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Google Gemini is Here. Which is Better ChatGPT 4 vs Google Gemini?

On December 6, Google made a significant move in the field of artificial intelligence with the introduction of Project Gemini. This AI model is designed to mimic human behavior, sparking discussions about both the promises and risks associated with this advanced technology.

The launch will happen in stages, starting with simpler versions of Gemini named “Nano” and “Pro.” These versions will be integrated right away into Google’s AI-driven chatbot, Bard, and the Pixel 8 Pro smartphone.
Thanks to Gemini, Google says Bard will get a boost, becoming more intuitive and improving its abilities for tasks that require planning. On the Pixel 8 Pro, Gemini will swiftly summarize recordings made on the device and offer automatic replies on messaging services, starting with WhatsApp, as per Google’s announcement.

Google-launches-Gemini-an-AI-chatbot

In early 2024, there’s going to be this upgraded version called ‘Bard Advanced.’

The most significant improvements with Gemini are expected in early 2024, when the Ultra model will be used to introduce “Bard Advanced,” a souped-up version of the chatbot. Initially, it will be available only to a select test audience.

In the beginning, the AI will operate exclusively in English globally. However, Google executives assured reporters in a briefing that the technology will have no trouble expanding to other languages eventually.

After showcasing Gemini to a group of reporters, it seems like Google’s “Bard Advanced” could achieve remarkable AI multitasking. It might be capable of simultaneously recognizing and understanding presentations that involve text, photos, and video.

Gemini will eventually be integrated into Google’s popular search engine, although the exact timing of this transition hasn’t been specified yet.

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Demis Hassabis, the CEO of Google DeepMind, the AI division responsible for Gemini, expressed, “This is a significant milestone in the development of AI and the start of a new era for us at Google.” Almost a decade ago, Google outbid other contenders, including Meta (Facebook’s parent company), to acquire London-based DeepMind. Since then, Google has integrated it with its “Brain” division, concentrating on the development of Gemini.

Sparking a Discussion

Google is highlighting the problem-solving skills of this technology, emphasizing its proficiency in math and physics. This has sparked optimism among AI enthusiasts, raising hopes that it could potentially contribute to scientific breakthroughs that enhance human life.

On the flip side of the AI debate, there are concerns about the technology eventually surpassing human intelligence. This worry includes potential job losses in the millions and the possibility of more harmful behaviour, like spreading misinformation or even triggering the use of nuclear weapons.

In a blog post, Google CEO Sundar Pichai stated, “We’re tackling this endeavour with both boldness and responsibility. This involves being ambitious in our research and striving for capabilities that can greatly benefit people and society. At the same time, we’re incorporating safeguards and collaborating with governments and experts to address the risks as AI advances in capabilities.”

Gemini’s introduction is expected to raise the stakes in the ongoing AI competition, which has been intensifying over the past year, involving players like San Francisco start-up OpenAI and long-standing industry competitor Microsoft.

Gemini is set to compete with OpenAI’s GPT-4.

When OpenAI released the free ChatGPT tool late last year, it was well into the development of its most advanced AI model, GPT-4, thanks to Microsoft’s financial support and robust computing resources. This AI-powered chatbot quickly gained worldwide attention, generating excitement around the commercial potential of generative AI and prompting Google to respond with the introduction of Bard.

Around the time Bard made its debut, OpenAI launched GPT-4 in March 2023. Since then, OpenAI has been enhancing its capabilities for both consumers and business customers. In November, a new feature was introduced, allowing the chatbot to analyze images. OpenAI is actively competing for business in the AI space, facing off against rivals like Anthropic and even its partner, Microsoft, which holds exclusive rights to OpenAI’s technology in exchange for substantial financial investments in the startup.

The partnership has proven beneficial for Microsoft, experiencing a market value increase of over 50% in 2023. This surge is largely attributed to investors’ confidence in the potential gold mine that AI represents for the tech industry. Alphabet, Google’s parent company, has also seen a significant uptick in market value, rising by over $500 billion, or around 45%, this year. Despite the recent buzz surrounding Gemini, Alphabet’s stock saw a slight dip in trading on December 6.

Over the past year, Microsoft’s increased collaboration with OpenAI, along with OpenAI’s more assertive efforts to commercialize its products, has sparked worries that the non-profit may be deviating from its initial mission to safeguard humanity as technology advances.

Concerns escalated in November 2023 when OpenAI’s board suddenly dismissed CEO Sam Altman due to a trust-related dispute with undisclosed details. Faced with backlash that jeopardized the company and the potential departure of AI engineering talent to Microsoft, OpenAI reinstated Altman as CEO and made changes to its board.

As Gemini is introduced, OpenAI might be in a position to showcase that its technology remains as intelligent as Google’s. Google DeepMind’s Vice President of Product, Eli Collins, expressed admiration for Gemini, stating, “I am in awe of what it’s capable of.”

During a virtual press conference, Google chose not to disclose Gemini’s parameter count, which is one of several metrics indicating a model’s complexity. A white paper released on December 6 highlighted the most advanced version of Gemini surpassing GPT-4 in various benchmarks, including multiple-choice exams and grade-school math. However, it also acknowledged the ongoing challenges in developing AI models to attain higher-level reasoning skills.

Certain computer scientists believe there are limitations to what large language models can achieve. These models operate by predicting the next word in a sentence and are susceptible to making errors known as hallucinations. According to Eli Collins, Google DeepMind’s Vice President of Product, while Gemini has made significant progress in factuality, it remains an unsolved research problem.

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