home.social

#incorrect — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #incorrect, aggregated by home.social.

  1. ポイズン雷花の哲学その二
    「[話しは気になる壱フレーズ聞いて、聞いたつもりになる物では無い。
     最初から最後まできちんと聞く物です。]」

    note.com/poison_raika/n/naccde

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  2. ポイズン雷花の哲学その二
    「[話しは気になる壱フレーズ聞いて、聞いたつもりになる物では無い。
     最初から最後まできちんと聞く物です。]」

    note.com/poison_raika/n/naccde

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  3. ポイズン雷花の哲学その二
    「[話しは気になる壱フレーズ聞いて、聞いたつもりになる物では無い。
     最初から最後まできちんと聞く物です。]」

    note.com/poison_raika/n/naccde

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  4. ポイズン雷花の哲学その二
    「[話しは気になる壱フレーズ聞いて、聞いたつもりになる物では無い。
     最初から最後まできちんと聞く物です。]」

    note.com/poison_raika/n/naccde

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  5. Філософія Poison_Raika Частина 2
    「[Говорити—це не те, що, як ви думаєте, ви чули, слухаючи фразу, яка вас турбує].
     Це те, що ви слухаєте від початку до кінця. ]」

    note.com/poison_raika/n/n2be8c

    <>

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  6. Філософія Poison_Raika Частина 2
    「[Говорити—це не те, що, як ви думаєте, ви чули, слухаючи фразу, яка вас турбує].
     Це те, що ви слухаєте від початку до кінця. ]」

    note.com/poison_raika/n/n2be8c

    <>

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  7. Філософія Poison_Raika Частина 2
    「[Говорити—це не те, що, як ви думаєте, ви чули, слухаючи фразу, яка вас турбує].
     Це те, що ви слухаєте від початку до кінця. ]」

    note.com/poison_raika/n/n2be8c

    <>

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  8. Філософія Poison_Raika Частина 2
    「[Говорити—це не те, що, як ви думаєте, ви чули, слухаючи фразу, яка вас турбує].
     Це те, що ви слухаєте від початку до кінця. ]」

    note.com/poison_raika/n/n2be8c

    <>

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  9. ポイズン雷花の哲学その二
    「[話しは気になる壱フレーズ聞いて、聞いたつもりになる物では無い。
     最初から最後まできちんと聞く物です。]」

    note.com/poison_raika/n/naccde

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  10. ポイズン雷花の哲学その二
    「[話しは気になる壱フレーズ聞いて、聞いたつもりになる物では無い。
     最初から最後まできちんと聞く物です。]」

    note.com/poison_raika/n/naccde

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  11. ポイズン雷花の哲学その二
    「[話しは気になる壱フレーズ聞いて、聞いたつもりになる物では無い。
     最初から最後まできちんと聞く物です。]」

    note.com/poison_raika/n/naccde

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  12. ポイズン雷花の哲学その二
    「[話しは気になる壱フレーズ聞いて、聞いたつもりになる物では無い。
     最初から最後まできちんと聞く物です。]」

    note.com/poison_raika/n/naccde

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  13. Філософія Poison_Raika Частина 2
    「[Говорити—це не те, що, як ви думаєте, ви чули, слухаючи фразу, яка вас турбує].
     Це те, що ви слухаєте від початку до кінця. ]」

    note.com/poison_raika/n/n2be8c

    <>

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  14. Філософія Poison_Raika Частина 2
    「[Говорити—це не те, що, як ви думаєте, ви чули, слухаючи фразу, яка вас турбує].
     Це те, що ви слухаєте від початку до кінця. ]」

    note.com/poison_raika/n/n2be8c

    <>

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  15. Філософія Poison_Raika Частина 2
    「[Говорити—це не те, що, як ви думаєте, ви чули, слухаючи фразу, яка вас турбує].
     Це те, що ви слухаєте від початку до кінця. ]」

    note.com/poison_raika/n/n2be8c

    <>

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  16. Філософія Poison_Raika Частина 2
    「[Говорити—це не те, що, як ви думаєте, ви чули, слухаючи фразу, яка вас турбує].
     Це те, що ви слухаєте від початку до кінця. ]」

    note.com/poison_raika/n/n2be8c

    <>

    #poison #philosophy #conversation #hear #catches #eye #listen #carefully #end #cool #answer #question #happen #fact #simple #understand #incorrect #perception #information #time #situation #given #different #fake #disaster

  17. And then when I discovered such amazing things in there that they weren't talking about I was confused. No it wasn't, but I was no longer #held #hostage by their #incorrect #understandings of judgment. But it seems that I don't do it right for some people and it can be divisive for others. I'm good.

