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▲ ilaksh 6 hours ago

Since it's brand new there are going to be a lot of subpar solutions on the market. When SSDs first came out, there were only a few models that were actually reliable.

It is relatively easy to create and deploy a transcription model. It's pretty hard to find one that is really accurate and to configure it with a good microphone setup and pair that with a fast but also intelligent LLM to clean things up. If you execute any of that poorly or pick a cheap not very smart model for privacy and or cost saving you could easily end up with nonsense.

▲malfist 5 hours ago | parent | next [-]

That's great and all but maybe shoving AI into medical settings when it isn't ready isn't the right thing to do

▲FeepingCreature 5 hours ago | parent [-]

Sure but this doesn't answer whether medical systems will see a lift from using AI.

(They will. It's very well suited to it, once the garbage gets filtered out. It's not like it's a scam as a whole, it's just a field that's very scammy rn.)

▲malfist an hour ago | parent [-]

How have you determined AI is well suited to healthcare?

▲dweinus 5 hours ago | parent | prev | next [-]

I'm not a hard drive. Human care requires higher standards. Ignoring that is to put profit above human safety.

▲queenkjuul 4 hours ago | parent | prev [-]

Seems like i should be very grateful that i don't live in the bay area and you don't work for my doctor's IT department