ChatGPT isn’t AI

ChatGPT isn’t AI – how is that possible

AI or Artificial Intelligence has a been a big deal in several phases. The 1960s saw the rise of the first round which ended with the conclusion that it was harder than we thought and we didn’t yet have the tools or processing power to tackle it. But we did end up with some excellent ideas which led to Expert Systems and Neural Networks.

Every decade or so since there has been a resurgence with the current round of Machine Learning and correlation engines being heavily used for a wide range of purposes, mostly to try and sell more stuff to more people.

The Turing Test was originally devised to determine if a machine had become intelligent but it has been passed by a chat bot acting as a 13 year old Ukrainian boy, Eugene Goostman. So not evidence of actual or artificial intelligence but definitely evidence that the parameters of that test are insufficient given our ability to mimic the form of human conversational interaction.

Chat GPT has caused a stir because it has human like responses. The form is correct but is it really intelligent?

ChatGPT Word Staging

ChatGPT Word Staging

The answer is a resounding NO. It is a great tool and the concepts will add greatly to future interface design but it is a trained large language model based on a massive text dataset that builds answers statistically. It has no inherent understanding of the domain nor intuition. It does have a great understanding of sentence structure and grammar.

There are 2 excellent articles addressing this. The first is from Rodney Brookes in IEEE Spectrum and the second from Stephen Wolfram. Check them out at:

IEEE Spectrum

IEEE Spectrum

The first article by Rodney Brookes gives a great conceptual overview of the area and the second article by Stephen Wolfram explains exactly how ChatGPT formulates its answers, one word at a time. So very clever and you can expect more cleverness like this; but not Artificially Intelligent.

Rodney Brookes shows that one of the dangers of ChatGPT is the the answers are delivered with such confidence that even when they are completely wrong, you feel like they are true and are inclined to treat them like they are true.

A second big danger with ChatGPT, again according to Rodney Brookes, is mistaking performance for competence. If we see a person performing to a certain action or task with a level of capability we can extrapolate to other things we can expect them to be able to do. We move from evaluating performance to expecting competence. And this is based on our life experiences. This does not apply to Machine Learning systems. A level of performance cannot be extrapolated to competence, either in this domain or anything else we would normally be able to assume based on our understanding of how our own intelligence and competence works. Our instincts work against us. I think this conclusion is also correct.

I am very glad that Rodney Brookes and Stephen Wolfram have taken the time to unpack this. I am hoping this summary will be of use to dissipating some of the hype and fear.

Successful Endeavours specialise in Electronics Design and Embedded Software Development, focusing on products that are intended to be Made In AustraliaRay Keefe has developed market leading electronics products in Australia for more than 30 years.

You can also follow us on LinkedInFacebook and Twitter.

This post is Copyright © 2023 Successful Endeavours Pty Ltd

 

 

AI Revolution

Artificial Intelligence Revolution

The Artificial Intelligence revolution has been touted for years now. And there is no doubt it is happening, just much slower than we would have expected. So are there examples we can draw on to evaluate what is actually happening?

The next section was provided to me by Karthik Reddy of techjury.net who have compiled some interesting statistics.

AI’s Sudden Mainstream Boom

AI has come a long way. Thanks to the tech developments worldwide, we can now use this technology every day as it is integrated into most of our daily routines. What’s great is the fact that, while it has already come a long way, it seems that it’s future is even more promising.

Back in the days, the thought of AI becoming an integral part of lives felt way too far off, as if it was something reserved for the distant future. However, AI has improved a lot over the past decades, and it has since become a part of numerous industries including healthcare, automotive, retail, just to name a few.

One of the early concerns with AI was that it might not be capable of getting the same results that humans do while performing specific tasks, but thanks to machine learning, the technology is able to adapt to the most needs.

AI is growing not only in terms of application but also as an industry. Just a few years ago, the AI industry was worth $1.4 billion. Now, it is expected to boom into a $60 billion industry by 2025. As it gets more funding, developers will be capable of improving it further.

For businesses, this means it might be the right time to invest in this technology before the space gets crowded.

Artificial Intelligence Revolution
Artificial Intelligence Revolution

Artificial Intelligence Summary

So here is a quick summary of the statistics compiled by techjury.net for how AI will be used in 2020.

  • 30% of businesses will employ AI in a least 1 sales process
  • AI could prevent 86% of cyber attacks
  • 1 billion AI enabled video cameras will monitor cities
  • 4 billion devices with AI powered voice assistants

And it is estimated that up to 40% of jobs will be replaced by AI over the next 10 years in the developed world. Australia is no exception with CEDA making the same prediction in 40% of jobs replaced by technology. Some of these will be sensible automation and of course new jobs will also be created.

So it will be an interesting time. Thanks again to Karthik Reddy for bringing this to my attention.


Successful Endeavours specialise in Electronics Design and Embedded Software Development, focusing on products that are intended to be Made In AustraliaRay Keefe has developed market leading electronics products in Australia for more than 30 years.


You can also follow us on LinkedIn, Facebook and Twitter.


This post is Copyright © 2021 Successful Endeavours Pty Ltd.

Artificial Intelligence Usage Now

Artificial Intelligence

There has been hype about Artificial Intelligence, or AI, ever since we starting thinking about creating it. Moves to create truly independently thinking systems are still struggling but expert and self-learning systems have made a lot of progress.

 

So I was interested to get an email from Karthik Reddy of 16best.net  with a new blog post from them about how brands are using AI to enhance their marketing.

 

Here is a snippet. Click on it for a more readable version.

 

Artificial Intelligence Use Now

Artificial Intelligence Use Now

The projection that really interested me is “100% of IoT initiatives will be supported by AI by 2019″. That is a pretty substantial claim. And of course not all the support will be in field as the processing power to make a difference is usually in the back end systems. Given we do a lot of projects for devices that fit the Internet of Things category I’m fairly confident that this is likely to be true. I’m not convinced it will be 100% but it will be high. And this is because once you have devices in the field gathering data, you start making connections between the data and outcomes, and then it becomes valuable.

 

A good example of this is the arcHUB Smart Cities Sensor devices. Once you have the data, you can learn a lot from it. And then you can start making better decisions. And then you can actually measure the improvements.

 

 

Successful Endeavours specialise in Electronics Design and Embedded Software Development, focusing on products that are intended to be Made In AustraliaRay Keefe has developed market leading electronics products in Australia for more than 30 years. This post is Copyright © 2018 Successful Endeavours Pty Ltd.