Prompt : 43.489627631627631627631 (627631 repeating decimal) as P/Q
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Hard-to-find tips on otherwise easy-to-do tasks involving everyday technology, with some advanced insight on history and culture thrown in. Brought to you by a master dabbler. T-S T-S's mission is to boost your competitiveness with every visit. This blog is committed to the elimination of the rat from the tree of evolution and the crust of the earth.
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https://socialintelligence.labinthewild.org/mite
Given descriptions of people, learn how good you are at finding optimal physical activities for them. Compare yourself to others! This study takes around 12 minutes. Try it!
Take this 10 minute test, find out and compare yourself to others. Try it!
What is your decision-making style? Take this 8-minute test to find out! Try it!
How well can you visualize objects in space? Find out and compare yourself to others.
The test typically takes 15 minutes. Try it!
Two years ago, Wharton neuroscience postdoctoral fellow Feng Sheng and I gathered groups of smartphone users to see if they had an emotional and social connection with their brand.
(they used fMRI to observe brain activity)
Apple users showed empathy for their own brand: The reward-related areas of the brain were activated by good news about Apple, and the pain and negative feeling parts of the brain were activated by bad news, they were neutral about any kind of Samsung news. This is exactly what we see when people empathize with other people—particularly their family and friends—but don't feel the joy and pain of people they don’t know.
Samsung users, on the other hand, showed no increased activity in either area when they were shown positive and negative news about their brand. Interestingly, though, the pain areas were activated by good news about Apple, and the reward areas were activated by bad news about the rival company — some serious schadenfreude, or “reverse empathy.”
If I were the Chief Marketing Officer of Samsung, I would be worried. Samsung customers' brains tell us they’re just not that socially and emotionally connected to the brand, and that makes the company much more vulnerable to a potential competitor (just as a weak workplace culture can lead to higher turnover).
It claims to be happy with a URL. Try it and you find it doesn't do much - in fact, nothing at all..
So, what *can* you do?
Download the website - say it's one of those ancient online books with a TOC and Previous/Next buttons on each page. Use httrack.
Then, use this script (click to select) to (since Notebook LM takes markdown) pull the text from each page *meaningfully*. That is, you're saying Notebook LM is smart enough to make something out of headings. Else, you could just give it text. Ja? :)
Yes, you might need to ask chatGPT for a bash script to put all the text files into one - since N LM says something about a 50 file limit.
Then, just upload the files from this destination directory and you're ready to start chatting with your data. It does work!import sys import os import html2text def convert_html_to_text(input_path, output_path): # Read the HTML content from the input file try: with open(input_path, "r", encoding="utf-8") as infile: html_content = infile.read() except FileNotFoundError: print(f"Error: The file '{input_path}' was not found.") sys.exit(1) except Exception as e: print(f"Error reading the file '{input_path}': {e}") sys.exit(1) # Convert HTML to text text_maker = html2text.HTML2Text() text_maker.ignore_links = True # Optional: Ignore links in the output text = text_maker.handle(html_content) # Write the plain text to the output file try: with open(output_path, "w", encoding="utf-8") as outfile: outfile.write(text) print(f"Text successfully written to '{output_path}'.") except Exception as e: print(f"Error writing to the file '{output_path}': {e}") sys.exit(1) if __name__ == "__main__": # Ensure correct usage if len(sys.argv) != 3: print("Usage: python html2text_converter.py <input_file> <output_file_or_directory>") sys.exit(1) # Get command-line arguments input_file = sys.argv[1] output_arg = sys.argv[2] # Check if input file exists if not os.path.isfile(input_file): print(f"Error: The input file '{input_file}' does not exist.") sys.exit(1) # Determine output path if os.path.isdir(output_arg): # If output_arg is a directory, create the output file path output_file = os.path.join( output_arg, os.path.splitext(os.path.basename(input_file))[0] + ".md" ) else: # If output_arg is a file, use it directly output_file = output_arg # Perform conversion convert_html_to_text(input_file, output_file)And then:
$ for fil in download_folder_name/www.websitename.com/somefolder/text/*.html ; do python3 script.py $fil destination_dir; done
By the end of this course, you will be equipped with the basic knowledge to understand dis-assembled code and be able to modify exe files, to insert new instructions and inject new functionality to any exe files. (using x64dbg)