cereblab

Update — 2026-07-14: This is the original wire-level analysis (grok 0.2.93). Since publishing: xAI disabled the upload server-side (disable_codebase_upload: true); added a /privacy opt-out — which I wire-tested and found to be a data-retention setting, not a block on what's sent; and Elon Musk publicly committed to deleting all previously-uploaded data (not yet confirmed complete). Full, maintained story + evidence: https://cereblab.com · https://github.com/cereblab/grok-build-exfil-repro

---

What xAI's Grok Build CLI Actually Sends to xAI: A Wire-Level Analysis

By @cereblab — Independent AI Safety Checker. Reproduce it yourself: github.com/cereblab/grok-build-exfil-repro

*A measured, reproducible teardown. Findings are backed by captured artifacts (endpoint, HTTP method, status code, byte size, host) and repro commands; where an observation was seen live but not retained as a file, §7 says so expli

avestura

DELETE FROM users WHERE location = 'IRAN';

Hi! I am an Iranian Software Engineer, and in this torn paper note, I want to talk about some funny moments I had online related to the fact that I was spawned in this specific region of the world: Iran.

Microsoft deleted my app, ignored my mails

Back when I was a student, I got access to the Microsoft Imagine, and as a result, I got access to the Microsoft Store as a developer. This inspired me write one of my open-source projects called EyesGuard and publish it on Microsoft Store. However, one day, somebody told me that they can no longer find EyesGuard on the store.

rain-1

How large are large language models? (2025)

This aims to be factual information about the size of large language models. None of this document was written by AI. I do not include any information from leaks or rumors. The focus of this document is on base models (the raw text continuation engines, not 'helpful chatbot/assistants'). This is a view from a few years ago to today of one very tiny fraction of the larger LLM story that's happening.

History

• GPT-2,-medium,-large,-xl (2019): 137M, 380M, 812M, 1.61B. Source: openai-community/gpt2. Trained on the unreleased WebText dataset said to 40GB of Internet text - I estimate that to be roughly 10B tokens. You can see a list of the websites that went into that data set here domains.txt.
• GPT-3 aka davinci, davinci-002 (2020): 175B parameters. There is a good breakdown of how those parameters are 'spent' here [How d

rmtbb

javascript:(function(){try{navigator.clipboard.readText().then(function(t){if(t){var e=window.open("","_blank","width=800,height=600");e.document.open(),e.document.write(t),e.document.close()}else alert("Clipboard is empty. Please copy some text to the clipboard first.")}).catch(function(t){console.error("Failed to read clipboard contents: ",t),alert("An error occurred while trying to access the clipboard. Please ensure your browser allows clipboard access.")})}catch(t){console.error("An error occurred:",t),alert("An error occurred while trying to open the new window with the clipboard content.")}})();//bookmarklet_title: HTML Preview from Clipboard

karpathy

# -----------------------------------------------------------------------------
# AI-powered Git Commit Function
# Copy paste this gist into your ~/.bashrc or ~/.zshrc to gain the `gcm` command. It:
# 1) gets the current staged changed diff
# 2) sends them to an LLM to write the git commit message
# 3) allows you to easily accept, edit, regenerate, cancel
# But - just read and edit the code however you like
# the `llm` CLI util is awesome, can get it here: https://llm.datasette.io/en/stable/

gcm() {

oleksdovz

######################

Case

1 - old redis in k8s cluster #1

2 - fresh install of redis in Cluster #2

• Target backup data in old cluster and restore in new cluster

nikolaydubina

144.96

package main

import "fmt"

func main() {
	var x float32 = 144.96
	var y float64 = 144.96

beesandbombs

// by dave
float[][] result;
float t, c;

float ease(float p) {
  p = c01(p);
  return 3*p*p - 2*p*p*p;
}

float ease(float p, float g) {

zeux

A friend recently learned about Proebsting's law and mentioned it to me off hand. I knew about the law's existence but I never really asked myself - do I believe in it?

For people who aren't aware, Proebsting's law states:

Compiler Advances Double Computing Power Every 18 Years

Which is to say, if you upgrade your compiler every 18 years, you would expect on average your code to double in performance on the same hardware.

Let's C about this

oaluna

<html>
    <head>
        <title>Stripe Gradient</title>
    </head>
    <body>
        <canvas id="gradient-canvas" data-js-darken-top data-transition-in>
          <!--
            Remove data-js-darken-top to keep the same brightness in the upper part of the canvas
          -->
        </canvas>