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Comment on Microsoft is making every Windows 11 PC an AI PC

FreedomAdvocate@lemmy.net.au ⁨1⁩ ⁨day⁩ ago

My example was perfect, but you got yourself twisted up in knots trying to pretend that firstly you understand what these AI tools can do, and secondly that what I made it do is something that is easy for all users to do as quickly as the AI agent can do it. It shows a complete lack of understanding of the entire concept of AI agents and their abilities and reasons for existing. Now you’re just digging in your heels and digging yourself further into the hole because you don’t want to admit that there are massive use cases for LLMs/AI.

The AI has access to all of the database structure, including primary and foreign keys. It doesn’t hallucinate when you’re getting it to tell you about a set of data like that. With these agents you also can give them a massive ever evolving prompt to “train” it on what to do and what not to do, and how to interpret things.

It’s clear as day that you have literally zero experience in the field, so quit while you’re behind.

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Soup@lemmy.world ⁨1⁩ ⁨day⁩ ago
“My example was perfect” then why was it so pathetically simple? You’re trying to show how AI will solve complex issues and you present something that a toddler could sort through. Maybe your database is just organized like dogshit or maybe you have a point but lack any kind of communication skills to the point where you don’t understand that I don’t know the specifics of how your company works/struggles to function.

And for the love of god can you put even the slightest fraction of the effort you’re putting into being an asshole to answer my questions that I’ve asked repeatedly?! How were people handling this data since before your little LLM tool?

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- FreedomAdvocate@lemmy.net.au ⁨7⁩ ⁨hours⁩ ago
  “My example was perfect” then why was it so pathetically simple?
  
  Because simple examples that anyone can understand while still making the point are the best examples.
  
  You’re trying to show how AI will solve complex issues and you present something that a toddler could sort through.
  
  Again though, this is just you not understanding a simple example. I’ll break it down for you even simpler.
  
  Marketing does not have access to the database.
  
  Marketing has a bunch of reports that have been made for them, available in their admin portal.
  
  Marketing wants a very specific, very customised list of people, but that report does not exist in the admin portal.
  
  AI Agent in Teams lets them describe this very specific, very customised report, and gives them the list. If they want to change it, they just ask again describing the changes that they want.
  
  Without AI Agents in Teams, they would have to create a support ticket to get a new report created by the developers, which would be triaged as low priority most likely, and be placed on the backlog and likely sit there for months.
  
  Am I getting through to you at all?
  
  I don’t know the specifics of how your company works/struggles to function.
  
  The example was clearly spelled out that the people using the AI Agent DID NOT HAVE ACCESS TO THE DATABASE TO GET THE DATA THAT THEY WANTED. You chose to just keep ignoring that fact because you wanted to try and prove that AI is useless.
  
  How were people handling this data since before your little LLM tool?
  
  See the support process above. If it was an urgent report, they would make a ticket and get it triaged as urgent, then a developer or database person would have to work with them to figure out exactly what they want, write the query, run it on the database, and give them the results. If it needs tweaking, they’d have to continually go back to the developer and have them change it and run it again, and again, and again.
  
  Can you see the difference yet? Do you see why the AI Agent is a game changer for some employees?
  
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  - Soup@lemmy.world ⁨2⁩ ⁨hours⁩ ago
    Except you obviously did not make your point. In fact, you made the opposite of your point.
    
    You’re going to need to figure out why your language sucks because saying that marketting doesn’t have access to the database enough to filter through information manually but does have access enough to get that information through an LLM is just about the dumbest thing I’ve heard of. They either have access or they don’t, which is it? How come they can only view the information through a fucking chatbot?
    
    And for the love all that is good and holy HOW THE FUCK WAS ANYTHING BEING DONE BEFORE THE AI AGENT?! ANSWER THE VERY SIMPLE QUESTION!
    
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    FreedomAdvocate@lemmy.net.au ⁨1⁩ ⁨hour⁩ ago
    
    You’re going to need to figure out why your language sucks because saying that marketting doesn’t have access to the database enough to filter through information manually but does have access enough to get that information through an LLM is just about the dumbest thing I’ve heard of. They either have access or they don’t, which is it?
    
    Ok so again, you’re really showing your complete lack of knowledge in IT here. Direct database access is completely locked down to a handful of IT people. Marketing, Finance, etc all have to use IT made reports and tools to see specific things that IT made for them. They cannot just go to the database and do “select * from purchases”. Unless a report etc exists that has exactly what they need, they can’t get it quickly.
    
    With the copilot agent, they now can. They can’t make changes, it’s read only, and it’s only the tables and data that they are approved to have access to.
    
    Are you with me? They didn’t have access to run custom queries on the database. Now, thanks to the AI bot, they do. Pretty simple.
    
    And for the love all that is good and holy HOW THE FUCK WAS ANYTHING BEING DONE BEFORE THE AI AGENT?! ANSWER THE VERY SIMPLE QUESTION!
    
    I already answered that lol
    
    See the support process above.
    
    The support process above, the list that starts with this:
    
    Again though, this is just you not understanding a simple example. I’ll break it down for you even simpler.
    
    This really isn’t hard to understand. The AI Agent means that IT don’t have to constantly run custom queries and make reports for other teams, because the other teams can now get the data that they want themselves in an easy to use non-techy way. They don’t need to learn SQL, they don’t need access to production VMs and DBs - they just talk to the AI agent in teams, as if it was a person.
    
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