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<!-- Lucas Bubner, 2023 -->
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
<link
href="https://fonts.googleapis.com/css2?family=Inter:wght@100;400;600;800&display=swap"
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/>
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<meta name="description" content="Taking a stance on the tech information that matters." />
<title>TechStance: Our Next Generation</title>
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</head>
<body>
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<img src="assets/bg.jpeg" alt="background" id="bg" />
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<li><i>Join the TechStance network today!</i></li>
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<img src="assets/tsbanner.png" alt="logo" id="logo" />
<p>Taking a stance on the tech information that matters.</p>
</div>
</div>
<br />
<div id="separator"></div>
<div id="heading-text">
<h5 style="margin: 0 0 1 0">Artificial Intelligence</h5>
<p id="bigheading">Our Next Generation</p>
<br />
<p id="smallheading">The Potential of Computerised Intelligence</p>
<h4 style="margin: 0 0 1 0">Authored by Lucas Bubner, May 16th 2023.</h4>
<h5 id="readtime"></h5>
</div>
<hr />
<div class="key">
<div class="text-area">
<p class="text">
<b>Key Points</b>
</p>
<ul>
<li>* Artificial intelligence has been a technology in development for tens of years.</li>
<li>* The current AI boom has taken the world by storm in recent times.</li>
<li>* AI technology is rising to be one of the most promising IT industries.</li>
</ul>
</div>
</div>
<hr />
<div class="text-area">
<p class="text">
Imagine a world where computers can outperform even the most intelligent humans, where our technology
can develop original and vastly detailed solutions to real-world problems, solving battles we have been
at war in for tens of years. This future is near, but this venture has a complex journey.
</p>
<p class="text">
Ever since the dawn of humanity, we have been surrounded by resources and materials to build the next
generation of technology. As a result, we have rapidly accelerated our growth over the past century
reaching exponentially stronger levels of computation, rich with the collective ideas by the minds of
millions, expedited by the motives of civilisation.
</p>
<p class="text">
The ‘Turing machine’, conceptualised in the 1930s, is a significant mathematical model influencing our
technological advancement. These models can perform any algorithm represented by ones and zeroes on an
infinitely long tape. With the help of this model, today's computation hardware is referred to as
‘Turing complete’, meaning it can simulate a Turing machine and complete any calculation given enough
time and memory.
</p>
<img class="image" src="assets/1.png" alt="Turing Machine" />
<hr />
<p class="caption">
The Turing machine, named after Alan Turing, is one of the fundamental mathematical models of computer
science.
</p>
<p class="text">
Nevertheless, why is this important to know? This is because, with our knowledge of Turing machines,
computers are technically capable of making decisions for themselves, considering any given Turing
complete machine can perform any algorithm or calculation.
</p>
<p class="text">
Therefore, as computers became more widespread, cheaper, and accessible throughout the mid-1900s, the
first steps into what we know today as artificial intelligence was sparked. Through this knowledge,
computer scientists and mathematicians developed hundreds of algorithms resembling computational
intelligence, where computers could make logical decisions using concepts such as evaluation and
simulation. A prime example of this emerging technology was in 1997 when the first computer beat
Grandmaster Garry Kasparov in a chess game.
</p>
<img class="image" src="assets/2.jpg" alt="Garry Kasparov and Deep Blue" />
<hr />
<p class="caption">
The chess battle between Grandmaster Garry Kasparov and artificial intelligence 'Deep Blue'.
</p>
<p class="text">
Continued development into machine learning and reinforcement later proved mathematical structures that
could replicate the neuronal process of the human brain, known formally as ‘artificial neural networks’.
In addition, this technology has only continued to grow since then, with companies and entities
producing large language models and neural networks for various purposes in recent years.
</p>
<img class="image" src="assets/3.jpeg" alt="Human Brain vs Neural Network" />
<hr />
<p class="caption">
Left: Human neuron, right: artificial neural network. A neural network represents data similar to the
human brain cell.