  18. A quotation from Moliere

    DANDIN: It infuriates me to be wrong when I know I’m right.
     
    [J’enrage de bon cœur d’avoir tort, lorsque j’ai raison.]

    Molière (1622-1673) French playwright, actor [stage name for Jean-Baptiste Poquelin]
    George Dandin, or the Confounded Husband [oui le Mari confondu], Act 1, sc. 7 (1668)

    More info about (and translations of) this quote: wist.info/moliere/2876/

    #quote #quotes #quotation #qotd #moliere #georgedandin #ego #error #frustration #incorrect #righteousness #selfrighteousness #wrong

  19. A quotation from Moliere

    DANDIN: It infuriates me to be wrong when I know I’m right.
     
    [J’enrage de bon cœur d’avoir tort, lorsque j’ai raison.]

    Molière (1622-1673) French playwright, actor [stage name for Jean-Baptiste Poquelin]
    George Dandin, or the Confounded Husband [oui le Mari confondu], Act 1, sc. 7 (1668)

    More info about (and translations of) this quote: wist.info/moliere/2876/

    #quote #quotes #quotation #qotd #moliere #georgedandin #ego #error #frustration #incorrect #righteousness #selfrighteousness #wrong

  20. A quotation from Moliere

    DANDIN: It infuriates me to be wrong when I know I’m right.
     
    [J’enrage de bon cœur d’avoir tort, lorsque j’ai raison.]

    Molière (1622-1673) French playwright, actor [stage name for Jean-Baptiste Poquelin]
    George Dandin, or the Confounded Husband [oui le Mari confondu], Act 1, sc. 7 (1668)

    More info about (and translations of) this quote: wist.info/moliere/2876/

    #quote #quotes #quotation #qotd #moliere #georgedandin #ego #error #frustration #incorrect #righteousness #selfrighteousness #wrong

  21. A quotation from Moliere

    DANDIN: It infuriates me to be wrong when I know I’m right.
     
    [J’enrage de bon cœur d’avoir tort, lorsque j’ai raison.]

    Molière (1622-1673) French playwright, actor [stage name for Jean-Baptiste Poquelin]
    George Dandin, or the Confounded Husband [oui le Mari confondu], Act 1, sc. 7 (1668)

    More info about (and translations of) this quote: wist.info/moliere/2876/

    #quote #quotes #quotation #qotd #moliere #georgedandin #ego #error #frustration #incorrect #righteousness #selfrighteousness #wrong

  22. Mike Brandly, Auctioneer Blog @mikebrandlyauctioneer.wordpress.com@mikebrandlyauctioneer.wordpress.com ·

    Can anyone believe anything?

    In the auction world and beyond, trust is essential. Bidders rely on an auctioneer’s statements, and consumers navigate news and social media, yet the question remains: can anyone believe anything anymore? Auctioneers frequently use disclaimers, making it hard to know what is reliable. While I may have criticized this in the past, the ongoing spread of misinformation makes revisiting the topic important. Spending time online reading posts, following news, and checking sports updates makes […]

    mikebrandlyauctioneer.wordpres

  23. Mike Brandly, Auctioneer Blog @mikebrandlyauctioneer.wordpress.com@mikebrandlyauctioneer.wordpress.com ·

    Can anyone believe anything?

    In the auction world and beyond, trust is essential. Bidders rely on an auctioneer’s statements, and consumers navigate news and social media, yet the question remains: can anyone believe anything anymore? Auctioneers frequently use disclaimers, making it hard to know what is reliable. While I may have criticized this in the past, the ongoing spread of misinformation makes revisiting the topic important. Spending time online reading posts, following news, and checking sports updates makes […]

    mikebrandlyauctioneer.wordpres

  24. Mike Brandly, Auctioneer Blog @mikebrandlyauctioneer.wordpress.com@mikebrandlyauctioneer.wordpress.com ·

    Can anyone believe anything?

