AI Section in forums

So if you think it is just a fancy language search engine, please try your hand at coding with it and see the magic for yourself.
Yes I know it's good for programming. I'm just saying it's not intelligent, it's just advanced computing, i.e. everything it's doing is ultimately a calculation.
 
Yes I know it's good for programming. I'm just saying it's not intelligent, it's just advanced computing, i.e. everything it's doing is ultimately a calculation.

You mean like the human brain. Basically just a bio computer?
How do you define intelligence?

If it can create a full application without me coding and by just describing in English what I want? what kind of human would I need to hire to complete that task and in the same time? I think I would have to find one of the best programmers on Earth to have it do what I did in that short of time.

Maybe in a few years I think we will find an eerily close relationship to how AI functions to how we function.
 
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If you were and do coding, you would know it is not just a fancy search feature.

I can't describe how unbelievable AI is from a coding point. It is the greatest technological leap I've seen since I've been using computers.
Feeding disassembled C code from a compiled program in IDA; into AI and having it to create native ports in python for the functions is just insane and one example I have recently completed with it.
I've also wrote an Android app having the AI write all of it; this to control some custom hardware of mine. I just don't have the time to code any more or keep up with the framework changes. But AI has given me a workable app just by describing what I want.

So if you think it is just a fancy language search engine, please try your hand at coding with it and see the magic for yourself.


People I find that don't like AI:

Creative career people, artists etc for obvious reasons - Massive threat to jobs, understandable, but these types of people seem to be more entitled thinking throughout history they are the only ones with a career that has had the possibility of being replaced by technology.

Labour / Green voters, possibly because of the climate crisis, unions etc with job losses.

People who think using Google Search is indictment of how AI is as a whole, not realising you are probably using the most basic non reasoning AI model for instant answers.

Creatives already use AI to be creative. It's enhancing their creativity. They can't lose a job they don't have.

It's programmers who don't seem to realize they are writing themselves out of their own careers. Tech lay offs are everywhere.
 
You mean like the human brain. Basically just a bio computer?
How do you define intelligence?

If it can create a full application without me coding and by just describing in English what I want? what kind of human would I need to hire to complete that task and in the same time? I think I would have to find one of the best programmers on Earth to have it do what I did in that short of time.

Maybe in a few years I think we will find an eerily close relationship to how AI functions to how we function.

Most programmers write garbage applications on their own. It's why they usually need a team of non programmers with common sense to guide them.
 
But no denial...

The cost per seat of AI is eyewatering. We have to track usage and productivity gains from its use across the organization. We are actively looking for any opportunities to leverage it to justify the cost. If people aren't using it, they may lose their license to cut costs.

We've completed a few AI projects with some success. Been useful for some miscellaneous automation and documentation work that was tedious. I expect it will dominate the next quarter..
 
That isn't even remotely true, sure there are some for various reasons and sadly with the increase of it being a career there are some increasingly poor approaches by people with little real care for what they are doing.

The vast majority of software outside of large packages or bespoke industrial applications are often the work of small teams or even individuals often heavily loaded by programmers.

EDIT: In fact it is a horrible stereotype - sure there are a small number of "savants" who can be extraordinary coders but lacking overall development but your average good coder tends to conversely be well above average when it comes to common sense.
 
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I would say the opposite is true. The ratio of really good developers to mediocre ones is really low. Problem the majority think that are gods gift. They aren't.

But they think they are good at UX, UI management, everything, business analysis. The don't stay in their lane and they produce awful applications as a result.


This is why you have software like MS Teams where everything is illogical. You can see this in AI where they are so excited to see what they can do they don't stop to think of the wider implications. It gives wrong information so often and none of them thinks that's a problem.
 
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The main difference is that in the dot com era most companies were not even generating revenue, while the current AI "bubble" is led by highly profitable companies that are investing sustainably into AI and where most of them are generating revenue, but at a loss. Costs per token have dropped massively.

