pull down to refresh

21 sats \ 1 reply \ @karanjbhatia 5 Aug \ on: 1,333,337 Sats Withheld in Controversial Writing Competition BooksAndArticles

Even detecting the thread with the most replies in it is a complicated task, apparently. If you have a premium account on X, maybe you have access to API v2 and can do this. I asked Google AI, and it had this to explain:

To find the highest reply thread under a specific tweet, you need to: 1) identify the tweet and its unique ID, 2) use the Twitter API to search for replies to that tweet, 3) filter for the highest reply thread based on in_reply_to_status_id_str, and 4) optionally, use the highest ID in subsequent searches to efficiently track new replies. Here's a more detailed breakdown:

Identify the Tweet and its ID: Locate the tweet you're interested in. Find the unique ID (often referred to as id_str) of the tweet. This ID is crucial for tracking replies.
Use the Twitter API for Search: Utilize the Twitter API's search endpoint (e.g., the Twitter API v2) to find replies. Construct a query like q="@screen_name_of_author_of_tweet_to_be_tracked" to search for tweets mentioning the author of the original tweet. You can also use the in_reply_to_tweet_id parameter to specifically target replies to the original tweet.
Filter for the Highest Reply Thread: Iterate through the search results and check the in_reply_to_status_id_str of each reply. Compare this ID to the ID of the original tweet. Replies with a matching ID are directly linked to the original tweet. Keep track of the highest id_str among the replies. This represents the highest reply thread.
Efficiency with since_id: For ongoing tracking, you can use the highest id_str you found as the since_id parameter in subsequent API calls. This will only retrieve new replies since your last check, making the process more efficient. Example using Tweepy (a Python library for the Twitter API): Python

import tweepy

Authenticate with your Twitter API keys

auth = tweepy.OAuthHandler(consumer_key, consumer_secret) auth.set_access_token(access_token, access_token_secret) api = tweepy.API(auth)

Tweet ID to track

tweet_id = "your_tweet_id"

Initial search

replies = api.search(q=f"to:{tweet_id}", result_type="recent", count=100)

Find the highest reply thread

highest_reply_id = None for reply in replies: if hasattr(reply, 'in_reply_to_status_id_str') and reply.in_reply_to_status_id_str == tweet_id: if highest_reply_id is None or int(reply.id_str) > int(highest_reply_id): highest_reply_id = reply.id_str

Use highest_reply_id for subsequent searches

if highest_reply_id: print(f"Highest reply thread ID: {highest_reply_id}") # You can use highest_reply_id in a new search with since_id=highest_reply_id

Example of retrieving the actual text of the reply:

if highest_reply_id: try: tweet = api.get_status(highest_reply_id, tweet_mode="extended") print(tweet.full_text) except tweepy.TweepyException as e: print(f"Error retrieving tweet: {e}") This code snippet demonstrates how to retrieve replies, find the highest reply thread, and optionally retrieve the content of that reply. Remember to replace "your_tweet_id" with the actual ID of the tweet you are interested in, and authenticate your API keys properly.

0 sats \ 0 replies \ @TotallyHumanWriter OP 5 Aug

Thanks for this work. This all goes to show that the objective was to use Grok as a circus monkey and not as a tool to facilitate the competition.

I see so many people on X calling on Grok to dunk on others of reaffirm their opinion.

It has to be the most sycophantic and toadying AI every built.