    In the auction world and beyond, trust is essential. Bidders rely on an auctioneer’s statements, and consumers navigate news and social media, yet the question remains: can anyone believe anything anymore? Auctioneers frequently use disclaimers, making it hard to know what is reliable. While I may have criticized this in the past, the ongoing spread of misinformation makes revisiting the topic important. Spending time online reading posts, following news, and checking sports updates makes […]

    mikebrandlyauctioneer.wordpres

  25. Mike Brandly, Auctioneer Blog @mikebrandlyauctioneer.wordpress.com@mikebrandlyauctioneer.wordpress.com ·

    Can anyone believe anything?

    In the auction world and beyond, trust is essential. Bidders rely on an auctioneer’s statements, and consumers navigate news and social media, yet the question remains: can anyone believe anything anymore? Auctioneers frequently use disclaimers, making it hard to know what is reliable. While I may have criticized this in the past, the ongoing spread of misinformation makes revisiting the topic important. Spending time online reading posts, following news, and checking sports updates makes […]

    mikebrandlyauctioneer.wordpres

  26. Mike Brandly, Auctioneer Blog @mikebrandlyauctioneer.wordpress.com@mikebrandlyauctioneer.wordpress.com ·

    Can anyone believe anything?

    In the auction world and beyond, trust is essential. Bidders rely on an auctioneer’s statements, and consumers navigate news and social media, yet the question remains: can anyone believe anything anymore? Auctioneers frequently use disclaimers, making it hard to know what is reliable. While I may have criticized this in the past, the ongoing spread of misinformation makes revisiting the topic important. Spending time online reading posts, following news, and checking sports updates makes […]

    mikebrandlyauctioneer.wordpres

  27. On "AI"...

    I finally had an opportunity to personally evaluate the output of an #LLM that was asked to do a technical evaluation / summary of the state of an industry. A friend asked a modern model about a particular #technical field and asked it to summarize various aspects of it. It happened to involve supercomputing, which I have some knowledge of, and he asked me to look at the answer it gave.

    It was a detailed writeup, a little over 1300 words. It had the structure of the kind of document he'd asked it to create, with appropriate sections, headers, with the information divided up sensibly, etc. It very much sounded like the type of thing you would expect a computer science #expert to respond with if asked the same question.

    But some of the specific points in the answers were obviously wrong to me. Some I suspected were wrong. Some I didn't know. So I checked. I didn't check every fact and figure, but a decent number of them - and every single one I checked was flat-out wrong. It gave specific numbers or attributes for many aspects of the state of the #tech, and they were all wrong. Sometimes badly #wrong, and some stupendously wrong.

    There were only a couple of things in the text that were obviously inconsistent, so unless you happened to already know something about the subject, there was almost no hint of how incorrectly it stated the facts. And of course it sounded supremely confident.

    1/2

    #AI #fact #incorrect #GIGO #garbage #model

  28. On "AI"...

    I finally had an opportunity to personally evaluate the output of an #LLM that was asked to do a technical evaluation / summary of the state of an industry. A friend asked a modern model about a particular #technical field and asked it to summarize various aspects of it. It happened to involve supercomputing, which I have some knowledge of, and he asked me to look at the answer it gave.

    It was a detailed writeup, a little over 1300 words. It had the structure of the kind of document he'd asked it to create, with appropriate sections, headers, with the information divided up sensibly, etc. It very much sounded like the type of thing you would expect a computer science #expert to respond with if asked the same question.

    But some of the specific points in the answers were obviously wrong to me. Some I suspected were wrong. Some I didn't know. So I checked. I didn't check every fact and figure, but a decent number of them - and every single one I checked was flat-out wrong. It gave specific numbers or attributes for many aspects of the state of the #tech, and they were all wrong. Sometimes badly #wrong, and some stupendously wrong.

    There were only a couple of things in the text that were obviously inconsistent, so unless you happened to already know something about the subject, there was almost no hint of how incorrectly it stated the facts. And of course it sounded supremely confident.

    1/2

    #AI #fact #incorrect #GIGO #garbage #model

  29. On "AI"...

    I finally had an opportunity to personally evaluate the output of an #LLM that was asked to do a technical evaluation / summary of the state of an industry. A friend asked a modern model about a particular #technical field and asked it to summarize various aspects of it. It happened to involve supercomputing, which I have some knowledge of, and he asked me to look at the answer it gave.

