I think the biggest obstacle to implementation in most areas is going to be the consumer/patient, etc.
Look at the pushback McDonalds got for their self ordering kiosks a while back before people finally accepted them. Some people still refuse to use self-checkout in a grocery store. If you think the older generation is going to be happy describing all their symptoms to a machine, only to have it give back the wrong information or confuse them with its summary of their symptoms, I think you have more faith than I do.
I think the technology might be there in 2-5 years in a lot of industries. I think the adoption and then consumer adoption is going to take longer before people are comfortable with it. That's without even taking into consideration people's view of spending their money at businesses that use AI, after AI replaces their own job.
I think the biggest obstacle to implementation in most areas is going to be the consumer/patient, etc.
Look at the pushback McDonalds got for their self ordering kiosks a while back before people finally accepted them. Some people still refuse to use self-checkout in a grocery store. If you think the older generation is going to be happy describing all their symptoms to a machine, only to have it give back the wrong information or confuse them with its summary of their symptoms, I think you have more faith than I do.
I think the technology might be there in 2-5 years in a lot of industries. I think the adoption and then consumer adoption is going to take longer before people are comfortable with it. That's without even taking into consideration people's view of spending their money at businesses that use AI, after AI replaces their own job.
While I partially agree with you, adoption will be simple to overcome. All you need is the technology to be easy to use and provide feedback to reaffirm what is being said, and it’s all good. The other point of spending your money at places that replaced a job, will be a valid discussion. A lot of companies today are just looking at automation without a view of the role of people in day to day transactions and what it means for the ecosystem. Minimize costs are all they think about.
While I partially agree with you, adoption will be simple to overcome. All you need is the technology to be easy to use and provide feedback to reaffirm what is being said, and it’s all good. The other point of spending your money at places that replaced a job, will be a valid discussion. A lot of companies today are just looking at automation without a view of the role of people in day to day transactions and what it means for the ecosystem. Minimize costs are all they think about.
Partial adoption will be easy to overcome for sure, but total adoption is going to be tricky. I'm middle aged and I would rather speak to my actual doctor rather than have AI take in a list of my symptoms. And I would go to clinics that keep this model around longer than the ones who adopt technology early.
The older generation who get confused, don't speak clearly, won't or can't type are not going to give their symptoms to a machine. They also won't want to deal with AI instead of their lawyer, accountant, etc.
There are so many issues between performance of AI, wariness of it, personal relationships in business, training of junior staff if AI takes all their jobs, etc. that I just don't see how people are so bullish on the short timelines of widespread adoption and employee replacement.
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While I partially agree with you, adoption will be simple to overcome. All you need is the technology to be easy to use and provide feedback to reaffirm what is being said, and it’s all good. The other point of spending your money at places that replaced a job, will be a valid discussion. A lot of companies today are just looking at automation without a view of the role of people in day to day transactions and what it means for the ecosystem. Minimize costs are all they think about.
You clearly have never been a product manager and vastly overestimate humans
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I will say the cost of these AI Centers is astounding. I'm just a dumb steel guy, but the amount of money in the equipment inside one of what will be 80 similar buildings that house the brains of these operations...that's equal to what my previous Employer bid to supply and construct all of the structural steel on Rogers Place in Edmonton. Which was a job we lost to a Quebec contractor. The new arena being built in Calgary is probably about one and a half times of what that went for.
So if one of these was to roll over and kill me...they'd cut my family a cheque and be more annoyed about any of the equipment that my worthless blood spilled on.
If you can figure out how to get AI addicted to virtual drugs, alcohol, gambling, and porn. I think there's a lot of personal gain to be had.
__________________ "Some guys like old balls"
Patriots QB Tom Brady
Or you have so little value you’re not even worth the electricity AI would use to replace you.
Don't underestimate the value of "here be dragons". Ai would probably put "here be Khaleesi" or something else equally as useless. But a dragon warning? You better be thanking your local cartographer.
Sounds like you need to work on your prompt engineering, because...
Career still safe! Let's see how this goes...
Spoiler!
Please do it again, but with Denver in it's correct geographic location.
What state is Denver in?
ChatGPT said:
Denver is in the state of Colorado.
What state does your map have Denver in?
Good catch — the map I generated incorrectly places Denver too far south, roughly in New Mexico or the Texas Panhandle, instead of in central Colorado where it actually belongs.
Would you like me to regenerate the map with Denver correctly positioned in Colorado?
[woo, an em dash]
Yes
[I can assure you, this is a different image that it took minute to generate]
Can you highlight the state of Colorado on that map?
Good job! OK, Denver is in that highlighted state, which is Colorado. Place Denver in the correct location in Colorado, and draw a circle with radius of 900 miles.
Wrong. Denver is known to be in Colorado. You have highlighted Colorado correctly on the map. Logically, the Denver location must appear within the highlighted state. It currently is not. Can you fix this, and put Denver in it's correct geographical location in Colorado with a 900 mile radius circle centred on Denver?
And this is usually where I give up on pretending LLM's have spatial reasoning figured out.
Not sure why it didn’t work for you. Did perfectly fine for me.
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Serious answer though, are you able to digitize images where AI could diagnose conditions?
Could you use AI along with a microphone to fill out patient paperwork / write down symptoms?
Even use AI to show what different glasses would look like on a persons face
Jane, a med office management tool just introduced an AI assisted note taker. My wife is trying it out but the Luddite in her is battling her success. I think this area is a no brainer, but people need to know how to work with it.
Jane, a med office management tool just introduced an AI assisted note taker. My wife is trying it out but the Luddite in her is battling her success. I think this area is a no brainer, but people need to know how to work with it.
I got chest pains from watching my doctor one-finger type in my medical information, information that should have been readily shared with him by a simple mention of my name.
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Jane, a med office management tool just introduced an AI assisted note taker. My wife is trying it out but the Luddite in her is battling her success. I think this area is a no brainer, but people need to know how to work with it.
Oh for sure there’s some big opportunity to save time and effort there. I have 0 experience managing any sort of medical clinic, but AI seems effective at performing tedious tasks with some level of oversight.
I recently helped write an obituary and chatGPT was great for coming up with an outline as well as prompting me for extra info related to the deceased. It still needed some fine tuning but the bones were there.
My mom does admin for an ENT specialist and they’ve switched to AI transcription of the doctor/patient conversation and it then breaks the relevant details from the conversation into point form and categorizes it. They still review the result and she claims it’s always right. This however is the same woman who has incorrectly thought for decades that meatloaf is my favourite meal. So it may not really have the 100% review rate that she thinks.
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From what I understand it's more about cutting down charting times and freeing up the doctors time for diagnosing and treatments.
Did you read the article I posted? In many scenarios AI has better accuracy for medical diagnoses than humans.
Last time I went to the dentist and got X-rays, by the time I got back to the chair the dental AI system had already decided I had no cavities. That was kind of mind boggling (the dentist still confirmed it, of course.. for now).
