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# Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews, Liang et al | |
# https://arxiv.org/pdf/2403.07183 | |
set1 = "commendable versatile fresh profound fascinating intriguing prevalent proactive vital authentic invasive insightful beneficial strategic manageable replicable traditional instrumental extant continental innovative meticulous intricate notable noteworthy invaluable pivotal potent ingenious cogent ongoing tangible methodical laudable lucid appreciable adaptable admirable refreshing proficient thoughtful credible exceptional digestible interpretative remarkable seamless economical interdisciplinary sustainable optimizable comprehensive pragmatic comprehensible unique fuller foundational distinctive pertinent valuable speedy inherent considerable holistic operational substantial compelling technological excellent keen cultural unauthorized expansive prospective vivid consequential unprecedented inclusive asymmetrical cohesive quicker defensive wider |
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package main | |
import ( | |
"context" | |
"log" | |
"time" | |
"go.temporal.io/sdk/client" | |
"go.temporal.io/sdk/worker" | |
"go.temporal.io/sdk/workflow" |
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Parsing command file: config/commands/defaults.sh | |
Parsing command file: config/commands/search.sh | |
Parsing command file: config/commands/edit_linting.sh | |
Parsing command file: config/commands/_split_string.py | |
Parsing command file: config/commands/defaults.sh | |
Parsing command file: config/commands/search.sh | |
Parsing command file: config/commands/edit_linting.sh | |
Parsing command file: config/commands/_split_string.py | |
INFO 📙 Arguments: actions: | |
open_pr: true |
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#include <stdio.h> | |
#include <stdlib.h> | |
#include <math.h> | |
#include <assert.h> | |
#ifndef M_PI | |
#define M_PI 3.14159265358979323846 | |
#endif | |
// Constants for model dimensions, learning rate, etc. |
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## Guild: [Nous Research AI](https://discord.com/channels/1053877538025386074) | |
### Nous Research AI Guild Summary | |
- Discussion on massive image data hosting: Members of the channel explore different options like Amazon S3, local storage, and Hugging Face for hosting TBs of image data from midjourney. The group suggests using **Hugging Face** due to its free storage and high file size limit but acknowledges the risk of a single point of failure. A relevant [YouTube video](https://youtu.be/gqw46IcPxfY) and a [discussion post from Hugging Face](https://discuss.huggingface.co/t/is-there-a-size-limit-for-dataset-hosting/14861/3) were shared for more insights. | |
- An engaging dialogue took place concerning AI and music transformation, with reference to Google's project, followed by deep disappointment in AI cutting-edge technology not being open source. AI's potential in game playing, especially at pixel-level was also touched upon through sharing an [old Python project](https://www.youtube.com/watch?v=eQC1JGMIx |
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const { exec } = require('child_process'); | |
// exec(` | |
// git log --reverse -- /Users/swyx/Desktop/Work/airbyte/airbyte-integrations/connectors/destination-amazon-sqs | awk 'NR>1 {print last} {last=$0}; /^commit/ && ++c==2{exit}' | |
// `, (err, stdout, stderr) => { | |
// if (err) { | |
// // node couldn't execute the command | |
// return; |
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1. Introduction | |
2. What are Data Nets? | |
3. Data Nets vs. Data Mesh | |
4. Data Nets vs. Data Contract | |
5. When do you need a Data Net? |
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# https://beta.openai.com/docs/libraries | |
import os | |
import openai | |
import yaml | |
# Load your API key from an environment variable or secret management service | |
openai.api_key = os.getenv("OPENAI_API_KEY") |
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[ | |
{ | |
"login": "cgardens", | |
"id": 9092207, | |
"node_id": "MDQ6VXNlcjkwOTIyMDc=", | |
"avatar_url": "https://avatars.githubusercontent.com/u/9092207?v=4", | |
"gravatar_id": "", | |
"url": "https://api.github.com/users/cgardens", | |
"html_url": "https://github.com/cgardens", | |
"followers_url": "https://api.github.com/users/cgardens/followers", |
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<?xml version="1.0"?> | |
<opml version="1.0"><head><title>Overcast Podcast Subscriptions</title></head><body> | |
<outline type="rss" | |
text="Editor's Picks from The Economist" title="Editor's Picks from The Economist" | |
xmlUrl="https://rss.acast.com/theeconomisteditorspicks" | |
htmlUrl="http://www.economist.com/"/> | |
<outline type="rss" | |
text="The History of English Podcast" title="The History of English Podcast" | |
xmlUrl="https://historyofenglishpodcast.com/feed/podcast/" | |
htmlUrl="https://historyofenglishpodcast.com/"/> |
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