t the sub

21 year old

[t the sub @brown_cuck_]

“She still cares about you, sure... but after feeling his length? You’re more like a memory.”

[Adreena Winters @adreena_winters]

🌍 The Cuck Academy is going multilingual.

The Cuckold Quiz is now available in 🇫🇷 French, 🇪🇸 Spanish, and 🇩🇪 German, making it easier than ever for men around the world to explore their journey.

Some courses and blog posts have also been translated, with much more on the way.

This is just the beginning.

👉 https://t.co/updpfCzNpz

[. @infernaclips]

Holly Hotwife revealed that on her first night doing cam shows, viewers dared her to answer the door naked when a pizza arrived. She said she ended up inviting the delivery driver inside and the situation eventually led to them sleeping together while thousands of viewers watched live 😳

“It was the wildest thing.”

[claudia @claudiadalmaug]

history in the making. the first and only ai agent officially on apple messages 🌴

[TRT World @trtworld]

Pakistan says two river projects by arch-rival India would "weaponise" water and violate a major treaty between the neighbouring nations, warning of a response if the projects move ahead

https://t.co/8tVFaOewsW

[Gia Macool @GiaMMacool]

Why do some men not understand that once they allow another man to have sex with their wife, she will never view her husband the same way ever again?

[, @Zvbear]

Glass of water

[Leah ♠️ @snowbunny_leah]

He’s so deep he took out another CC.
Hot AF.

[Nelly’s Cuckold Diary @NellysCuckDiary]

I sold another #clip! My BBC Bull Returns to Fuck Me Hard in Front of My Chastity Cuck – Messy Creampie & Humiliating Cleanup [HD 1080p] https://t.co/Avif49zVIz

[BNWO Ranger @BNWORanger]

Parody *

Lenna Plug and Jason Luv teaching Adam22 to just be a useful white cuck !

@girlwspadetatoo @shanexxxdiesel

[Shane Diesel @shanexxxdiesel]

On my onlyfans ;) enjoy

[King Dante 🤴🏿♠ @God_KingMaster]

👀👀👀👀

[jules @julesrosenberg]

5 things @rauchg does differently
> counts every keystroke he types per day
> built a tool that lets him retroactively screen-record bugs
> gives feedback in v0 instead of writing it out
> gets a full company brain dump from an agent every Monday
> doesn't keep a to do list

[ANI @ANI]

#WATCH | On the 2008 Mumbai attacks, IPL founder and first chairman Lalit Modi says, "... On the 26th of November 2008, I was at the Taj Hotel from 5 am to 7 am with 200 people at the Souk restaurant, having a security briefing. I step out exactly at 7 am to go to have drinks on the boat of Vijay Mallya in the harbour. On the 27th, 100% of the hotel is booked by me. The Champions League is beginning. The opening ceremony is on 27 November 2008. All the teams were landing that night. I had the whole Taj Hotel and Oberoi Hotel booked for the next day... I had just reached the Gateway of India, and the gunshots began. All I can say today is I'm so grateful that it happened on 26 and not 27... I don't want to probe it (the date selection). I won't be able to sleep at night. My bodyguards took out 200 people on their backs to the fire shaft that night... The Pakistan team had just landed, and I sent them right back. I knew they would be massacred then... That made my second biggest enemy, Rupert Murdoch, because I had sold the Champions League rights to him... I cancelled the Champions League. They lost a few hundred million dollars, but they still had to pay us because the minute the team touches down, the contract becomes viable. Rupert tried to make me cancel the contract. He said he would pay me hundreds of millions of dollars to cancel the contract. I could have taken that money, but I didn't. So I made another enemy."

Watch Full Episode Here: https://t.co/yBwHz5NMnc

[t the sub @brown_cuck_]

@Alexia_fxxo Hi

[indian essex @indianessex9]

Dressed for the London moment 🔥🔥🔥

[cagan @buildincrisis]

if anthropic had dropped Mythos today, it still wouldn’t have been the best model released today.

[Dwarkesh Patel @dwarkesh_sp]

Recently met @srush_nlp and he started giving me an impromptu lecture on how targeted on-policy self-distillation works.

I asked him if I could record it on my iPhone.

The basic idea is this: if the model made a mistake at some point in the rollout (for example, calling a tool that doesn't exist), we want to discourage this specific error, but we don't want to just learn from the final reward, because it's a very noisy signal spread out over the whole trajectory.

So we have another model read this trajectory and figure where the error was made. It simply inserts some hint tokens to the part of the trajectory right above where the mistake was made.

Now with these injected hint tokens, have the model run a forward pass. You're not having to regenerate a new rollout - aka no new decode required.

The hint causes the model to assign lower probabilities to the error tokens. You then trains the original model to match these new probabilities, teaching it to downweight that specific mistake.

[t the sub @brown_cuck_]

@pockstarrr Dm

[@levelsio @levelsio]

This is how you do a great startup video

Humble and chill and a real cool backstory