Impact of Artificial Intelligence Beyond Apps: An Analysis
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AI + Machine Learning
Sep 29, 2023 4:18 PM

Impact of Artificial Intelligence Beyond Apps: An Analysis

by HubSite 365 about Jukka Niiranen [MVP]

Power Platform Advisor at Forward Forever. Microsoft MVP, Business Applications

Pro UserAI + Machine LearningM365 Hot News

Explore how artificial intelligences latest advancements could revolutionize fields like Microsofts low-code application platforms.

Summary of AI's Impact and its Rapid Advancements

The recent post penned by Jukka Niiranen [MVP] shares his views on the rapid growth and potential impact of AI technologies. Niiranen suggests that Large Language Models (LLMs), such as OpenAI’s GPT-4 model, marks a significant shift in our understanding of computers' capabilities. This is due to their ability to produce sophisticated and seemingly intelligent responses in a chatbot context.

Niiranen likens the emergence of LLMs to a sudden change, a meteorite hitting earth, despite AI developments being 'bubbling under' the tech surface for a significant period. Much like the disruptive technologies before it, AI's significant impact took many by surprise as it moved from gradual development to sudden revolution.

Interestingly, the author draws a parallel between the 'iPhone moment of AI' with the birth of Apple's iPhone. In both scenarios, existing technologies were brought together to create a disruptive product that revolutionalized markets and user expectations. Just as the iPhone bundled together touch screens and downloadable apps, AI models like GPT-4 are bringing together existing AI elements in innovative ways.

The author continues explaining the transformational nature of AI by discussing how AI and Machine Learning are changing the business landscape, saying that it made the tech industry stare at the brewing disruption. For instance, ChatGPT, an open-source chatbot developed by OpenAI, has the ability to redefine business operations and interactions.

Notably, Niiranen observes that while these developments are profound, tech giants like Google may have been held back by their own business models. By contrast, Bing has successfully capitalized on these advanced technologies, raising interesting questions about the future of search and, indeed, the internet.

The main analysis in the article relates to the increasing concern in the IT world with AI technologies' potential to disrupt their own jobs. LLM-based AI systems can replicate a significant proportion of what knowledge workers do, and so many workers could be replaced by AI systems. The author emphasizes the challenges but also the opportunities this brings.

Further, the article explores the paradox of AI development. Here, Moravec’s Paradox is discussed, stating that high-level reasoning requires very little computation, while low-level sensory-motor skills require enormous computational resources. Essentially, replacing office workers with significant computational tasks is easier than replacing jobs like drivers that require more sensory-motor skills.

Evolving uses for technologies like Microsoft's Power Platform and GitHub's Copilot are also examined. The author suggests that these platforms democratize app creation and software development, thanks to AI's increasing capabilities. Not only does this allow anyone with a computer to create applications, but it also threatens traditional hierarchies within the IT industry.

In conclusion the blog explores questions around future industry needs. Considerations for potential 'NoApp' future are touched on briefly, wherein the author suggests a moment where AI capabilities could render apps irrelevant. The focus is on the ultimate value resulting from technology rather than the technology itself.

For more detailed insights on AI and Machine Learning, refer to this Link

Overall Implications of AI's Rapid Advancements

The implications of the AI revolution, as per Jukka Niiranen, are vast and varied - from rethinking business models to disrupting industries, to transforming our daily lives. As AI technologies proliferate, it is the organizations that can adapt and harness their potential that stand to gain. On the other hand, it also hints at an impending disruption within the tech industry. Rather than just being the enablers of change, AI technologies may change the industry's very landscape.

Read the full article The world beyond apps – my thoughts on AI’s impact

AI + Machine Learning - Impact of Artificial Intelligence Beyond Apps: An Analysis

Learn about The world beyond apps – my thoughts on AI’s impact

AI and machine learning have rapidly evolved over the years, significantly impacting various industries including technology, business, and even our day-to-day lives. A considerable force behind this growth has been large language models (LLMs), which have challenged our understanding of computer capabilities.

LLMs landed with a big bang towards the end of 2022, raising several eyebrows about the phenomenal things computers can do today. If you've had the opportunity to log in to ChatGPT or use the new Bing version powered by OpenAI's GPT-4 model, chances are you've been stunned by the type of responses they can generate.

These advancements in artificial intelligence have led us to question - why didn't we see this coming? Truth be told, such leaps in technology don't emerge overnight. They remain under the radar, and then burst out like a dormant volcano.

One popular example often associated with such technological leaps is the advent of the iPhone. Apple didn't necessarily introduce anything new; key elements like touch screens and downloadable apps were already there, pioneered by industry leaders like Nokia. What made the iPhone revolutionary was the way these elements were delivered to the customers.

Just like the iPhone, the release of fundamentally changed the way we interacted with the LLM family. Unlike physical products, one didn't need to make a purchase or a commitment to experience generative AI's potential. This was a paradigm shift that turned the world's attention towards AI's unlimited potential.

The rapid advancement of these technologies has sparked discussions about the business world's future and growing concerns about job security. With AI's capabilites shown capable of handling a significant share of work done by knowledge workers, it sends out a clear message - we've been wasting our brain's potential on tasks that AI can handle better.

While this realization may evoke fear and apprehension, it's also a call to embrace the magic of AI to handle mundane tasks, freeing us to harness our uniquely human qualities better. From managing emails and summarizing data to generating reports and basic interactions with CRUD-based systems, AI can do it all, providing significant relief.

  • There are growing concerns about AI's impacts on various fronts. It raises questions about the copyright issues related to content generation, the growth of tech monopolies, AI's skewed understanding of information, the internet getting inundated with AI-generated content, and even biases in AI systems and their impacts.

  • These concerns have led us to speculate about the future of AI and how we can harness its potential without causing harm. It's clear that this exponential technology growth has outpaced our understanding and control, but it also brings unlimited opportunities for those willing to embrace and adapt.

  • Powerful AI doesn't have to be perfectly right to bring business value. It only needs to be close enough. Sure, the AI system will often need supervision, but the financial gains will be massive wherever human work can be minimized.

  • One of the significant benefits of AI is the elimination of human limitations. Unlike human professionals, AI can be there for you whenever needed. This makes AI-powered business solutions a sweet deal for almost anyone as the barrier is almost non-existent.

  • There's no doubt that the advent of powerful AI systems will bring new challenges. However, if we embrace this technology's potential rather than fearing its drawbacks, we can navigate through these challenges and actualize AI's unlimited potentials.

In conclusion, AI's exponential growth, especially the rise of powerful LLMs, has opened up a plethora of new possibilities and challenges. Accepting and adapting to this new change is the key to thriving in this era of rapid technological advancement.

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