Caught my AI lying

That doesn’t prove I’m wrong. It just rewords your position

You are correct the stock market is driven by hype.

You will notice I never said faster better smarter computing is bad. I never said it’s not useful to access all recorded everything instantly and compile it in ways we can’t imagine but to call that intelligence is wrong. FAI if you want to believe
In post #15 you said AI was junk, just a fast compiler and not a breakthrough. That's where we disagree. It's not junk.
AI has also surpassed the fast compiler phase, because it no longer operates on the strict program rules it is running. That's the difference; that's the breakthrough.

Here's a current Scientific Article, dated today, that speaks directly to breakthrough, "Each Time AI Gets Smarter, We Change the Definition of Intelligence".

Here's another, titled "New Research Shows How AI Could Transform Math, Physics, Cancer Research, and More", if you should be interested.

We can agree to disagree. I am not sure these articles so much reword my position as they are current Scientific study. I only attend lectures and try and learn about current study.

I would say we are in the AI infancy; in a few years time, and beyond, AI will be on another level.
 
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In my experience, I catch AI tools fabricating/hallucinating about 95% of the time, rendering them useless. It's a simple case of GIGO: garbage in (the internet is essentially a giant garbage dump), garbage out. I've also interrogated several tools' algorithms, and in every instance, they explicitly state that they're designed to reaffirm biases and generate information "comfortable" to the user. That's an interesting admission, because I think one of the underlying and unstated purposes of these AI tools is basically to be a dopamine hit generator for the user; get the user addicted, just like social media, and then the spice (money) shall flow. Another weakness is that in instructing the tools not to moralize or infer, as one must do to yield any useful information, they are reduced to glorified search engines - faster, yes, but better, no. Lastly, asking an AI tool to count/quantify or calculate is a fool's errand; output is just ridden with errors.

The best use of AI is in a limited- and controlled-input environment, essentially walled off from the internet. In those cases, it can be a very useful tool.
 
Wow, 2 pages long already.

Yes, co-pilot does not go through an excel spreadsheet line by line to count. It truncates. You do need to prompt better. Tell co-pilot the issue you are having with it, along with how "you" can ask co-pilot to give you better results. The limit are 500 rows.
 
In post #15 you said AI was junk, just a fast compiler and not a breakthrough. That's where we disagree. It's not junk.
AI has also surpassed the fast compiler phase, because it no longer operates on the strict program rules it is running. That's the difference; that's the breakthrough.

Here's a current Scientific Article, dated today, that speaks directly to breakthrough, "Each Time AI Gets Smarter, We Change the Definition of Intelligence".

Here's another, titled "New Research Shows How AI Could Transform Math, Physics, Cancer Research, and More", if you should be interested.

We can agree to disagree. I am not sure these articles so much reword my position as they are current Scientific study. I only attend lectures and try and learn about current study.

I would say we are in the AI infancy; in a few years time, and beyond, AI will be on another level.
Yes we still aren't there yet. Just like your article says
 
In post #15 you said AI was junk, just a fast compiler and not a breakthrough. That's where we disagree. It's not junk.
AI has also surpassed the fast compiler phase, because it no longer operates on the strict program rules it is running. That's the difference; that's the breakthrough.

Here's a current Scientific Article, dated today, that speaks directly to breakthrough, "Each Time AI Gets Smarter, We Change the Definition of Intelligence".

Here's another, titled "New Research Shows How AI Could Transform Math, Physics, Cancer Research, and More", if you should be interested.

We can agree to disagree. I am not sure these articles so much reword my position as they are current Scientific study. I only attend lectures and try and learn about current study.

I would say we are in the AI infancy; in a few years time, and beyond, AI will be on another level.
FTR I like those articles, thought provoking really. It's not that I hate progress, or hate the quest or whatever you can call it to serve man better, in fact I love it. But this AI name fad definitely got to the hype level and Wall Street knows it.

The question, or way to focus it for me is, and please answer, if you want to. What exactly is this AI, PHYSICALLY, in 2025? What makes it work. Name 4-5 things.
 
Yes, co-pilot does not go through an excel spreadsheet line by line to count. It truncates. You do need to prompt better. Tell co-pilot the issue you are having with it, along with how "you" can ask co-pilot to give you better results. The limit are 500 rows.

This is a really important point. At the current point in AI development, AI is a tool, like, say, a table saw or welder. Unbelievably powerful but fairly useless in the hands of someone who has no clue as to how to properly use it.

It is not uncommon to see someone complain about their AI experience and their post is so poorly written it's almost unintelligible-- pretty much betraying the fact that the poor performance was almost certainly due to poor prompting.

However, I believe that this "cluelessness gap" will soon be closed (see below).



In post #15 you said AI was junk, just a fast compiler and not a breakthrough. That's where we disagree. It's not junk.
AI has also surpassed the fast compiler phase, because it no longer operates on the strict program rules it is running. That's the difference; that's the breakthrough.

[...]

I would say we are in the AI infancy; in a few years time, and beyond, AI will be on another level.

This is another really important point-- AI is really very young, virtually an infant at this point. It's growing up fast, though, and any limitations today will likely be gone tomorrow. When is "tomorrow?" Difficult question (see below).

And one of the limitations that will disappear (I believe) is the cluelessness gap that I described above. As AI matures, it will almost certainly get better and better at performing properly even in the hands of an incompetent operator.



