Are we really in an AI bubble?
It’s a pertinent query, so I turned to an AI for insight and followed its suggestion to check a resource authored by human experts. There, I learned that an investment bubble typically undergoes five stages, much like Elisabeth Kübler-Ross’s stages of grief: displacement, boom, euphoria, profit-taking, and panic. Let’s examine how these stages align with our current experience with AI.
Starting with displacement, it’s clear: ChatGPT was the catalyst. When it launched on November 30, 2022, the public reaction was explosive. Suddenly, all the vague chatter about AI crystallized into a vivid demonstration of its capabilities. People were captivated by the idea of conversing with a machine that could respond with articulate sentences. This was reminiscent of the spring of 1993 when Mosaic, the first widely accessible web browser, appeared. It illuminated the real potential of the internet, much like Netscape’s IPO in August 1995, which sent its stock soaring and began inflating the first internet bubble.
Second stage: The introduction of ChatGPT disclosed that major tech companies had been experimenting with AI technologies for years but kept quiet due to the technology’s unpredictable nature. Once OpenAI, the creator behind ChatGPT, disclosed this advancement, a wave of FOMO (fear of missing out) swept across the industry. The situation intensified when it became clear that Microsoft had quietly secured a strategic investment in OpenAI, thus gaining exclusive access to the advanced GPT-4 large multimodal model. Satya Nadella, Microsoft’s CEO, perhaps too boldly, declared his goal to make Google “dance.” This strategy appeared effective as Google, previously viewed as a frontrunner in machine learning, hurriedly launched its Bard chatbot prematurely, only to face widespread criticism and ridicule.
The third stage of the cycle – euphoria – is the one we’re now in. Caution has been thrown to the winds and ostensibly rational companies are gambling colossal amounts of money on AI. Sam Altman, the boss of OpenAI, started talking about raising $7tn from Middle Eastern petrostates for a big push that would create AGI (artificial general intelligence). He’s also hedging his bets by teaming up with Microsoft to spend $100bn on building the Stargate supercomputer. All this seems to be based on an article of faith; namely, that all that is needed to create superintelligent machines is (a) infinitely more data and (b) infinitely more computing power. And the strange thing is that at the moment the world seems to be taking these fantasies at face value.
Unleashing Creativity with Generative AI: The Future is Now
Generative AI is revolutionising the way we think about technology, creativity, and the limits of artificial intelligence. This ground breaking technology has the power to create content, from art and music to text and beyond, that is not only new and original but also incredibly human-like in its complexity and nuance.
What is Generative AI?
At its core, Generative AI refers to algorithms that utilize machine learning techniques to generate new content. This can include anything from images, music, text, and even code. Unlike traditional AI, which is designed to understand or interpret content, Generative AI is all about creation.
The Rise of Creative Machines
The emergence of platforms like OpenAI’s ChatGPT has underscored the potential of Generative AI. These platforms can generate articulate and nuanced text, engage in conversations, and even produce creative writing that rivals that of humans. The implications for industries such as marketing, entertainment, and education are profound, opening up new avenues for content creation and interaction.
Transforming Industries
Generative AI is not just a tool for creating art or writing stories; it’s also transforming more technical fields. In design and architecture, AI-generated models are offering new ways to imagine spaces and structures. In software development, AI is writing code, potentially speeding up the development process and introducing new levels of efficiency.
Ethical Considerations and the Future
As with any transformative technology, Generative AI raises important ethical considerations. Issues around copyright, authenticity, and the potential for misuse need to be carefully navigated. The technology’s rapid development also prompts questions about the role of AI in creative industries and the future of human creativity.
However, the potential of Generative AI to augment human creativity, rather than replace it, offers an exciting glimpse into the future. By automating certain aspects of the creative process, it allows humans more freedom to explore complex, creative ideas.
Embracing the New Creative Partner
Generative AI represents a new kind of partner in the creative process—one that can inspire, generate, and iterate at an unprecedented scale. As we learn to collaborate with these intelligent systems, we stand on the brink of a new era of creativity, where the boundaries of what can be imagined and created are expanded by the power of AI.
As we venture further into this new frontier, the conversation around Generative AI continues to evolve. What do you think the future holds for this technology?
“Microsoft has scheduled a unique OneDrive event on the 3rd of October, during which they intend to provide a “sneak peek into their AI strategies” for the cloud storage service.”
The “Future of File Management” event will be available for live streaming on Microsoft Teams, and it appears poised to showcase a revamped OneDrive interface along with fresh AI-driven search and sharing capabilities.
Microsoft’s announcement for the OneDrive event invites you to join Jeff Teper and the OneDrive product team as they unveil the upcoming evolution in file management throughout Microsoft 365. They promise to provide an early glimpse into their AI strategies, which encompass innovative search, sharing, and information retrieval capabilities across all your OneDrive files.