    It was a detailed writeup, a little over 1300 words. It had the structure of the kind of document he'd asked it to create, with appropriate sections, headers, with the information divided up sensibly, etc. It very much sounded like the type of thing you would expect a computer science #expert to respond with if asked the same question.

    But some of the specific points in the answers were obviously wrong to me. Some I suspected were wrong. Some I didn't know. So I checked. I didn't check every fact and figure, but a decent number of them - and every single one I checked was flat-out wrong. It gave specific numbers or attributes for many aspects of the state of the #tech, and they were all wrong. Sometimes badly #wrong, and some stupendously wrong.

    There were only a couple of things in the text that were obviously inconsistent, so unless you happened to already know something about the subject, there was almost no hint of how incorrectly it stated the facts. And of course it sounded supremely confident.

    1/2

    #AI #fact #incorrect #GIGO #garbage #model

  30. On "AI"...

    I finally had an opportunity to personally evaluate the output of an #LLM that was asked to do a technical evaluation / summary of the state of an industry. A friend asked a modern model about a particular #technical field and asked it to summarize various aspects of it. It happened to involve supercomputing, which I have some knowledge of, and he asked me to look at the answer it gave.

    It was a detailed writeup, a little over 1300 words. It had the structure of the kind of document he'd asked it to create, with appropriate sections, headers, with the information divided up sensibly, etc. It very much sounded like the type of thing you would expect a computer science #expert to respond with if asked the same question.

    But some of the specific points in the answers were obviously wrong to me. Some I suspected were wrong. Some I didn't know. So I checked. I didn't check every fact and figure, but a decent number of them - and every single one I checked was flat-out wrong. It gave specific numbers or attributes for many aspects of the state of the #tech, and they were all wrong. Sometimes badly #wrong, and some stupendously wrong.

    There were only a couple of things in the text that were obviously inconsistent, so unless you happened to already know something about the subject, there was almost no hint of how incorrectly it stated the facts. And of course it sounded supremely confident.

    1/2

    #AI #fact #incorrect #GIGO #garbage #model

  31. On "AI"...

    I finally had an opportunity to personally evaluate the output of an #LLM that was asked to do a technical evaluation / summary of the state of an industry. A friend asked a modern model about a particular #technical field and asked it to summarize various aspects of it. It happened to involve supercomputing, which I have some knowledge of, and he asked me to look at the answer it gave.

    It was a detailed writeup, a little over 1300 words. It had the structure of the kind of document he'd asked it to create, with appropriate sections, headers, with the information divided up sensibly, etc. It very much sounded like the type of thing you would expect a computer science #expert to respond with if asked the same question.

    But some of the specific points in the answers were obviously wrong to me. Some I suspected were wrong. Some I didn't know. So I checked. I didn't check every fact and figure, but a decent number of them - and every single one I checked was flat-out wrong. It gave specific numbers or attributes for many aspects of the state of the #tech, and they were all wrong. Sometimes badly #wrong, and some stupendously wrong.

    There were only a couple of things in the text that were obviously inconsistent, so unless you happened to already know something about the subject, there was almost no hint of how incorrectly it stated the facts. And of course it sounded supremely confident.

    1/2

    #AI #fact #incorrect #GIGO #garbage #model

  32. A quotation from Nasim Nicholas Taleb

    But it remains the case that you know what is wrong with a lot more confidence than you know what is right.

    Nassim Nicholas Taleb (b. 1960) Lebanese-American essayist, statistician, risk analyst, aphorist
    The Black Swan, Part 1, ch. 5 “Confirmation Shmonfirmation!” (2007)

    Sourcing, notes: wist.info/taleb-nassim-nichola…

    #quote #quotes #quotation #qotd #confidence #correct #incorrect #judgment #knowledge #right #wrong #accuracy #blackswan

  33. A quotation from Nasim Nicholas Taleb

    But it remains the case that you know what is wrong with a lot more confidence than you know what is right.

    Nassim Nicholas Taleb (b. 1960) Lebanese-American essayist, statistician, risk analyst, aphorist
    The Black Swan, Part 1, ch. 5 “Confirmation Shmonfirmation!” (2007)

    Sourcing, notes: wist.info/taleb-nassim-nichola…

    #quote #quotes #quotation #qotd #confidence #correct #incorrect #judgment #knowledge #right #wrong #accuracy #blackswan