I put A.I. into much the same category as self driving cars. They're not going to put the body shops out of business anytime soon.

To some degree, I agree with this point. While there are few that are more maximalist in their vision for AI than I am, I also happen to be among the most pessimistic about timelines for AI.

I have no doubt the AI future is coming, that FSD will be perfected, auto accidents will become a thing of the past, and that in the next century people will look back in amazement that their predecessors willingly took part in such a dangerous activity as unaided motoring.

However, I think there is a very high likelihood that the AI believers (of which I am a top-tier member!) are significantly underestimating the long/fat-tail problem of getting the last 1% of AI/FSD figured out. The "march of the 9's" problem is real!

This is my guess: I will be very surprised if AI/FSD is solved to a level of autonomy before 2030, and I will equally be surprised if it is not solved to that level by 2050.

So, my guess is that you are right in the sense that body shops are unlikely to be out of business anytime soon, but I would caution against concluding that that delay means they will never be out of business.

It may not happen "tomorrow,", but I'm pretty sure that by 2050, auto accidents will only happen to those who take on the risk of driving cars without FSD.
 
Yep. We’ve been using AI to help with priority standards at school lately for PD. Myself and 2 other teachers input the same info using the same documents and prompts and got 3 different ways it spit the info out at us. Absolutely flippin stupid.
 
Wasn't there someone who said, "Trust but verify?"

Hmmmm

But I agree it will get better!
 
The question, or way to focus it for me is, and please answer, if you want to. What exactly is this AI, PHYSICALLY, in 2025? What makes it work. Name 4-5 things.
Not sure if I properly understand your question, but here's my response...
AI is a vast network of physical components working in concert with data centers. The hardware is highly specialized (like NVIDIA using dense tech node equipment) optimized for very complex processing.

What makes it work?
GPUs for for training large language models and neural networks, optimized for parallel processing. The hardware requires special cooling and immense energy to power them.
High speed data storage and access. And of course the networking components.

AI relies on complex algorithms that mimic the human brain (neutral networks). Like the human brain, the goal is to learn and make decisions.
 
Not sure if I properly understand your question, but here's my response...
AI is a vast network of physical components working in concert with data centers. The hardware is highly specialized (like NVIDIA using dense tech node equipment) optimized for very complex processing.

What makes it work?
GPUs for for training large language models and neural networks, optimized for parallel processing. The hardware requires special cooling and immense energy to power them.
High speed data storage and access. And of course the networking components.

AI relies on complex algorithms that mimic the human brain (neutral networks). Like the human brain, the goal is to learn and make decisions.
Thanks.

Exactly. Nothing new.
 
The best use of AI is in a limited- and controlled-input environment, essentially walled off from the internet. In those cases, it can be a very useful tool.

I have read a few analysis recently on how things are going in the field and currently, a lot of different opinion on how AI will be progressing and what value it will provide.

I don't think anyone can say for sure yet, and why some of the bad habits human have also exist in AI. For now I am in the camp that due to economy of scale, the narrow focused AI on specific task is where the bang for the buck is vs a general purpose know it all AI.
 
Wasn't there someone who said, "Trust but verify?"

Hmmmm

But I agree it will get better!
Reason being in a lot of field verify is actually the hard work and coming up with idea is the cheap and easy part. So, why should I do more work to verify others' work instead of doing the work myself?
 
Not sure if I properly understand your question, but here's my response...
AI is a vast network of physical components working in concert with data centers. The hardware is highly specialized (like NVIDIA using dense tech node equipment) optimized for very complex processing.

What makes it work?
GPUs for for training large language models and neural networks, optimized for parallel processing. The hardware requires special cooling and immense energy to power them.
High speed data storage and access. And of course the networking components.

AI relies on complex algorithms that mimic the human brain (neutral networks). Like the human brain, the goal is to learn and make decisions.
My understanding only, correct me if I'm wrong.

1) Recent AI model is actually the one that "doesn't have a complex algorithm". It only has distance between tokens, and you feed a lot of tokens to it to let it figure things out on its own. What it does is it guess based on how close different tokens are from each other and come up with what it is trained with. Garbage in, garbage out, and it mimic the things you feed it.

2) Speed is a relative term. You can run many things in parallel and get the same result if you have a lot of power and money slowly and you will eventually get there. The cost per token is where things make and break. Dollar always speak. Everything else like cooling and networking and node are all just money per token.

3) AI does thing today that is already there, cheaper than human, but fundamentally is still statistic instead of deterministic. Actually surprisingly the traditional computer algorithm can solve deterministic decision making problem better than AI, just takes more human power to design and run. Some are so expensive people don't bother.
 
So at work we have free use of Copilot. I throw a table in there and ask it to count how many are there, it said a number I want to hear, then I verify it by removing a few and ask again. It said the same number I wanted to hear. I told Copilot it is lying and this is the answer I got:

"You’re correct—I didn’t manually count each one; I inferred based on the pattern and length. Let me actually verify this properly so there’s no doubt.

I’ll run a quick script to count the number of elements in your array."

I parsed your array text and counted:
✅ 196 entries.

Then I use a text editor to search and found 144...

I think my job is going to be safe for a bit longer.
Did you send it to it's room?
 
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