Click here: to donate by Credit Card
Or here: to donate by PayPal
Or by mail to: Free Republic, LLC - PO Box 9771 - Fresno, CA 93794
Thank you very much and God bless you.
Posted on 08/25/2025 12:15:50 PM PDT by libh8er
|
|
Click here: to donate by Credit Card Or here: to donate by PayPal Or by mail to: Free Republic, LLC - PO Box 9771 - Fresno, CA 93794 Thank you very much and God bless you. |
I’m sure this article’s title will age well.
See the stats in the article.
The same has always been said of emerging technologies. Early adopters will uncover the flaws and shortcomings. And then, technology moves on and acceptance becomes more universal.
Like Krugman’s prediction internet would be as useful as a fax machine. though so far what I’ve seen of it is mostly stupid.
I use logic pro x on a MacBook for my music recording software but use Android AI search when I run into software or settings problems.
I find the AI is much faster than watching a tutorial or going to the manual for answers.
AI is not a universal panacea and never will be. If applications are targeted to specific roles and tasks, then it can certainly be useful... but then only if those implementing the tool have the time and wherewithal to do it right.
The barriers to doing that? Technical skills, the hype machine that’s already promised the moon and a few stars, and (of course) costs.
Example of a bad AI use? I’ve yet to find any AI-operated ‘customer service’ call center that would even entertain even a single question that I needed an answer to.
I’m convinced the Nasdaq will have tough couple of years when investors realize AI is not as applicable as Jensen Huang claims...
AI is the wrong name. Its a marketing name that gives too much credence to software processes that do what software processes have always done, follow rules and search data. Now with faster better computers and more access to data, software is doing a better job. But its not intelligence. Its only following rules very fast. Yes, it appears to think. But it doesn’t. Give it bad data and it comes up with bad answers. Give it bad rules and it comes up with bad answers. To think of it another way. AI can come up with a very complex very fast stupid answer faster than a human can. Humans just need to understand that AI is simply a tool. like a chain saw works better than Paul Bunyan’s axe. It does not know the best trees to cut or when too much is cut. Someone has to tell it that. AI is unfortunately now just a simile for actual intelligence. When it should be just a simile for fast software with all the same bugs and bad designs it had before.
AI can come up with a very complex very fast stupid answer faster than a human can.
“AI is the wrong name. Its a marketing name that gives too much credence to software processes that do what software processes have always done, follow rules and search data. “
AI was a name assigned many decades ago to a type of software processing.
I took a course on AI programming 50 years ago.
Personally hoping for our own Butlerian Jihad
AI can come up with a very complex very fast intelligent answer faster than a human can.
remember that........................
The Great AI Crash of 2025 lurks just over the horizon.
It just takes the right line of code to make this prediction invalid. We just don’t yet know what that line of code might be yet.
I hope it crashes to hell and gone, before they have it controlling every traffic light and air traffic tower in the country from one central AI server...
AI is subject to the most extreme, most over-the-top marketing hype cycles of any technology I’ve ever seen.
And each hype cycle is more off-the-charts than the last one.
I work in the field, and I’ve learned to ignore these cycles and the outlandish promises that are made each time around the bases.
I remember about fifteen years ago, the expression “scary accurate” was being used to describe whatever was the latest LLM “breakthrough” of that time. Does anyone remember that one? No. Long forgotten.
The telecommunications (telecom) industry encompasses businesses and services that enable the long-distance transmission of information via wired and wireless technologies, including phone calls, internet access, and broadcasting services.
Key components of the industry are the providers of telecommunications equipment, such as modems and routers, and the service providers that operate networks for mobile, internet, and cable services, facilitating the transfer of voice, data, and video across global networks.
Key Components
Equipment Manufacturing: This includes the design and production of devices and infrastructure like phones, routers, fiber optic cables, and network hardware.
Service Providers: These are the companies that operate the networks and deliver services to consumers and businesses.
Types of Services and Technologies
Fixed Services: This category covers wired internet (DSL, fiber optics), landline phone services, and cable TV.
Mobile Services: Includes voice and data services for mobile phones, utilizing cellular technologies like 4G and 5G networks.
Broadcasting: Services that transmit radio, television, and satellite content.
Internet Access: Providers that offer high-speed broadband to connect users to the internet.
Societal Impact: The telecom industry is fundamental to global economic growth, connecting people and enabling essential services like online education and healthcare.
Technological Advancement:
The industry continuously evolves, with innovations in fiber optics, 5G, satellite communications, and AI driving new capabilities and user experiences.
Market Dynamics: Fierce competition and constant innovation characterize the market as companies strive to develop new technologies and services.
Disclaimer: Opinions posted on Free Republic are those of the individual posters and do not necessarily represent the opinion of Free Republic or its management. All materials posted herein are protected by copyright law and the exemption for fair use of copyrighted works.