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0 sats \ 0 replies \ @karanjbhatia 24 Aug \ on: Inauguration of a bakery Photography
Why not color photos for that nice golden brown look of the bread?
Not too shabby. At least you tested out Coding just by prompts (I hate saying Vibe-Coding), and produced a working game in quick time!
But it would be better if there was a way to Time Lock BTC held by yourself, somehow in Bitcoin Core or Knots or whatever. Why use another service. The idea of preventing even oneself from accessing your BTC before a certain time (forced HODL) seems based though.
Stakwork.com used to be great, i was earning 20k sats a day doing simple tasks, now it's a ghost town (for my account at least, maybe others are still getting tasks). Are any of you getting tasks there?
There's a lot of conspiracy lore in the hexagon area. I'm just guessing that a lot of bitcoiners/miners would be aware of that and see this Proto brand with the hexagon logo antagonistically.
Hmm, it seems to have gone sideways. Organizer should have used AI privately and immediately announced results and THEN declared that he used AI to judge.
It seems the organizer has decided the winners and might pay soon:
https://x.com/bradmillscan/status/1954247935048200655
There are very few avenues to earn bitcoin. I'd like to know of places that pay bitcoin. But nothing stops a person from saving a part of their income/salary received in fiat, and convert it to bitcoin every month.
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.
To be fair, the entries are a clusterfuck, and almost impossible to judge manually. Both Grok and Perpexlity don't seem to be smart enough to do it either (because it IS complicated, there are various "forks" within "forks"). Basically, the idea was bad from the start, everyone adding one bit to the story rarely leads to a good outcome. How many of the threads have "finished" a story, i bet none or almost negligible from the total ones. Each tweet/turn takes the story to bizarre territory without a common thread. It is better to do the "entire story by one person" type contests such as the currently ongoing [FM] contest in Books Literature.
Here is the script in PDF version https://limewire.com/d/bWbY3#KrkiMMIOK0
10 sats \ 0 replies \ @karanjbhatia OP 1 Aug \ parent \ on: [FM] The Return Of Satoshi BooksAndArticles
It's formatted (central alignment, courier font, like a screenplay) in the Google Doc. You don't need a google account to read it, i think.