Raw LLM Responses

This is a very good explanation Ai, one of the best I heard so far. I worked in IT for 35 years and I can tell you that something like this requires huge amounts of expensive storage and processing power. During my career I worked on systems that processed 2 million records daily and 1 mainframe computer was not enough, so we had to purchase another one. A bunch of people got layed off due to that purchase. IMHO, you don't really need Ai if you are just crunching the numbers. Most of the programmers in our Ai department sat all day reading books and magazines, because they simply were not needed. Think about it, Joe Sponge owns a small flower shop selling, you know flowers, how is Ai going to help Joe improve his business ? Back in the 80's and 90's we didn't have a lot of storage, or processng power. A Mainframe computer (which is all we had) would cost the company from 5-10 million dollars with 1 million dollars annual maintence fees. Now you know why companies were so desperate to find cheaper alternatives. Many companies that could not afford the price-tag of a new Mainframe computer, rented computer space instead to save money. Then came personal computers(PC's) and later the Internet. Small and mid-size companies could now jump on the band-wagon. Although there were some " Midframe" computers around that were a little cheaper than Mainframe. What would these companies use the computer for you may ask ? Make coffee, clean the refrigerator ? Not exactly, the computers were/are used to process many of the administrative tasks of a Business or Govmt Agency such as: Accounting, Marketing, Statistics, Finance, Statements, Reports. The computer replaced a lot of people who used to perform those duties manually. The computer could perform those tasks faster, more efficiently and accuately. However, if you add up the costs, how much was the company really saving? Computer programmers were not cheap, Mainframe computers were not cheap ! Now maybe Ai could be helpful in Sales and Marketing, but the other stuff is pretty much written in stone and won't be changing any time soon. Maybe Ai could eliminate the cost of hiring programmers, but then you have to hire Ai programmers who definitely are not cheap ! Also, you are back to purchasing memory and processing power like they did back in the 1980's ! Starting in the years 2000, many companies ditched their Mainframe computers for personal computers(PC's) and the internet. This was called the "Conversion period" and lasted up until today. Instead of clunky old Mainframe computers, Networks were established which allowed companies to just plug into a Network through the internet instead of having a big fat computer physically sitting in an office somewhere which they had to pay for. Unfortunately, even Networks are not free. The way Networks work is that Instead of one Mainframe computer, a bunch of PC Servers were bunched together to mimick what a single mainframe computer could do. These Servers were mostly housed in Data Centers (but could be housed at the company itself) which could contain from 1-2000+ servers each. But who actually pays for these servers and how much electricity is used to keep them running 24/7 ? Not only that, these Networks actually spawned the era of SCAM, SPAM, Computer Viruses, Worms, Highjacks etc. Your data was not safe anymore because Hackers could break into those Networks given enough time. Another problem that arose was that during the Conversion period is that companies could not just ditch their old Operating Computer Systems while the Converison process was going on. So they needed to not only hire Old-school programmers but New-school programmers adding to their costs. Many companies solved this problem by Outsourcing. The maintenance of the old systems would be perfomed by foreign programmers who were much cheaper, while the New-school programers worked on the Conversion. This semed to work pretty well for a while, but eventually backfired as foreign workers upgraded their skills and began replacing the New-school American programmers, since they were cheaper and more pliable. Soon these foreign workers would come to dominate the entire industry. Despite all these challenges the progress is obvious if you take the time to look around. Things just happen faster and more efficiently these days compared to the 1980's and 90's. Now here comes Ai wth even more challenging scenarious. We will just have to wait to see how this all will pan out.