AllTimeLow

[AllTimeLow @AveryCates32]

Can we all agree it's time to reboot Northern Exposure.

[Bruce Campbell @GroovyBruce]

If you’ve never seen an Evil Dead movie before, you might want to practice before seeing this one. It all Burns on 7/10.

[Interesting things @awkwardgoogle]

Good to know

[Geek Lite @QingQ77]

好东西🕹️

[Sovey @SoveyX]

AI is gonna take your job and your girl.

[Nicolas Krassas @Dinosn]

TryHackMe starting an AI Pentesting Company trained on User Data https://t.co/09Fs3Dpv7Y

[Fr Joseph Hudson @acloudofsaints]

You do not have unlimited time.
Your death will come on an ordinary day, in the middle of unfinished plans, and the world will continue on without you.

[Science girl @sciencegirl]

This is a 10 year old child

Meet Zhang Sixuan - winner of the 2024 world shaolin kungfu competition

[Dr. Clown, PhD @DrClownPhD]

This could be the truest shit I’ve ever heard 😂

[DogeDesigner @cb_doge]

Grok explained the newly open sourced X algorithm in 10 clear and easy points:

1) When you open the "For You" feed on X, it starts by gathering your personal info, like who you follow and what posts you've liked, replied to, or shared in the past—this helps customize what you see.

2) Next, it collects potential posts from two main places: ones from people you already follow (called in-network) and new discoveries from across all of X (called out-of-network) that might interest you.

3) The in-network posts come from a fast system that stores recent updates from your followed accounts in memory, making it quick to grab without delays.

4) For out-of-network posts, it uses smart AI to compare your interests (based on your history) with all posts on X, picking ones that seem similar or relevant through a matching process.

5) Once it has these candidate posts, it adds extra details to each, like the post's text, images, videos, author's name, and whether they're verified or if it's behind a paywall.

6) Then, it cleans up the list by removing duplicates, old posts, your own stuff, anything from blocked or muted people, keywords you don't like, or things you've already seen.

7) Now, a powerful AI model (based on Grok) looks at your past interactions and predicts how likely you are to like, reply, repost, click, or even dislike each post—giving each a score.

8) It combines these predictions into one final score per post, boosting good actions (like likes) and lowering bad ones (like blocks), while adjusting to mix in variety so one person doesn't dominate your feed.

9) The posts are sorted by these scores, and the top ones are selected to create your feed, ensuring a balanced mix of familiar and new content.

10) Finally, it does one last check to remove any deleted, spammy, violent, or inappropriate posts, then serves up the ranked feed for you to scroll through.

[Dear Self. @Dearme2_]

Do it.

[Holistic Fitness @HolisticFitnes_]

Face Exercises, No surgery required ‼️‼️

[AllTimeLow @AveryCates32]

@BentleyAudrey Geek2geek

[Leon @MindMatterMoney]

Man to man.

[Elon Musk @elonmusk]

Accurate