ktk

@NVIDIAGeForce May the luckiest win this #007FirstLightRTX

Recruits, your first prize is here... A custom GeForce RTX 5080 Founders Edition + PC copy of the game. Comment #007FirstLightRTX to win 👇

My read on SubQ either it’s a scam, or they’ve nailed DSA Likely something like a hierarchical learned router over block/chunk summaries, plus local sliding attention for syntax and global document anchor blocks The magic, if real, is the router

0.069$/hour for an RTX 5060 Ti on @vast_ai is a hack

Greg and @karpathy attemping to use grill at OpenAI 2017 offsite

- You need content to create momentum - Too many options kill clarity - Don’t fall in love with your idea, users haven’t yet

@skumWgmi got a couple of friends about to be in the same position in a few years

met a guy on a server who has truly won in life: - makes 25-30k/mo - lives in dubai - is following his passion - chad physique - startup with his childhood friends just for vibes - wifey material gf - A LOOTTT of friends and connections idk what's even left for him to achieve..

@TheVixhal you just know bro fucks

I found out my girlfriend cheated on me. Instead of breaking up right away, I made a fake account, sent her the proof anonymously, and told her that if she didn’t send me money, I’d tell her boyfriend everything. I shared this whole plan with my best friend for advice, but this mf went behind my back and shared everything with my girlfriend. When confronted, he said Why does it matter? I thought she deserved to know. He wasn’t just betraying me. He was behaving like a random variable after you marginalize out all the hidden information. In probability, to understand what you actually know, you marginalize over hidden variables. That means you sum over all the possibilities you can’t observe to compute the probability of what you can observe. Marginal probability is a statistical measure that represents the probability of a single event by aggregating over all possible values of other variables. Formula P(A) = Σ P(A, Bi) Where P(A) = Marginal probability of event A P(A, Bi) = Joint probability of A and B Σ = Summation Let's take an example and solve step by step A dating app wants to find the probability of users sending messages, regardless of whether they get a response. The data shows message sent vs response received: Short forms - M = Message - R = Response Joint Probability Table - M (Yes), R (Yes) = 0.30 - M (Yes), R (No) = 0.25 - M (No), R (Yes) = 0.10 - M (No), R (No) = 0.35 Step 1 What we want to marginalize - We want P(M = Yes) Step 2 Joint probabilities for M = Yes - P(M = Yes, R = Yes) = 0.30 - P(M = Yes, R = No) = 0.25 Step 3 Apply marginal probability - P(M = Yes) - P(M=Yes, R=Yes) + P(M=Yes, R=No) - 0.30 + 0.25 = 0.55 P(Message = Yes) = 0.55 Final Answer The marginal probability of a user sending a message is 0.55 or 55%, regardless of whether they receive a response. Congratulations, you've just learned Marginal Probability. Bonus: Applications in AI/ML 1. Bayesian Networks: Computing marginal probabilities by summing out irrelevant variables to make predictions and inferences in graphical models. 2. Latent Variable Models: In topic modeling (LDA) and hidden Markov models, marginalizing over hidden states to find the probability of observed data. 3. Feature Selection: Identifying which features independently correlate with target variables by computing marginal distributions, helping reduce dimensionality. 4. Probabilistic Classification: Naive Bayes classifiers use marginal probabilities of features to classify data, assuming independence between features.

@karpathy wdyt

Can we sort of say that 'knowledge' to us is a transfer learning method where the solution to our query the 'acquirable' part of knowledge is sampled from a solution space conditioned on what we already know and what we observe? Should probably just bust icl

@SharavArora @theresidency @residencyBLR @GeminiApp Crazy stuff lil bro

@krishgarg @xai @yuviecodes @lohanipravin Crazy stuff and innovating, well deserving indeed

i won the @xai hackathon by making ads for X Videos introducing Halftime. targeted ad generation using AI that feels like a part of your movies and shows built with @yuviecodes @lohanipravin

@SharavArora @ycombinator Love it! ♥️

@mindsetmachine Remember to zip it up on your way out

How Telegram CEO starts his presentation

@KhetanshuV @aakancvedi sheesh

@aakancvedi the art of choosing

The Art Of Naming A Book

babe, I don't think we're the same anymore ever since I saw you pip install argparse im sorry

First run with Grokipedia: a) the floating menu keeps covering the last line b) when I tried the "ask grok" feature, it ended up searching and retrieving off wikipedia anyway

@_bhrdwj @apareek05 d1 sopranos glazer

just rewatched THE WIRE, and man nothing else comes close, best content on tv ever created

@dwarkesh_sp @karpathy fuck yes

Tomorrow

@KhetanshuV The CY26P market size of Indian watch is close to the number of bitches you get

In the pursuit of Self-reliance and Atmanirbhar bharat, govt should re-thing to revive the classic Indian watch maker company "HMT" which began its journey in 1953 and ensure a smooth supply chain. Indian watch market size in 2025 is estimated to be around ₹26,600 cr.

@_bhrdwj @LylesNoah bro started running 2 days ago btw

it's so satisfying to see @LylesNoah getting his ass handed to him by Oblique Seville , Long live jamaican runners!