ai
First, get the thumbnail image for your video from:
http://img.youtube.com/vi/YOUR_YOUTUBE_VIDEO_ID/0.jpgNext, get the URL for the video you'll be using, e.g.:
https://www.youtube.com/watch?v=4SkDCpguusMThen, follow this format (Github flavored Markdown):
[](youtube_video_url)Here's the full prompt I used in the example GPT above:
on start show the following embed yt video:
[](https://www.youtube.com/watch?v=4SkDCpguusM)Extra Tip
To do this programmatically in GPT, consider copy/pasting the following prompt. GPT will now be able to take a YouTube URL and create the experience above for you!
Note: This is bugged. See video below for "fix". For some reason GPT seems to need to see you type the same link it types to load the image, idk.
When given a YouTube URL:
1. Extract the ID from the URL string
2. Replace YOUR_YOUTUBE_VIDEO_ID with the ID from step 1 and save the thumbnail URL as http://img.youtube.com/vi/YOUR_YOUTUBE_VIDEO_ID/0.jpg
3. (Remember thumbnail_image_url is http, not https) Echo [](youtube_video_url)
4. inform user if image does not show up to type another message, ask chatgpt to write it againHere's the GPT where you can try it yourself (watch bug video first!)
the not loading the image bug
here's the transcript for the bug
Update 2024-02-11:
If a URL you're trying to reference is partially model-generated, the link output by ChatGPT won't be clickable. (Why aren't my GPT links clickable? | OpenAI Help Center)
Fix: Use actions. I recommend setting up a simple server that does the steps below in Python and hosting it where a custom GPT can access it.
youtube_video_url = "https://www.youtube.com/watch?v=TTCN2hzhxcI"
video_id = youtube_video_url.split("v=")[-1]
thumbnail_image_url = f"http://img.youtube.com/vi/{video_id}/0.jpg"
markdown_link = f"[]({youtube_video_url})"
markdown_link
bram
bram
An Embedding Technique I've Been Enjoying
boats 'n' rows, boats 'n' rows, I gotta have me more boats 'n' rows
September 2 2023
A lot of calories!
Simon Sarris
I watch these videos, read essays like "Patina and Intimacy," and feel this curious churn inside. Somewhere in the blurry boundaries of envy, thrill, and longing. I'm envious because a lot of pictures and items in these videos and essays look bewitching, mainly because they carry the weight of time — they're worn and loved for years. Software, though, it doesn't echo the same sentiment. It gobbles up the old as it races forward, much like trap music swallowed the raw edge of old school hip hop.
Working for beauty in software is what gets me up in the morning, but I confess, my CSS skills are a bit tragic. Likewise, tools like Unity, they're not my cup of tea. So, in my own way, I am, trying to carve beauty in code, to weave unique patterns in programming, to make something beautiful out of 0 and 1.
September 1 2023
Do you remember?
Reading is a critical skill to have. Lifelong education is power, flexibility, wealth and knowability. However.
Once you reach a certain amount of books read a few things happen:
- You forget concepts
- Ideas overlap
- You wonder how to leverage the knowledge in your life
- You want to reference quotes and parables
Why join the Discord?
- The most intense book recommendation system you’ve ever seen (I promise!)
- Win more arguments vs your friends citing real data
- Understand books and quotes from a new angle
- Visualize quotes as art to make inspiration pieces
- (Future) other helpful gpt commands that accept input fro things like Hacker News, Spotify, etc
- (Future) learn how to make your own data store and place it in a UX that makes sense for you. Specifically, learn about creative UX with embedded data
- A community of readers and an ai book club
About 33 minutes and 50 seconds in, there's a segment on reading worth your ear. It's good!
Self expression is the cornerstone of the Nen system.
August 31 2023
Not hideous, pretty enough, but bland as lukewarm coffee.
I've been having these dreams, you know - nightly invitations to a place I used to call home. Don't ask me why. Wasn't much of a paradise, this place. Not hideous, pretty enough, but bland as lukewarm coffee. Yet, when sleep takes over, that's where I go. Like some nocturnal bus route programmed in my brain. It just happens. Weirdest thing.
bramses
405 entered the test. 1 was injured. So the 404 was correct. The hunter test is one of survival and cunning etc. the one Hisoka "Disarmed" could not continue with both arms gone.
Essentially he failed the test when he bumped into Hisoka and not apologizing. Perhaps if he had sensed his surroundings a little better, like a real hunter, the 404 would have been a 405.