</p>
<p class="text">
Today, many companies worldwide have been revolutionising their technical ability by incorporating
artificial intelligence into their workflows. From previously mentioned language models and massively
growing applications such as OpenAI’s ChatGPT to AI tools such as DALL-E, ElevenLabs, and GitHub
Copilot, artificial intelligence has taken the world by storm over the past year.
</p>
<p class="text">
This exponential rise in the popularity of generative AI tools has been the pinnacle of artificial
intelligence technologies for the media. It has resulted in what we recognise as the ‘AI boom’, and many
of these large language models are extraordinarily powerful. Moreover, they can generate work humans
cannot produce in various contexts, including AI-generated text, audio, images, art, and computer code.
</p>
<img class="image" src="assets/4.jpg" alt="ChatGPT by OpenAI" />
<hr />
<p class="caption">OpenAI's ChatGPT has gained 100 million active monthly users in only two months.</p>
<p class="text">
As a result, various ethical and safety concerns have arisen from developing these generative AI tools
concerning inappropriate, unethical, or antagonistic opinions that can be generated. Furthermore, based
on their training data, these dangerously implemented models can generate misinformation and propaganda,
including strongly biased political views and language characterised by prejudice and discrimination. In
a recent interview with OpenAI’s CEO Sam Altman, Altman expressed his concerns regarding generative AI
technology, stating that “we aren’t going to be the only creator of this technology”, indicating that
the world is trying to push forward with this innovation.
</p>
<img class="image" src="assets/5.jpg" alt="OpenAI CEO Sam Altman" />
<hr />
<p class="caption">OpenAI CEO Sam Altman at a recent ABC News interview.</p>
<p class="text">
For context, OpenAI has been leading the generative AI industry for years and has taken proper safety
steps to limit any dangerous usage of its models. However, as these technologies become more widespread,
similar to the world-famous ‘dot-com bubble’, people can quickly implement generative AI systems without
these protective filters or safeguards.
</p>
<p class="text">
Nevertheless, these drawbacks should not stray us away from continuing development in the AI industry,
as it is still an emerging technology. Artificial intelligence as we know it is simply going through a
cycle of early integration. With any new and developing technology, adaptation to include these
innovations in our workflow becomes lengthy and complicated, as we have yet to establish any solid
ground for implementing these systems. For reference, we are already attempting to integrate these
generative technologies into our products, which include AI assistants, virtual agents, and automation,
spanning into the public space with products such as ChatGPT and Google Bard AI.
</p>
<p class="text">
Any new emerging technology must go through a gradual integration process, which correlates the amount
of research and development to a particular technology's performance in the real world. Therefore,
promoting the education of AI systems will increase the number of developers working in this field and
allow the public to make better-informed decisions about integrating these technologies, especially when
these technologies are often regarded as dangerous but have extraordinary potential.
</p>
<img class="image" src="assets/6.png" alt="Technology s-curve" />
<hr />
<p class="caption">
The technology “s-curve” relates to the integration performance of technologies over time.
</p>
<p class="text">
A time in the future may arise when artificial intelligence systems revolutionise job industries and
toolsets. Acquiring the necessary skills to interact with these AI systems, such as prompt engineering
and development, will become vital components of a person’s toolkit in the new workforce. Therefore, for
us to continue integrating AI systems, we must start teaching these constructs to promote integrity in
the industries planned to be assisted by these emerging AI technologies.
</p>
<p class="text">
These systems have plenty of potential in our society, and we need as much help as possible to bring
this technology to life. The future is undefined but exciting, and we must prepare ourselves for the
possibilities that lie ahead in the new AI-driven world.
</p>
</div>
<br />
<footer>
<p>
This website and related company assets were created by <b>Lucas Bubner, 2023</b>. TechStance does not
represent any real company or corporation. You may view the source code
<a target="_blank" href="https://github.com/hololb/Sk323NewsReport/">here</a>.
</p>
</footer>
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