For sure many smaller companies and startups will fail as they have jumped on the bandwagon without a sound business model, but the big payers are profitable overall, but AI may not be today.

There does seem to be something a bit off with the way its being financed though, this is worth a watch


Sure but as the other user has said it's a different situation.

Said every speculator during every bubble ever :p

Being a bubble doesnt mean the technology isnt useful or wont suevive, it just means the amount of current speculation based on future rewards isnt grounded in reality and that sums up AI to a T atm.
 
I can't describe how unbelievable AI is from a coding point.

There are areas of coding, especially anything esoteric or innovative where AI falls flat on it's face - for example I recently wanted to use an ATTiny85 (AVR microcontroller) with USB monitoring but with modern Windows serial communications is largely a no go with the device (there are some hacked up V-USB drivers but that is a mess as well) but it does work as a USB HID device i.e. keyboard or game controller so my solution was to create a program that takes advantage of raw input's ability to create a background hook to a raw input device to handle the ATTiny as a joystick and stuff data into button and slider inputs (if I revisit the project I might look at creating a customised HID driver more suited to the task).

Whole program optimisation especially things like clever ways of packing data, etc. are still something AI struggles with - even with the newer models which can devote long time periods to reasoning and self-correction, etc. to improve the final product.
 
Big companies usually have deep pockets to keep going even if they lose their shirt on a bad idea or project.
 
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There are areas of coding, especially anything esoteric or innovative where AI falls flat on it's face - for example I recently wanted to use an ATTiny85 (AVR microcontroller) with USB monitoring but with modern Windows serial communications is largely a no go with the device (there are some hacked up V-USB drivers but that is a mess as well) but it does work as a USB HID device i.e. keyboard or game controller so my solution was to create a program that takes advantage of raw input's ability to create a background hook to a raw input device to handle the ATTiny as a joystick and stuff data into button and slider inputs (if I revisit the project I might look at creating a customised HID driver more suited to the task).

Whole program optimisation especially things like clever ways of packing data, etc. are still something AI struggles with - even with the newer models which can devote long time periods to reasoning and self-correction, etc. to improve the final product.

I used AI to create an small bit of automation recently, created the error handlers, file handling, progress bars, documented the code, all the tedious stuff done perfectly. How ever the actual task I was automating it couldn't do. Because it wasn't a generic task. I could correct it and thus the job was done in about 10% of the time it would have if I'd had to do it from scratch in a technology I'd not used in years. But if it's not in the AI library or lexicon it falls over.

Ironically some financial gurus had tried to it before me and failed. But that's because they weren't coders and didn't understand the framework or library.

The task arose as an export from a major financial system. However while the system could have done it, they hadn't a licence for those features, AI etc because it was too expensive. It was cheaper to use a person to join the dots.

I think there's a foreshadowing there.
 
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Though to be fair you probably need AI to make sense of raw input - whoever(s) wrote that interface need slapping around the head albeit it some of that may be due to having their hands tied by legacy considerations.
 
There does seem to be something a bit off with the way its being financed though, this is worth a watch


Said every speculator during every bubble ever :p

Being a bubble doesnt mean the technology isnt useful or wont suevive, it just means the amount of current speculation based on future rewards isnt grounded in reality and that sums up AI to a T atm.


The funding model is not actually that unusual across many industries that require significant capital investment. Nvidia relied upon the success of Openai/Anthropic and by association companies mike core weave, and vice-versa. They all have vested interest in making themselves succeed together. Then there is competition between some of them and a landgrab for users and use cases, so they cannot afford not to invest sufficiently and miss out. There are plenty of 3rd parties and investors that want in on the action financially, which allow those actually creating the technology to get favorable moans and investments.
So sure, you can can make diagrams of interlinked deals that look suspect on the outside, but the deals themselves are sound. You will see the same with things like transportation projects, energy, construction, auto-industry.
 
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