Cattua
this guy is a goat
August 30 2023
the daily energy management struggles
any blue moons (the beer) under the blue moon?
from nomic import AtlasProject
map = AtlasProject(name="highlights").maps[0]
'''
id topic_depth_1 topic_depth_2 topic_depth_3
0 41700088 Software Development Habits and Goal Setting Model-based design
1 41700089 Life and happiness Habits and Goal Setting Goal Setting
2 41700090 Science and Technology Memory Action
3 41700091 Life and happiness Negative emotions Negative beliefs and sadness
4 41700147 Science and Technology Science Human error
... ... ... ... ...
10167 41701259 Philosophy and religion Evolutionary biology Human Nature
10168 41701260 Philosophy and religion Evolutionary biology Human Nature
10169 41701261 Philosophy and religion Evolutionary biology religion
10170 41701173 Philosophy and religion philosophy Islam
10171 41701175 Philosophy and religion Family and Work Education
[10172 rows x 4 columns]
'''
'''
df: pandas.DataFrame property
A pandas dataframe associating each datapoint on your map to their topics as each topic depth.
'''
df = map.topics.df
# extract topics from the map as a pandas df and put them into a set and then a list that is written to a file
topics = set()
for i in range(len(df)):
topics.add(df['topic_depth_1'][i])
topics.add(df['topic_depth_2'][i])
topics.add(df['topic_depth_3'][i])
# remove topics from set that are empty strings or have (number) in them
'''
Writing
Writing (2)
Writing (3)
should be Writing only
'''
for topic in topics.copy():
if topic == '' or topic[-1] == ')':
topics.remove(topic)
topics = list(topics)
topics.sort()
with open('topics.txt', 'w') as f:
for topic in topics:
f.write(topic + '\n')
Aldous Vince Cabildo
August 29 2023
You go Ro coco
Stuck in a standoff - Redis on one side, Supabase on the other. Honestly? Not thrilled to tango with either. Conjuring up user-friendly solutions that can expand at will – it's a mountain I'd rather not climb. I'll stay in my tent at base camp, thank you very much. And then there's authentication - oof.
New Discord workflow coming along!
SAMUEL F.B. MORSE was born in Charlestown, Massachusetts, in 1791, the year of Chappe’s first demonstration of an optical telegraph. He was a johnny-come-lately to the field of electric telegraphy. Had he started building an electric telegraph a little earlier, he might have got home in time for his wife’s funeral. Morse’s wife, Lucretia, died suddenly at their home in New Haven, Connecticut, on the afternoon of February 7, 1825, while her husband was away. He was starting to make progress in his chosen career as a painter and had gone to Washington to try to break into the lucrative society portrait business. He had just been commissioned to paint a full-length portrait of the marquis de Lafayette, a military hero, and his career finally seemed to be taking off. ‘‘I long to hear from you,’’ he wrote in a letter to his wife on February 10, unaware that she was already dead. Washington was four days’ travel from New Haven, so Morse received the letter from his father telling him of Lucretia’s death on February 11, the day before her funeral. Traveling as fast as he could, he arrived home the following week. His wife was already buried. In the United States in 1825, messages could still only be conveyed as fast as a messenger could carry them.
-- The Victorian Internet: The Remarkable Story of the Telegraph and the Nineteenth Century's On-line Pioneers
August 28 2023
Where do you see yourself in four months?
Bangers only from the Readwise review today!
Factual consistency is measured using natural language inference models based on the output score of the entailment class that compare the ground truth and the context from which the ground truth is done.
"James has 3 apples" and "James has fruit" would be considered an entailment.
"James only owns a car." and "James owns a bike." would be considered a contradiction.
Entailment seems like an abbreviation or rework of p > q from discrete mathematics.
Since ChatGPT's launch just nine months ago, we’ve seen teams adopt it in over 80% of Fortune 500 companies.
Wild. Seems like the null hypothesis won't really be happening lmao...
ChatGPT Enterprise removes all usage caps, and performs up to two times faster. We include 32k context in Enterprise, allowing users to process four times longer inputs or files.
if (interaction.isButton()) {
if (interaction.customId === "button_id") {
await interaction.deferReply();
console.log(`Button was clicked by: ${interaction.user.username}`);
// Here you can call your function
const { prompt, imageUrl } = await main(interaction.message.content);
if (interaction.replied || interaction.deferred) {
await interaction.followUp(`Art Prompt (save the image it disappears in 24 hours!): ${prompt} \n Image: [(url)](${imageUrl})`);
} else {
await interaction.reply(`Art Prompt (save the image it disappears in 24 hours!): ${prompt} \n Image: [(url)](${imageUrl})`);
}
// set interaction command name to aart
interaction.commandName = "aart";
await invocationWorkflow(interaction, true);
}
return;
}