Posted on 01/31/2023 3:29:36 PM PST by EnderWiggin1970
In the past three weeks, policymakers had their worlds rocked by generative artificial intelligence. The problem is that they don’t know it – yet.
First, a team of researchers demonstrated that Open AI’s Chat GPT3 can pass the stringent United States Medical Licensing Exam. Days later, Chat GPT 3 passed a bar exam. Finally, Chat GPT3 passed the prestigious Wharton Business School’s rigorous core examination.
The Wharton researcher writes, “OpenAI’s Chat GPT3 has shown a remarkable ability to automate some of the skills of highly compensated knowledge workers in general and specifically the knowledge workers in the jobs held by MBA graduates including analysts, managers, and consultants.”
Lawyers, doctors, administrators, managers, and consultants are some of the most highly compensated professionals in the United States. Generative artificial intelligence is banishing them to obsolescence.
(Excerpt) Read more at realclearpennsylvania.com ...
Can it stop ballot box stuffing?
It’ll need a coin slot if it’s going to replace politicians.
Considering its political views, highly unlikely.
I have been checking out Chat GPT a bit which appears to be an AI game changer.
It can be humorous at times when it tries too hard to answer your question in the requested context. For example — “please explain ‘light speed’ to a viking.” You get back some funny answers as it tries a bit too hard to relate to vikings.
Nonetheless this is not technology to be scoffed at. Numerous lectures at youtube.
I can see it now - 2024 election results
Trump: 78,534,000 votes
Biden: 1,897,734,999 votes
Observers say it was "cleanest election ever!"
I’m sorry Dave.
ChatGPT is impressive, but has a long way to go. I have been working with it to write some Excel VBA functions. Fail is the word that applies. I have attempted multiple different problems and if there is any complexity involved, the ChatGPT codes fails. It fails by using commands that are not available. It fails, more importantly, by failing to properly solve the problems I give it. Don’t care if it passed some test, my experience is, that it is impressive but needs a lot more work to become useful.
Does it ban mail in voting, ballot harvesting, drop boxes, and early voting that gave that moron an insurmountable lead? If not, then…..NO
Want to turn Penn RED. have the statewide and senatorial elections use an electoral college system. Penn will never have a Dem at the state level, nor
Democrat Senator.
It’s all fun and games until you need the pod bay doors opened.
I predict it answers "Piece of cake."
I’m a computer science guy and have long thought that many, many, many so called “knowledge workers” - lawyers, doctors, nurses, etc. were coasting on their qualifications. It’s about to get real for them as most of what is done on a daily basis should probably be done using automation to ensure quality.
Many jobs are rent seeking gov jobs that should be replaced with a robot so they stay fair, etc.
Programming? Large parts of that is done these days with ai.
Me, I’ll probably last up until just after the singularity as one of those useful in the transition.
> It’ll need a coin slot if it’s going to replace politicians.
Precisely.
But as long as a human is needed to actually comprehend what humans are asking about a bill, or order or a computer problem, or have a problem which the automation does not list as an option - which none I have dealt with can - then humans are not in danger of being replaced.
I agree that we can find new work, but my question remains: What will that work look like? It’s also worth considering the impact on folks who don’t handle the transition well. America is full of millions if not tens of millions of down-and-out folks on drugs and alcohol and suffering depression, in which the shift from physical labor to an information economy has arguably been a huge factor in explaining their plight. Now AI is coming for the information economy workers...
Bitcoin...
Jesus. ChatGPT is a Turing test.
What will people be doing in 10 years? How will they earn a living?
“People asked these same questions during the Industrial Revolution, when machines replaced humans on farms. Milton Friedman points out, in one of his books, America went from 95 percent farmers in 1790 to 5 percent farmers in 1910. Some economists predicted mass unemployment during this transition phase, but it didn’t happen. Human labor always shifts into other, often unseen, areas when technology takes their jobs. In other words, we shouldn’t worry about it.”
In response, I agree. I try to simplify the transition in this way—displacement does not cause collective unemployment, only individual unemployment. Overall, the effect of technological change on employment is determined by growth and productivity change. If the tech causes growth, there is an increase in employment opportunities—maybe leisure industry, maybe tech systems jobs, can’t say. Then again, I could be way off. Thanks for your insightful post.
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