$2,000 per month for next-gen AI models? OpenAI could reportedly hike subscription prices amid bankruptcy claims: "That's a price point for an emp...

wojtek

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May 2, 2023
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No, i wouldn't but J don't even pay now (nor actually use chatgpt)... AI bubbles should burst - the sooner the better...
 

fjtorres5591

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May 16, 2023
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No, i wouldn't but J don't even pay now (nor actually use chatgpt)... AI bubbles should burst - the sooner the better...
See, here's the thing: everybody focuses and pearl clutches over chatbots, when the *real* money is in enterprise data processing.

Remember, big companies have been collecting and mining data for over a generation. Big data is mission critical to them and anything that is faster, more accurate, and more insightful (yes, insightful) in identifying chokepoints and underserved markets is worth big bucks. Way more than even $50k a year. And it's not something that needs to go to every single Data Processing employee anyway.

That is the biggest market but far from the only one.

Even "trivialities" like image generation have value for big business. In hollywood they fret over digital actors when the value lies in giving directors a tool for trying different staging options before filming. Instead of a dozen takes, the director can play with a hundred options before the actors hit the set.

Or look at the glasshouse corporate publishers: these days they rely on outsourced stock images for their covers with absurdly comical or worse, generic, covers. Look up some of the bad cover websites online. Often the cover has no relation to the story inside. This is because they no longer have an inhouse art department or even hire freelancers for pennies. A good LLM might allow the overworked "art director" with two unpaid interns to process a book for a prompt to a quality image generation app and the cover might actually bear a resemblance to the book contents.

Now, the big publishing houses are run by luddites but small publishers and author/publishers aren't. They'll usecanything that will reduce costs and boost revenues.

Like it or not, LLMs and focused SLMs are here to stay. For now, they need big expensive datacenters to run. That will not last. The tech is already migrating to PCs, laptops, and even smartphones. Give it two more years, three at the outside and it will be thoroughly embeded in most local software and the AI hype will be as dated as the GUI vs CLI wars of a past genertion.

Railing against AI, dreaming of OpenAI magically vanishing in a puff of smoke and brimstone is as futile as similar FUD campaigns against Microsoft in the 90's, Amazon in the aughts, and ebooks in the teens. All succeededcand thevworld didn't end. LLMs are just the latest focus of people on soapboxes who are scared of change.

Time passes, things change, and today's demonic new tech that is "going to destroy the world as we know it" is tomorrow's everywhere tool we can't live without. Most humans adapt. The rest just froth at the mouth impotently because the world goes as it will, not as they want.

Fighting the future is futile. Find better things to do.
 
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