2. The 49MB Web Page (thatshubham.com)

A look at modern news websites. How programmatic ad-tech, huge payloads and hostile architecture destroyed the reading experience.

3. Stop Sloppypasta (stopsloppypasta.ai)

Sloppypasta: verbatim LLM output pasted at people. Why it's rude and what to do instead.

5. LLM Architecture Gallery (sebastianraschka.com)

A gallery that collects architecture figures from The Big LLM Architecture Comparison and related articles, with fact sheets and links back to the original sections.

10. The Appalling Stupidity of Spotify's AI DJ (www.charlespetzold.com)

Am I naΓ―ve in expecting Artificial Intelligence to be smart? Is my interpretation of the word β€œintelligence” too literal? And when an AI behaves stupidly, who’s to blame? The programmers or the AI entity itself? Is it even proper to make a distinction between the two? Or does the AI work in so mysterious a way that the programmers need no longer take responsibility?

11. How Kernel Anti-Cheats Work: A Deep Dive into Modern Game Protection (s4dbrd.github.io)

Modern kernel anti-cheat systems are, without exaggeration, among the most sophisticated pieces of software running on consumer Windows machines. They operate at the highest privilege level available to software, they intercept kernel callbacks that were designed for legitimate security products, they scan memory structures that most programmers never touch in their entire careers, and they do all of this transparently while a game is running. If you have ever wondered how BattlEye actually catches a cheat, or why Vanguard insists on loading before Windows boots, or what it means for a PCIe DMA device to bypass every single one of these protections, this post is for you.

13. LLMs can be exhausting (tomjohnell.com)

Some days I get in bed after a tortuous 4-5 hour session working with Claude or Codex wondering what the heck happened. It's easy to blame the model - there'...

15. Allow me to get to know you, mistakes and all (sebi.io)

I think I’ve finally pinpointed why it is that I have an allergic reaction when I’m confronted with a text that has me as the intended recipient, but that has been run through an LLM to change or β€œclean up” the wording - especially if it’s internal communication or even direct communication. Well, at the very least, I think I’ve found the vocabulary to express the idea:
When you run your message through an LLM, it will inevitably obscure what you actually wanted to say; we choose words for a reason after all - even if they’re sometimes not the right words.

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