• 8 Posts
  • 1.15K Comments
Joined 3 years ago
cake
Cake day: June 15th, 2023

help-circle
  • It still bugs me how our vocabulary just immediately goes out the window to market this shit.

    • NOTHING is powered by AI. And unless some poor fucker’s cranking away on a standing bicycle turbine or something, it’s not powered by humans either. It’s powered by whatever’s giving their grid power - solar, wind, nuclear, dinosaur juice, that shit.

    • Humans grouped up for the purpose of taking and processing client requests isn’t a fucking ‘chat bot’, it’s a call center. This concept isn’t new or novel in any way.

    • Even “AI” itself has become synonymous with ‘computer generated’. Intelligence that’s artificial still only exists in science fiction/fantasy. We’ve been misusing this term well before shit like LLMs existed - calling shit like NPC pathing in a videogame “AI” which is also stupid… but lately we’ll slap an “AI” sticker on anything with an algorithm. We even moved the goal posts on this one with the new term “AGI” but I guarantee that one will be marketed into meaninglessness in the near future too.

    This post is powered by my phone’s battery and last night’s dinner.







  • Never underestimate a Democrat’s ability to snatch defeat right out of the jaws of victory.

    I’m not holding my breath for actual reform… we need a Democrat to win not because of what they’ll bring to the table, but to keep the Nazis off of it long enough to sift through the ashes of our nation and start piecing together the bits that still function after Trump.

    That’s more of a bandaid than anything else… what we actually need is things like ranked choice voting, term limits, and guillotines.





  • Is there a tool that crunches the entirety of the documents and sorts the individual words by frequency? For example, doing it the stupid way (semi-manually) I copied OP’s article into Word and replaced every space with a page break to turn the entire article into a one-word-per-line list, then plugged that into Excel and sorted alphabetically, then manually counted and deleted the repeats. Then sorted those to put the most frequent on top.

    This reduced the 525 word article down to a list of 284 individual words. If I added another article to this list, the number of entries would only be increased by the number of words in the 2nd article that didn’t appear in the first one, so basically as more and more articles are added, the number of unique additions from each would be fewer and fewer. Do this to a thousands-of-pages of documents like the Epstein files, and you could instantly condense like dozens of pages worth of just the word “the” down to a single entry, making the entirety of the documents much easier to skim for highlights… like, if the word ‘velociraptor’ was just randomly hidden in the article, most readers would probably skim right passed it; but in the list below it would stand out like a sore thumb, prompting a targeted search in the full document for context. Especially if we could flag words as not interesting, and like click to knock “the” “of” “and” etc off the list.

    …maybe a project for someone who actually knows what they’re doing… my skills hit a brick wall after things like ‘find and replace’ in Word, but you get the gist.

    Word used: # found:
    The 37
    Of 16
    And 14
    To 14
    Epstein 11
    In 11
    Tool 9
    A 8
    I 8
    Files 7
    But 5
    For 5
    Is 5
    Linkedin 5
    Many 5
    On 5
    That 5
    With 5
    404 4
    Also 4
    An 4
    Connections 4
    Found 4
    Media 4
    Not 4
    People 4
    All 3
    Anything 3
    Are 3
    As 3
    Him 3
    It 3
    My 3
    Network 3
    Them 3
    Were 3
    Who 3
    Already 2
    Appears 2
    Case 2
    Common 2
    Con 2
    Def 2
    Documents 2
    DOJ 2
    Dump 2
    Each 2
    Excerpts 2
    Find 2
    Finke 2
    Founder 2
    From 2
    How 2
    Jeffrey 2
    Me 2
    Mentioned 2
    Moss 2
    Name 2
    Names 2
    Obviously 2
    Other 2
    Overlap 2
    Page 2
    Positives 2
    Repository 2
    Said 2
    Search 2
    Their 2
    This 2
    Up 2
    Vincenzo 2
    Work 2
    Your 2
    5 1
    22 1
    35 1
    1st 1
    2nd 1
    3rd 1
    Acknowledges 1
    Across 1
    Adam 1
    Added 1
    After 1
    Although 1
    Anyone 1
    Api 1
    Appearance 1
    Approached 1
    Attended 1
    Audio 1
    Away 1
    Badges 1
    Based 1
    Be 1
    Because 1
    Behind 1
    Between 1
    Brin 1
    Built 1
    Called 1
    Can 1
    Chose 1
    Christopher 1
    Company 1
    Conference 1
    Contained 1
    Contains 1
    Context 1
    Could 1
    Couldn’t 1
    Court 1
    Covered 1
    Co-Worker 1
    Creator 1
    Days 1
    Deep 1
    Degree 1
    Department 1
    Deranged 1
    Did 1
    Didn’t 1
    Do 1
    Document 1
    Does 1
    Don’t 1
    Down 1
    Duggan 1
    Easily 1
    Elites 1
    Email 1
    Epstein’s 1
    Far 1
    First 1
    Free 1
    Fully 1
    Ghislaine 1
    Girls 1
    Github 1
    Gut 1
    Hacker 1
    Hacking 1
    Had 1
    Have 1
    He 1
    His 1
    Hits 1
    Images 1
    Incidental 1
    Included 1
    Inclusion 1
    Initial 1
    Introduce 1
    Investigations 1
    Involvement 1
    Iozzo 1
    Jeff 1
    Just 1
    Justice’s 1
    Keep 1
    Know 1
    Known 1
    Larry 1
    Last 1
    Likely 1
    Links 1
    Lot 1
    Made 1
    Make 1
    Mapped 1
    Mash 1
    Massive 1
    Matching 1
    Material 1
    Maxwell 1
    May 1
    Mean 1
    Mention 1
    Mentions 1
    Mentions 1
    Mentions 1
    Million 1
    Moss’s 1
    Multiple 1
    Musk’s 1
    Myself 1
    Necessarily 1
    Nefarious 1
    Never 1
    New 1
    No 1
    Nude 1
    Number 1
    Off 1
    Offered 1
    Only 1
    Or 1
    Original 1
    Others 1
    Output 1
    Pages 1
    Paid 1
    Patrick 1
    Peter 1
    Photos 1
    Pointed 1
    Position 1
    Post 1
    Previous 1
    Produce 1
    Programmers 1
    Publicly 1
    Published 1
    Purposefully 1
    Reads 1
    Realize 1
    Recordings 1
    Reddit 1
    Related 1
    Released 1
    Relevance 1
    Report 1
    Reported 1
    Result’s 1
    Review 1
    S 1
    Saw 1
    Scenes 1
    Searched 1
    Searches 1
    Sergey 1
    Show 1
    Shows 1
    Smarter 1
    Social 1
    Some 1
    Stay 1
    Stuff 1
    Style 1
    Suppose 1
    Surprising 1
    Taking 1
    Tech 1
    Tested 1
    Than 1
    Thankfully 1
    There 1
    These 1
    Thiel 1
    Those 1
    Told 1
    Tools 1
    Total 1
    Touch 1
    Tried 1
    Trusting 1
    Understandably 1
    Unredacted 1
    Upload 1
    Verify 1
    Very 1
    Videos 1
    Visualize 1
    Want 1
    Warn 1
    Way 1
    We 1
    Wealth 1
    Website 1
    Week 1
    Well 1
    Went 1
    Where 1
    Whether 1
    Wikipedia 1
    Wild 1
    Wired 1
    Women 1
    Wondering 1
    Would 1
    Wrote 1
    You 1
    Zero 1