- cross-posted to:
- programmerhumor@lemmy.ml
- cross-posted to:
- programmerhumor@lemmy.ml
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This is fox news levels of propaganda but on the left
I missed the political point to the post
Before I read the text I thought this was a photo of a stenographer; they used those or similar in depositions I’ve given.
This looks uncomfortable and humiliating. Now if they were to make it in the form of a suppository…
It’s lazy enough to vibe code, but when you’re too lazy to even type a prompt…sheeeesh
A noise cancelling microphone isn’t a terrible invention though.
I’ve seen those things 10 years ago when somebody was helping a deaf student in university. Used one of those things to talk to a text to speech engine during the lecture. Seemed to work quite well.
They suck, you can’t get air into them without destroying the noise cancelling part so you’ve got to constantly be taking it off to take a breath / running out of oxygen mid sentence
You talk with your nose?
Thats true this is just the absolute worst use case scenario i can think of
Holy shit they’re real
People all over the world make good livings at jobs you’ve never heard of, or imagined existed. Jobs that will not be done by machines anytime soon.
Maybe not though. If the biggest companies in the US are discovering AI is more expensive than paying US based employees, AI is certainly more expensive than paying employees in most other parts of the world too.
I love the implication that he’s speaking to the AI and wants to not disturb people, but has no headphones on. so I can only assume it’s responding from the speakers.
note
Yes, I know it could be responding over text instead of voice.
Which I think it is even more funny, why not just type them if is not a full audio back and forth.
I got subpoenaed once and the stenographer used one of these.
Started hating working in tech a year ago and got out.
What’d you move to?
Retired and living from investments. I’m 51 so was working in tech for a long time.
Start investing if you aren’t.
Techbros will have workers do anything but work from home.
Or have single-person offices instead of an open space
You mean cubicles?
Now I gotta rewatch Severance!You will love the Open Space Farm.
I just cannot tell if this is satire or not
Mate they could just type out the prompt instead of dictating with the vader mask.
Welcome to clown world!
Back in the day there used to be specialized equipment for this purpose called an office, of which you had your own and could close the door to
That’s for management though, the lackeys are kept in cubicles, or the isocubes if they misbehave.
If YouTube’s automated subtitles are anything to go by, it’ll randomly start thinking I’m speaking Vietnamese.
Isn’t it cheaper and quieter to just type out your prompts?
This is akin to people who have conversations on speakerphone in public places.
Older people such as myself tend to hate voice-to-text I think because it was so awful in the past. And if you screwed up with it in the past it was a less understandable excuse that “I was using voice-to-text.” And because we were all forced in some way to learn to type well.
Voice to text works a little bit better now. And I think younger people know everyone else uses it and to forgive when it screws up.
I hate it because it’s generally intensely US-centric. Not understanding non-US accents or terms.
you assume that vibe-coders can actually touch type. or type at all.
I assumed they were all working from their iphones
AI needs to measure the level of confidence in your voice, to calibrate its bullshit accordingly
Speaking is faster than typing, I guess?
Maybe for Eminem.
apparently audio and images are more efficient compared to text for multimodal models?
I’m going to need significant levels of convincing. Computers have always preferred specificity and accuracy, it’s half the reason I’m in my current position (MSP Escalations/level 3, half of my success at fixing issues is being extremely specific in looking up exact error messages instead of paraphrasing).
This isn’t a defense of AI; on the contrary, it’s my doubt that AI can read intentions/inflection/emotion better than just writing out what you actually want.
LLMs don’t need accuracy. This just boils down to speaking being faster than typing, especially if your thought isn’t fully formulated.
Deepseek recently published a paper in which they describe that vision tokens contain more information than text tokens and that this can be used to compress context.
We present DeepSeek-OCR as an initial investigation into the feasibility of compressing long contexts via optical 2D mapping.
Experiments show that when the number of text tokens is within 10 times that of vision tokens (i.e., a compression ratio < 10×), the model can achieve decoding (OCR) precision of 97%. Even at a compression ratio of 20×, the OCR accuracy still remains at about 60%. This shows considerable promise for research areas such as historical long-context compression and memory forgetting mechanisms in LLMs.
It reminds me of LLM caveman speak, it used to have another option to use Chinese instead of English. A language like Chinese is seemingly better at encoding information in fewer tokens and I think this is the same mechanism why OCR tokens work so well.
That said, I also doubt that voice messages are more efficient than text prompts, but it’s best not to waste too much time engaging with these sorts of LinkedIn posts (and LinkedIn in general).
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As far as I know, these workflows typically involve a transcription model to convert the audio to text, and then passing the text to the model.
