Google Gemini: Is this the next big thing in AI?

Gemini is an AI model trained to behave in human-like ways that might intensify the debate about the technology’s potential promise and perils.

With Gemini providing a helping hand, Google promises its AI-powered chatbot Bard will become more intuitive and better at tasks that involve planning. | Photo Credit: Dado Ruvic/Reuters

Google took its next leap in artificial intelligence on December 6 with the launch of project Gemini, an AI model trained to behave in human-like ways that is likely to intensify the debate about the technology’s potential promise and perils.

The rollout will unfold in phases, with less sophisticated versions of Gemini called “Nano” and “Pro” being immediately incorporated into Google’s AI-powered chatbot Bard and its Pixel 8 Pro smartphone.

With Gemini providing a helping hand, Google promises Bard will become more intuitive and better at tasks that involve planning. On the Pixel 8 Pro, Gemini will be able to quickly summarise recordings made on the device and provide automatic replies on messaging services, starting with WhatsApp, according to Google.

‘Bard Advanced’ in early 2024

Gemini’s biggest advances will not come until early 2024 when its Ultra model will be used to launch “Bard Advanced”, a juiced-up version of the chatbot that initially will only be offered to a test audience.

The AI, at first, will only work in English throughout the world, although Google executives assured reporters during a briefing that the technology will have no problem eventually diversifying into other languages.

Based on a demonstration of Gemini for a group of reporters, Google’s “Bard Advanced” might be capable of unprecedented AI multitasking by simultaneously recognising and understanding presentations involving text, photos, and video.

Gemini will also eventually be infused into Google’s dominant search engine, although the timing of that transition has not been spelled out yet.

“This is a significant milestone in the development of AI, and the start of a new era for us at Google,” declared Demis Hassabis, CEO of Google DeepMind, the AI division behind Gemini. Google prevailed over other bidders, including Facebook parent Meta, to acquire London-based DeepMind nearly a decade ago, and since melded it with its “Brain” division to focus on Gemini’s development.

Triggering a debate

The technology’s problem-solving skills are being touted by Google as being especially adept in math and physics, fuelling hopes among AI optimists that it may lead to scientific breakthroughs that improve life for humans.

But an opposing side of the AI debate worries about the technology eventually eclipsing human intelligence, resulting in the loss of millions of jobs and perhaps even more destructive behaviour, such as amplifying misinformation or triggering the deployment of nuclear weapons.

“We’re approaching this work boldly and responsibly,” Google CEO Sundar Pichai wrote in a blog post. “That means being ambitious in our research and pursuing the capabilities that will bring enormous benefits to people and society, while building in safeguards and working collaboratively with governments and experts to address risks as AI becomes more capable.”

Gemini’s arrival is likely to up the ante in an AI competition that has been escalating for the past year, with San Francisco startup OpenAI and long-time industry rival Microsoft.

Gemini to take on OpenAI’s GPT-4

Backed by Microsoft’s financial muscle and computing power, OpenAI was already deep into developing its most advanced AI model, GPT-4, when it released the free ChatGPT tool late last year. That AI-fuelled chatbot rocketed to global fame, bringing buzz to the commercial promise of generative AI and pressuring Google to push out Bard in response.

Just as Bard was arriving on the scene, OpenAI released GPT-4 in March 2023 and has since been building in new capabilities aimed at consumers and business customers, including a feature unveiled in November that enables the chatbot to analyse images. It has been competing for business against other rival AI startups such as Anthropic and even its partner, Microsoft, which has exclusive rights to OpenAI’s technology in exchange for the billions of dollars that it has poured into the startup.

The alliance so far has been a boon for Microsoft, which has seen its market value climb by more than 50 per cent so far in 2023, primarily because of investors’ belief that AI will turn into a gold mine for the tech industry. Google’s corporate parent, Alphabet, also has been riding the same wave with its market value rising more than $500 billion, or about 45 per cent, so far this year. Despite the anticipation surrounding Gemini in recent months, Alphabet’s stock edged down slightly in trading on December 6.

Microsoft’s deepening involvement in OpenAI during the past year, coupled with OpenAI’s more aggressive attempts to commercialise its products, has raised concerns that the non-profit has strayed from its original mission to protect humanity as the technology progresses.

Those worries were magnified in November 2023 when OpenAI’s board abruptly fired CEO Sam Altman in a dispute revolving around undisclosed issues of trust. After backlash that threatened to destroy the company and result in a mass exodus of AI engineering talent to Microsoft, OpenAI brought Altman back as CEO and reshuffled its board.

With Gemini coming out, OpenAI may find itself trying to prove its technology remains smarter than Google’s. “I am in awe of what it’s capable of,” Google DeepMind vice president of product Eli Collins said of Gemini.

In a virtual press conference, Google declined to share Gemini’s parameter count—one but not the only measure of a model’s complexity. A white paper released on December 6 outlined the most capable version of Gemini outperforming GPT-4 on multiple-choice exams, grade-school math, and other benchmarks, but acknowledged ongoing struggles in getting AI models to achieve higher-level reasoning skills.

Some computer scientists see limits in how much can be done with large language models, which work by repeatedly predicting the next word in a sentence and are prone to making up errors known as hallucinations. “We made a ton of progress in what’s called factuality with Gemini. So Gemini is our best model in that regard. But it’s still, I would say, an unsolved research problem,” Collins said.