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00:00 - 07:29
[Music plays. Silence. Waiting for speakers and audience to join.]

07:30
Elon Musk: Hi, sorry for the delay. We’re just, uh, waiting for everyone who wants to join the space to join. Um, we need to tweak the algorithm a little bit... the "For You" recommendation for, uh, spaces needs to... needs to have higher immediacy in recommendations. For obvious reasons. So, um, we're just giving everyone a minute to be aware of the space. So, uh, we're just giving everyone a minute to be aware of the space. And we're going to adjust the "For You" algorithm to have higher immediacy in recommendations for obvious reasons.

08:20
[Silence/Waiting]

10:34

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Bates Begin,Bates End,Bates Begin Attach,Bates End Attach,Attachment Document,Pages,Author,Custodian/Source,Date Created,Date Last Modified,Date Received,Date Sent,Time Sent,Document Extension,Email BCC,Email CC,Email From,Email Subject/Title,Email To,Original Filename,File Size,Original Folder Path,MD5 Hash,Parent Document ID,Document Title,Time Zone,Text Link,Native Link
HOUSE_OVERSIGHT_010477,HOUSE_OVERSIGHT_010485,HOUSE_OVERSIGHT_010477,HOUSE_OVERSIGHT_010485,,,,"Epstein, Jeffrey",,,,,,,,,,,,,,,,,,,\HOUSE_OVERSIGHT_009\TEXT\001\HOUSE_OVERSIGHT_010477.txt,
HOUSE_OVERSIGHT_010486,HOUSE_OVERSIGHT_010559,HOUSE_OVERSIGHT_010486,HOUSE_OVERSIGHT_010559,,74,,"Epstein, Jeffrey",09/28/2016,,,,,pdf,,,,,,James Patterson 3_4.pdf,18492748,\,8cd6392a61f13126d0dac4a35445a42f,,,0,\HOUSE_OVERSIGHT_009\TEXT\001\HOUSE_OVERSIGHT_010486.txt,
HOUSE_OVERSIGHT_010560,HOUSE_OVERSIGHT_010565,HOUSE_OVERSIGHT_010560,HOUSE_OVERSIGHT_010565,,,,"Epstein, Jeffrey",,,,,,,,,,,,,,,,,,,\HOUSE_OVERSIGHT_009\TEXT\001\HOUSE_OVERSIGHT_010560.txt

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import pandas as pd
import sys
from pathlib import Path
from datetime import datetime


def log_warning(message, log_file="conversion_warnings.txt"):
    """Log a warning message to the warnings file with timestamp."""
    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
    with open(log_file, 'a', encoding='utf-8') as f:

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// Takes a youtube transcript and makes it one big string

// Get all transcript segments
const segments = document.querySelectorAll('ytd-transcript-segment-renderer');

// Extract text from each segment
const text = Array.from(segments)
  .map(segment => segment.querySelector('.segment-text')?.textContent.trim())
  .filter(text => text) // Remove any empty entries
  .join(' ');

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#!/bin/bash

# ==============================================================================
# NVIDIA Driver Installation Script
#
# This script automates the installation of NVIDIA drivers on various Linux
# distributions based on the official NVIDIA documentation:
# https://docs.nvidia.com/datacenter/tesla/driver-installation-guide/index.html
#
# Supported Distributions:

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From: nili priell nilipr@netvision.net.il
To: ehbarak1 ehbarak1@gmail.com
CC:
Date: Wed, 1/9/2013 12:20:04 AM
Subject: FW:

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The Scott Alexander Email: An Explainer

So, Scott Alexander sent an email to someone in 2014. In 2021 the person who got that email thought that Scott was not being honest about his relationship to the neoreactionary movement, so they published it.

Although this has been widely available, even people who have read it have often missed what the email is saying. There are some cases of genuine ambiguity, where there can be more than one meaning. There are also cases where there is only one plausible meaning, but that meaning is expressed indirectly, subtly, or by linking to something else. Because what the email is saying can be difficult to understand, it seems like it would be of general interest to publish an explainer that went over these ambiguities and the links.

It has sometimes been said that this email should not be read because it was released without permission. This seems like a bad position.

First, because information is information. We know, due to the circumstances, that this was somewhat i

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# Uninstall all nvidia packages, old drivers, etc.

# list all the packages with nvidia in the name
dpkg -l | grep -i nvidia

sudo apt-get remove --purge nvidia* 

sudo apt-get remove --purge cuda* 

sudo apt-get remove --purge libnccl* 

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import torch


@torch.compile
def fwht_optimized(x, dim=-1):
    """
    Highly optimized FWHT specifically designed for torch.compile.
    Uses more compiler-friendly operations.
    """
    if dim != -1:

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"""
Hugging Face Dataset Verification Tool

This script verifies the integrity of locally downloaded Hugging Face datasets by comparing
SHA256 checksums from the remote repository with local file hashes.

USAGE:
    python verify_hf_download.py <repo_id> [local_path]

ARGUMENTS: