Skip to content

ViralLoop

Your next post already worked.

← Back to library

Loading the post

Remix this post

SaveShare

Your note

Private to you, and used when you remix this post.

Viral score

Why it worked

The mechanics

Hook
Style
Tone
Written for

Analysis by ViralLoop — not written by the original author.

elie on AI · ViralLoop

← Back to library

Post by elie on X

elie@eliebakouch

fun fact, literally all the open models from western "big labs" (with a lot of ex close lab people), so thinking machine, microsoft MAI, gemma, gpt-oss have one thing in common: they ALL use sliding window attention 🙂

1.5K likes37 repliesPosted Jul 15, 2026

View the original on X Written by elie. Captured Sep 4, 2026.

Remix this post

Your note

Private to you, and used when you remix this post.

48

Viral score

Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Ends on a short line that is easy to quote and repeat.
Short enough to read in full without expanding, which removes a step before the point lands.
Quotes someone directly, which makes the moment concrete rather than summarised.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: plain, matter-of-fact
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

Posts built the same way

Disney has cancelled their deal with OpenAI. They planned to invest $1 billion into the company and let Sora have access to AI generate videos of characters from Disney, Marvel, Pixar and Star Wars. (Source: t.co

Attorney General Pamela Bondi

At my direction, early this morning federal agents arrested Don Lemon, Trahern Jeen Crews, Georgia Fort, and Jamael Lydell Lundy, in connection with the coordinated attack on Cities Church in St. Paul, Minnesota. More details soon.

For those confused why the US state and Silicon Valley are having a meltdown on twitter today. China released multiple AI models that are 50x more efficient than the best American AI models and made them open source, ruining the AI market

Universal HIGH INCOME via checks issued by the Federal government is the best way to deal with unemployment caused by AI. AI/robotics will produce goods & services far in excess of the increase in the money supply, so there will not be inflation.

I am very excited about AI, but to go off-script for a minute: I built an app with Codex last week. It was very fun. Then I started asking it for ideas for new features and at least a couple of them were better than I was thinking of. I felt a little useless and it was sad.

Hi! I'm one of the prompt writers that worked on this ad. It's a lot harder than people think! Prompts that my team used include: -make it funny -make it epic AND funny -funnier!!! Please be nice to my team as many of them will be laid off/replaced by AI

More from elie

Fable and Mythos 5.1 are the EXACT same weights, they look at the internal activations then escalate to a bigger classifier and ultimately fallback to Opus 4.8 if the request is categorized as dangerous Fable is not distilled version of a larger Mythos model

> Using Codex with GPT‑Astra, the team brought three open-weight models that were not part of Jalapeño’s original production plan to high performance within two months from openai blog, two months is quite a lot here no? i'm a bit confuse by this

new anthropic benchmark for "automated ai research". they sourced problems they had on their infra and training stack, give the model the exact same state of the codebase and see if it can solve it openai also has a similar eval since the gpt 5.2 system card

new deepseek v4 pro is now open weight on hugging face (mit license) "v4" is a bit misleading, previous model was only a preview and this one has way more training behind it, feels more like a v4.5 also very excited for the deepseek harness release t.co

grok 4.6 has a very impressive test time curve on cursorbench, in a league of its own they did more mid/pre-training on the grok 4.5 checkpoint and newer SFT stages with grok 4.5 traces and model base filtering. once again shows how important a good SFT ckpt is

mistral, the inference provider company of Europe. smart (and hard to make!) move imo, their models are largely behind open model so this lets them get big clients on the infra part in without forcing their own models on them t.co