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Cake day: 2023年7月15日

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  • A compelling moral argument could be made in the case where they have human sexual partners; I would not consider having sex with road kill to be especially safe from a communicable disease standpoint, and engaging in this behavior endangers the partner’s life.

    I’m willing to bet the partner doesn’t know, too.

    That said, pretty sure the whole spilling seed things comes from a pretty blatant misunderstanding of genesis 38:8–10. It’s part of the story of Judah and Tamar.

    Tamar was given to Er- Judah’s first son, who got offed by god for some undisclosed wickedness.so Judah tells his other son- Onan- to fulfill his obligation as Er’a brother and get Tamar preggers.

    The idea here is that Onan would give Er and heir, who would inherit most of Judah’s shit. Onan, being not entirely stupid understood that if Tamar never gave birth to a son, then the greedy fuck would instead inherit Judah’s shit.

    So Onan gamed the system with his pull out game, and god was like, “you little shit!” And smoked the greedy fucker. It had nothing to do with Onan pulling out and everything to do with him being greedy. If he tried the rhythm method, he’d have still gotten smoked…

    And all this because the best social safety nets for single mother’s they could come up with was “hey. If the brother gets her pregnant, a son could be an heir and then she could take care of everything until the son is old enough!” Because women were property and couldn’t inherit anything.


  • I’d like to see the source that says Dragon’s WER in the 90s was 3-5%. I used Dragon in the 2000s and it just wasn’t comparable to the current state of the art.

    https://dragon-medical-transcription.com/history_speech_recognition.html, for example. a lot of adverts and awards were given to it (admittedly awards like PC Mag that were probably paid advertising… but that’s why I went with Open AI’s assessment on whisper at 2%.) Dragon was boasting 99% accuracy after (admittedly months) of training; and it frequently reached it. there were some gotchas in that- the months-long training was a big one. The other was that you frequently had to slow down and be careful to enunciate that you don’t have to do with modern systems (including the MS versions of Dragon- they bought it out at some point)

    whisper.cpp is an opensource implementation, although I’m not certain exactly how open.

    It’s on the MIT license, if that helps. I take issue with anything OpenAI is involved in. for oh-so-many reasons.





  • You’re only partially correct about input speed. If you want to dictate an email then yes you need to think about each word you want to say and the order in which to say them. Coupled with an LLM that problem is diminished because you can just kind of have a conversation with the LLM and tell it to draft an email.

    and how much of that conversation with an LLM is “No, what I want is…” because it assumed something; or just straight up hallucinated or the typo made it go off on a tangent?

    As for whisper, I can find sources that are saying for American-English speakers in a not-noisy environment (aka the best case scenario,) the model has a word error rate between 2-8%. For reference, Dragon NaturallySpeaking had a WER of 3-5%. So I wouldn’t say that Whisper has made any substantial improvements, and they’re OpenAi. you can trust them if you want. I don’t think that’ll work out well in the long run, though.