Earlier quoted context omitted.
[flagged]
Life's not a competition...
According to him, it is.
Who are we to question our betters?
Work, fool.
Work until you die so that your heirs may destroy themselves fighting over the pile of shit you heaped up.
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Earlier quoted context omitted.
[flagged]
Life's not a competition...
According to him, it is.
Who are we to question our betters?
Work, fool.
Work until you die so that your heirs may destroy themselves fighting over the pile of shit you heaped up.
My workflow involves setting up a whisper server, downloading the Whispering(1) app on my computer, and binding it to a shortcut on my keyboard and mouse. Whenever I want to write something down, I just hit the shortcut, dictate and it transcribes instantly. With a Nvidia GPU (1070 in my case), transcription is nearly instantaneous. Although I haven’t set it up on my MacBook yet, I suspect it will be just as fast with Apple Silicon
(1) https://github.com/braden-w/whispering/
You can also use an API like grok, but I'm generally wary of such services.
I'm a bit of an introvert, so I found talking out loud to be awkward at first. But now I can't go back to regular typing, given the efficiency gains.
You have no idea how many times you use it. Maps? Recommendation systems (the algo)? Other optimizations? BTW, to the best of my knowledge, dictation still has a high error rate.
I used to work correcting AI transcriptions. There is only so much AI can do because it currently lacks in certain domain knowledge. The worst one I ever had to fix was ESPN captions of commentary for some indoor motorcross thing with dirt bikes going around a track. First, the motorbike noise, but secondly, the commentators were using the (well known to fans) nicknames for all the riders, which the AI had no idea ho…
I don't understand what he's using it for. I'm using it maybe a few times on a busy day, and half of those fail to achieve anything useful.
He's using it for text entry (hence all the mentions of dictation).
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A few words per...?
It depends on the audio quality. Artificial Analysis says Whisper 3 has a 10% word error rate, although it typically does better than that in my experience. When I use Whisper 2 in the ChatGPT app it usually gets 2 or 3 words wrong per paragraph of prompt.
Once every 36 seconds? Even for simple transcription, that seems insane. This reads like the hustle culture memes... 2:00am wake up 2:05am cold shower 2:15am breakfast: almonds, breast milk bought off facebook, 50mg adderal 2:30am begin transcribing thoughts into the machine
"I tracked my Sunday work day" - that's all I needed to skip this one lol.
Once every 36 seconds? Even for simple transcription, that seems insane. This reads like the hustle culture memes... 2:00am wake up 2:05am cold shower 2:15am breakfast: almonds, breast milk bought off facebook, 50mg adderal 2:30am begin transcribing thoughts into the machine
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> I can generate several hundred lines of code in 5-10 minutes. With the newer models, I expect this to collapse to 1-2 minutes.
It seems main usage is to make plots with R... Which is funny as the bar chart on the page can be done in Excel/Numbers/Sheets by entering a few numbers and headers.
> In fact, I find myself growing reliant on the AI to the extent that I no longer remember some of the R syntax, A sign of working at a higher level of abstraction : one of the promises of AI. Polar opposite of what I want to happen to me. There's joy in knowing one's tools.
Working at a higher level of abstraction while loosing knowledge at the lower level also means by some degree that one is going to be reliant on the abstraction without any understanding what is abstracted away.