fixed datasets, bending scaling laws in surprising ways.
The companies succeeding with AI in engineering are changing culture instead of just adding tools. Faster onboarding, flipped mentorship, and clear paths from demos to production. Salesforce is one example of how it works in practice: bytesizeddesign.substack.com/p/unleashing-t… #ai #aitools
We’ve been listening. Forget Work is getting even better at helping you focus, track, and stay flexible. Here’s what’s new in the latest update ⏬
I’m looking for sponsors for State of AI. If you want to reach 17,000+ AI engineers and researchers, I’d love to hear from you! passionfroot.me/state-ai
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