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Last week I read a bunch of articles, all of which were a fun read. Not so heavy on social/sharing etc. these days, but figured I'd share them here regardless, because these were a lot of fun to read slowly through.

Suvash Thapaliya

@suva.sh

The first is a post about IO devices on the @planetscale.com blog. @benjdd.com clearly put in a ton of work on making this a fun resource. bsky.app/profile/plan...

PlanetScale@planetscale.com

Read the full article: pscale.link/io

pscale.linkIO devices and latency — PlanetScaleTake an interactive journey through the history of IO devices, and learn how IO device latency affects performance.

24/3/25, 1:28 pm0 reposts2 likes

Thanks for sharing!

No no, Thanks for writing it up. It was really a fun read. 🙌

Suvash Thapaliya

@suva.sh

24 Mar 2025

The second post is by @abhi9u.bsky.social on some common CPU architecture concepts (instruction pipelining, memory caching &speculative execution). Abhi has done a great job with the analogies in this one. blog.codingconfessions.com/p/hardware-a...

blog.codingconfessions.comHardware-Aware Coding: CPU Architecture Concepts Every Developer Should KnowWrite faster code by understanding how it flows through your CPU

Abhinav Upadhyay

@abhi9u.bsky.social

24 Mar 2025

Thank you Suvash, really appreciate that you shared it.

Suvash Thapaliya

@suva.sh

24 Mar 2025

Thanks for taking the time to write it up. I really enjoyed reading through & also shared it with my colleagues. 🙌

Suvash Thapaliya

@suva.sh

24 Mar 2025

The third post that I thoroughly enjoyed reading is "A Visual Guide to Reasoning LLMs" by @maartengr.bsky.social. I bet a lot of time was spent in creating these beautiful & well explanatory visuals. bsky.app/profile/maar...

Maarten Grootendorst@maartengr.bsky.social

A Visual Guide to Reasoning LLMs 💭 With over 40 custom visuals, explore DeepSeek-R1, the train-time compute paradigm shift, test-time compute techniques, verifiers, STaR, and much more! Link below