I have a more nuanced take. AI is simultaneously untrustworthy and useful. For many queries, DuckDuckGo and Google are performing considerably worse than they used to, while Perplexity usually yields good results. Perplexity also handles complex queries traditional search engines just can’t.
About a third of the time, Perplexity’s text summary of what it found is inaccurate; it may even say the opposite of what a source does. Reading the sources and evaluating their reliability is no less important than with traditional search, but much of the time I think I wouldn’t have found the same sources that way.
Of course there are other issues with AI, such as power usage and Perplexity in particular being known for aggressive web scraping.
Nuance and depth isn’t as popular as I’d like on or off Lemmy.
Absolutely. I recently needed to satisfy auditors with a report on our network security. Our main guy was on leave, but I quickly got the evidence I needed with a few powershell commands that I would have previously spent way more time googling.
It’s also decent at reports and short, impersonal emails to suppliers etc. It frees up a lot of my time to do actual work, and for that I think it’s decent.
Like basically everything in life, the truth is between the extremes. For me it’s useful, but doesn’t replace me and my team. I’m neither an AI evangelist or detractor. It’s just another tool.
Ah, but you see, I never claimed AI isn’t useful. In fact, you can check my comment history. I’ve agreed AI is a very useful tool, I still think it shouldn’t be used for ethical, social, and personal reasons
A problem with nuance is that people want to discuss the specifics and nuances of what they care about but for the most part won’t do that on subjects for other people. So you need to tailor your responses to your audience. FWIW on Lemmy I see a lot more instances of people with specificly opposed takes where both sides have similar vote counts. So while it’s not perfect it’s better than most
You can theoretically have an ethical LLM. You can train one from the ground up on non-copyrighted materials using renewable energy.
But I think what a lot of people are forgetting is that it’s not uncommon for technology to start off super inefficient. A computer used to take up an entire floor of an office building, and a hard drive with a few KB of storage used to be the size of a fridge.
Now you can have a system orders of magnitude more powerful that’s the size of a postage stamp and consumes less than 1W of power.
Lots of things theoretically exist: a reasonable terms and conditions, a functioning DMV, a unified charging standard, etc. I’m going to focus my energy on things that are real and not hope someone decides to be morally upstanding. If you’re arguing that the bullshit machine that spreads lies that actively harm people could become so ubiquitous that it fits in any electronic device if we just keep giving it money, then I’d say you’re making my argument for me
I think ddg and Google are performing worse because of AI. Pushing their AI services and the tsunami of AI slop make a search harder than SEO did and deprioritizes fixing it.
I think current state-of-the-art AI is useful for when you are not having a novel thought.
I believe that AI, at least in the form of LLMs, is currently incapable of novelty in the sense of creating a new concept or a new thought with reason and purpose behind it.
For instance, if I was going to write a book, I might consult with LLMs about how to fill in the slow gaps or the dead spaces in my storyline and to fully come up with a completely fleshed out story that I would then write without its assistance.
My assumption is that anything that it fills in is going to be cobbled together from literally hundreds of thousands of other similar stories, and therefore it will not be new or unique in any way.
If I was really trying to push the envelope, I would then assume that the right thing to do would be that whatever it says is ordinary and common, and if I want to be extraordinary and uncommon, then I need to use that as a launch point for my own gap-filling content.
Therefore, I could use an LLM to write a good story with a new concept, a new premise, a new storyline that is relatively unique and original by using the LLM to clearly identify those things that are not.
I have a more nuanced take. AI is simultaneously untrustworthy and useful. For many queries, DuckDuckGo and Google are performing considerably worse than they used to, while Perplexity usually yields good results. Perplexity also handles complex queries traditional search engines just can’t.
About a third of the time, Perplexity’s text summary of what it found is inaccurate; it may even say the opposite of what a source does. Reading the sources and evaluating their reliability is no less important than with traditional search, but much of the time I think I wouldn’t have found the same sources that way.
Of course there are other issues with AI, such as power usage and Perplexity in particular being known for aggressive web scraping.
Nuance and depth isn’t as popular as I’d like on or off Lemmy.
I’ve found it to be extremely useful for stuff like one-off powershell commands that I’ll use like 3x in my career.
Just today I was trying to find the command line switches for disk2vhd, and none of the top results, even the official page for the app, had them.
But Google’s AI had them and provided sources I could use to verify the information.
But people didn’t do that last part before AI, so I can see why it’s an issue.
Absolutely. I recently needed to satisfy auditors with a report on our network security. Our main guy was on leave, but I quickly got the evidence I needed with a few powershell commands that I would have previously spent way more time googling.
It’s also decent at reports and short, impersonal emails to suppliers etc. It frees up a lot of my time to do actual work, and for that I think it’s decent.
Like basically everything in life, the truth is between the extremes. For me it’s useful, but doesn’t replace me and my team. I’m neither an AI evangelist or detractor. It’s just another tool.
Ah, but you see, I never claimed AI isn’t useful. In fact, you can check my comment history. I’ve agreed AI is a very useful tool, I still think it shouldn’t be used for ethical, social, and personal reasons
A problem with nuance is that people want to discuss the specifics and nuances of what they care about but for the most part won’t do that on subjects for other people. So you need to tailor your responses to your audience. FWIW on Lemmy I see a lot more instances of people with specificly opposed takes where both sides have similar vote counts. So while it’s not perfect it’s better than most
You can theoretically have an ethical LLM. You can train one from the ground up on non-copyrighted materials using renewable energy.
But I think what a lot of people are forgetting is that it’s not uncommon for technology to start off super inefficient. A computer used to take up an entire floor of an office building, and a hard drive with a few KB of storage used to be the size of a fridge.
Now you can have a system orders of magnitude more powerful that’s the size of a postage stamp and consumes less than 1W of power.
Lots of things theoretically exist: a reasonable terms and conditions, a functioning DMV, a unified charging standard, etc. I’m going to focus my energy on things that are real and not hope someone decides to be morally upstanding. If you’re arguing that the bullshit machine that spreads lies that actively harm people could become so ubiquitous that it fits in any electronic device if we just keep giving it money, then I’d say you’re making my argument for me
I think ddg and Google are performing worse because of AI. Pushing their AI services and the tsunami of AI slop make a search harder than SEO did and deprioritizes fixing it.
It’s also a way to inflate the number of ads a user has to wade through before they find what they’re looking for. Classic monopolist bullshit.
Ddg is performing worse because Microsoft raised the price on Bing API calls.
I think current state-of-the-art AI is useful for when you are not having a novel thought.
I believe that AI, at least in the form of LLMs, is currently incapable of novelty in the sense of creating a new concept or a new thought with reason and purpose behind it.
For instance, if I was going to write a book, I might consult with LLMs about how to fill in the slow gaps or the dead spaces in my storyline and to fully come up with a completely fleshed out story that I would then write without its assistance.
My assumption is that anything that it fills in is going to be cobbled together from literally hundreds of thousands of other similar stories, and therefore it will not be new or unique in any way.
If I was really trying to push the envelope, I would then assume that the right thing to do would be that whatever it says is ordinary and common, and if I want to be extraordinary and uncommon, then I need to use that as a launch point for my own gap-filling content.
Therefore, I could use an LLM to write a good story with a new concept, a new premise, a new storyline that is relatively unique and original by using the LLM to clearly identify those things that are not.