The OneDrive event is scheduled shortly after Microsoft’s “special event” in New York City on the 21st of September. Rumors suggest that Microsoft is gearing up to unveil three new Surface devices at this event, along with promising AI enhancements across Microsoft 365, Windows, Bing, and more. There’s speculation that some of these OneDrive changes might get a sneak peek during Microsoft’s September event, with a more comprehensive presentation during the October live stream.
OneDrive has remained relatively unchanged for years, making any potential AI features a significant improvement for searching photos and documents on the cloud storage service. Microsoft has also been actively incorporating Copilot assistants into its various applications and services, so it’s possible we may witness a dedicated Copilot for OneDrive as well.
In November 2022, OpenAI released its language learning model, ChatGPT, to the public. The technology is bona fide artificial intelligence, and it is astonishing.
Artificial intelligence (AI) has been active in the world for decades and, in recent years, has had a fast-increasing influence over our lives. But much of AI’s raw intellect has been shrouded from view.
AI technologies trade billions of dollars in equities, conduct genetic research, and bolster national intelligence operations, but for most people, their power remains abstract.
In recent weeks, ChatGPT has passed both the final exam for the Wharton School of Business MBA program and the U.S. Medical Licensing Exam.
Given ChatGPT’s ability to answer questions, it has quickly been identified as a possible foe to another intelligent tool, one that 20 years ago was like magic to us: Google search.
Google search is also powered by artificial intelligence, and its performance in recent decades has vaulted parent company Alphabet to become the fourth most valuable company in history ($1.4 trillion).
ChatGPT beats Google, 23 to 16, with one tie.
Each AI has strengths and weaknesses, some that manifest broadly and others that are revealed only in specific cases.
Google has a significant advantage, given its access to real-time information. The disparity almost makes the tools incomparable, but given that we know ChatGPT will soon have the same or similar access to real-time information, we chose to minimize this difference.
Google is more agile and voluminous as a research tool. For any given question, on the first page of results alone, a person can access ten or more resources, all immediately clickable. Google also offers its “People also ask” series for many searches (though, to be fair, our researchers rarely found these helpful).
Google’s buffet-style approach to answering questions comes at a cost. It can be tiresome and distracting. In a few cases, it can actually degrade the experience overall and cause confusion. For example, on a hypothetical serious medical question, if the top result is a Mayo Clinic article and the next two are lower authority websites filled with digital ads, what’s the point in allowing a user to venture further down the page?
ChatGPT’s responses often read as more wise and mature, like the dialogue you’d expect from a trusted teacher. The difference between the tools is reminiscent of the difference between the limbic system and the prefrontal cortex in the human brain.
Whereas ChatGPT almost always strikes a measured tone and offers thoughtful context, Google search results often reflect a more base human nature, filled with loud sales pitches and reductive framings intended to capture attention fast, at the expense of nuance and, sometimes, truth.
Online culture is rife with short attention spans, bad information, and distorted expectations. Search engines are part of the problem. We see this play out across myriad topics, from weight loss to learning guitar to improving credit – content creators with commercial intent try to delude people into thinking life works differently than it actually does.
Google is a quick and dynamic information delivery system, but one that appears to fail almost as much as it succeeds by putting users in front of the content we don’t want, in front of content that’s reductive, or simply leaving us to do a lot of the work ourselves.
Of course, it’s hard to judge Google too harshly for any of this. After all, its search engine has always been a go-between, a tool that presents the best of what we have to offer right back to ourselves. Meanwhile, ChatGPT performs like something else – yes, an entity trained entirely on human thought that preceded it, but also an author unto itself.
Source: Preply
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Founded in 2015, OpenAI had the backing of investors such as Elon Musk, Amazon Web Services (AWS), Infosys, YC Research, and Altman, who became OpenAI CEO in 2019, the year the company went public.
Other investors included Microsoft, which plowed $1 billion into OpenAI in 2019, and last Monday announced plans to make an additional multi-billion dollar investment. Microsoft also announced its Bing search engine is being upgraded using GPT-4, the latest version of the AI language model built by OpenAI.
That announcement started something of a search chatbot war between Microsoft and Google. Microsoft hopes its use of GPT-4 will give Bing a boost over Google’s long-dominant search engine. Google just announced its own flavor of chatbot technology called Bard. It is a conversational AI service powered by a technology called Language Model for Dialogue Applications (or LaMDA for short).
Preply, a global language learning platform, published the results of a study that compared the intelligence of Google to ChatGPT. Preply assembled what it called “a panel of communication experts” who assessed each AI platform on 40 intelligence challenges.
The challenge showed ChatGPT beating Google 23 to 16, with one tie. Google, however, excelled basic questions and queries where information changes over time.
Questions?
020 3637 6095
support@geekheads.co.uk