In a groundbreaking move, Google has unleashed its latest marvel upon the tech world—Gemini. This cutting-edge artificial intelligence model, unveiled after the global AI safety summit, claims to outshine even the mighty ChatGPT in a myriad of tests, showcasing what Google terms "advanced reasoning" across diverse formats. So, what are the intricacies of Gemini, its features, and its potential impact on the landscape of product management?

Gemini's capability

Google asserts that Gemini has left state-of-the-art AI models, including ChatGPT's GPT-4, trailing in its wake. Outperforming in 30 out of 32 benchmark tests, spanning reasoning and image understanding, it's a leap into the future of AI. The Pro model doesn't lag, surpassing GPT-3.5 in six out of eight tests. Gemini’s three-headed beast—Ultra, Pro, and Nano—are 'multimodal,' showcasing an unparalleled ability to comprehend text, audio, images, video, and even computer coding.

The unveiling

Initially launched in over 170 countries, Gemini is an upgrade to Google's chatbot, Bard. However, there's a catch—the Bard upgrade hasn’t hit the UK and Europe yet, still waiting on regulators' nod. While waiting for clearance in the UK and Europe, product managers should anticipate a transformative tool on the horizon.

Demis Hassabis, the brain behind DeepMind, Google's London-based unit, describes Gemini as their most colossal undertaking to date, a Herculean effort that promises to reshape the AI landscape.

The three musketeers: Ultra, Pro, Nano

Let's break down Gemini's three versions and how you can use it as a product manager. Ultra, set for a 2024 release, claims to be the first AI model to outshine human experts in a multitasking test, scoring a whopping 90%. This powerhouse will fuel AlphaCode2, a code-writing tool touted to surpass 85% of competition-level human programmers. 

The Pro and Nano variants cater to different platforms, with the Pro model integrating with Google's Bard chatbot and the Nano finding a home on Android-powered mobile phones.

External scrutiny and security

Google isn't taking any chances with Gemini's Ultra version. Undergoing external "red team" testing—a thorough examination of security and safety—the results will be shared with the US government. This aligns with an executive order by President Joe Biden in October. Gemini's collaboration with the UK government for testing is in the works.

How product managers can use Gemini

Gemini's promotional videos highlight its capabilities. With its advanced reasoning, the Ultra model deciphers handwritten physics homework and provides detailed tips. The Pro version showcases image analysis, identifying drawings, and even nailing smartphone video enactments. Google's move into AI promises to redefine the boundaries of what we thought possible. So, how can you use Gemini as a product manager?

Understanding complex information:

Gemini Ultra excels at making sense of intricate written and visual data. Product managers can leverage this capability to analyze complex information, gaining valuable insights into market trends or customer behavior.

Enhancing user intent understanding:

Gemini's advanced features include the ability to understand and reason about users' intent. This is invaluable for product managers in tailoring products to effectively meet customer expectations.

Multimodal processing for diverse content:

As a product manager, capitalize on Gemini's multimodal capabilities. It can process images, video, text, and audio concurrently, providing a comprehensive understanding of diverse content formats.

Flexibility across platforms:

Gemini, described as Google's most flexible large language model, runs on various platforms, from data centers to mobile devices. Product managers can ensure seamless integration and accessibility across different business environments.

Staying ahead with advanced AI foundation:

Gemini represents a significant advancement in AI foundation models. Product managers can stay ahead in their industry by leveraging this cutting-edge technology for innovative product development and strategic decision-making.

Incorporating Gemini into a product manager's toolkit can enhance data analysis, improve user understanding, and facilitate strategic innovation across diverse business scenarios.

AI concerns 

AI carries a spectrum of worries, from mass-produced disinformation to the creation of superintelligent systems that go beyond human control. Questions about Gemini's role in advancing towards Artificial General Intelligence (AGI) are being raised. How far will AI be pushed, and will it replace the need for human touch completely?


Google's Gemini isn't just an AI model; it's a paradigm shift. As it strides onto the global stage, leaving competitors in the dust, it prompts us to rethink the possibilities of artificial intelligence. The road ahead involves regulatory dialogues, security assurances, and a continuous quest for perfection in an ever-evolving AI landscape. Stay tuned as Gemini propels us into a future where AI isn't just a tool; it's a game-changer.