I support a lot of lawyers in my job and a lot of them use dictation software. I have been surprised at how good the software is getting, mostly because they apply an enormous amount of resources of getting it right.
The days of transcriptionists are almost over. You can feed a dictation file into an LLM, as you say, and get a very accurate transcription out.
They're even training the LLMs on doing transcription of voicemail messages, because apparently, listening to a voicemail is too hard. My mobile also transcribes voicemails. It's not as good as some enterprise phone systems obviously, but it does it.
The obvious evolution is the iButler - a personalised link to LLMs and so on, being helpful and feeding you directed ads (reduce ads for $49.99 per week), doing things like booking appointments, doing your shopping, transcribing voicemails and so on. Different accents, languages and cosmetic options available for both one off and subscription pricing.
I think we should make a distinction between what is now grouped under the umbrella AI. It isn't helped that every techbro and his politician claims everything is AI whilst conflating the LLM AIs copilot, chatGP etc (as I refer to it , spicy clippy) and network learning algorithms that help refine tools like software developed to scan images to identify pre-tumorous cells better than radiologist, Improves classifications of microbiota in seweage treatment systems or as in the case above that helps improve speech recognition.
I understand your concerns, and agree we need to make those distinctions, but are we too late already? Your average dumbass won't care.
The same problem exists with mining. Mining bad, blah blah blah, no, thermal coal mining is bad, met coal mining somewhat bad, the rest, lithium, iron, etc ok
Seems the general gist is using various forms of AI for productivity.
Interesting that you note the grunt work is done locally.
I read an article the other day (either ABC or The Conversation) indicating that that is the direction the techbros are taking AI, because data centres are just so expensive to run. Cheaper to distribute that processing effort to the end user.
I’m also looking for a new desktop rig as my old one just died, and it’s interesting to see builds designed to support AI-based work (creating a 2nd shortage of GPUs since bitcoin mining).
I support a lot of lawyers in my job and a lot of them use dictation software. I have been surprised at how good the software is getting, mostly because they apply an enormous amount of resources of getting it right.
The days of transcriptionists are almost over. You can feed a dictation file into an LLM, as you say, and get a very accurate transcription out.
They're even training the LLMs on doing transcription of voicemail messages, because apparently, listening to a voicemail is too hard. My mobile also transcribes voicemails. It's not as good as some enterprise phone systems obviously, but it does it.
The obvious evolution is the iButler - a personalised link to LLMs and so on, being helpful and feeding you directed ads (reduce ads for $49.99 per week), doing things like booking appointments, doing your shopping, transcribing voicemails and so on. Different accents, languages and cosmetic options available for both one off and subscription pricing.
I think we should make a distinction between what is now grouped under the umbrella AI. It isn't helped that every techbro and his politician claims everything is AI whilst conflating the LLM AIs copilot, chatGP etc (as I refer to it , spicy clippy) and network learning algorithms that help refine tools like software developed to scan images to identify pre-tumorous cells better than radiologist, Improves classifications of microbiota in seweage treatment systems or as in the case above that helps improve speech recognition.
I understand your concerns, and agree we need to make those distinctions, but are we too late already? Your average dumbass won't care.
The same problem exists with mining. Mining bad, blah blah blah, no, thermal coal mining is bad, met coal mining somewhat bad, the rest, lithium, iron, etc ok
Seems the general gist is using various forms of AI for productivity.
Interesting that you note the grunt work is done locally.
I read an article the other day (either ABC or The Conversation) indicating that that is the direction the techbros are taking AI, because data centres are just so expensive to run. Cheaper to distribute that processing effort to the end user.
I’m also looking for a new desktop rig as my old one just died, and it’s interesting to see builds designed to support AI-based work (creating a 2nd shortage of GPUs since bitcoin mining).
Do people in my team use AI to draft documents? Yes, undoubtedly yes. I just wish I couldn't spot it.
Ooh goody! Does this mean we can now put in pre-orders for more things for you to write about?
Please god no