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The Launch of Gemini 3: Google Paves the Death of Links and AI Chatbots and Challenges Nvidia by Unifying Deep Think, Deep Research.
Google took a decisive step toward the future of artificial intelligence by launching Gemini 3 last week:
Google paves the death of links and AI chatbots and challenges Nvidia, inaugurating a phase where conversational systems cease to be just assistants and become agents capable of executing complex tasks.
The announcement was made globally and marks a structural shift in the use of AI in the company’s services, from Search to Gmail.
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The innovation arrives as a response to the accelerated progress of the market, but also as a strategic repositioning of the big tech company.
This is because Google bets on a model that not only improves the accuracy of responses but also transforms the very experience of browsing the internet.
Additionally, the company shows that it now intends to compete directly in areas dominated by Nvidia by revealing that Gemini 3 operates on its own chip, the TPU v6 (Trillium).
This choice signals ambition, autonomy, and at the same time, a warning to the sector: the big tech wants more control over its computational future.
Digital Agents: The Disruption That Replaces Traditional Chatbots
The most immediate aspect of Gemini 3: Google paves the death of links and AI chatbots and challenges Nvidia is the end of the era of chatbots that merely “respond”.
Google identifies that the public needs systems capable of reasoning, planning, and acting, rather than just predicting the next word as in the classical logic initiated by ChatGPT.
According to the company, the phase of “digital workers” begins, agents that autonomously process tasks and reduce the dependence on human supervision.
This leap inaugurates a more proactive experience, with the potential to revolutionize professional routines, content production, and internet research.
Deep Think and Deep Research: AI That Thinks, Simulates, and Researches Like a Human
Although the raw performance of Gemini 3 in text generation impresses with 1,501 points in LMArena, surpassing Grok 4.1, GPT-4.5, and Gemini 2.5 Pro, the real differentiator lies in Deep Think.
The feature works as a deliberative layer that makes the model “think before speaking,” check facts, simulate scenarios, and reduce the risk of errors.
This approach is Google’s response to the problem of “hallucinations” and prepares the ground for more complex tasks.
When integrated into Search, Deep Think joins multimodality and gives rise to Deep Research, which completely reformulates how users receive information.
Now, Google not only provides answers but also visually recreates content, becoming a browsing environment itself and no longer merely an intermediary between websites.
Google Aims for Computational Autonomy and Challenges Nvidia with the TPU v6
Behind the scenes, the most symbolic move of Gemini 3:
Google paves the death of links and AI chatbots and challenges Nvidia is in the adoption of the TPU v6 (Trillium) chip.
Created internally, it allows Google to support its own model without relying on the massive infrastructure of GPUs manufactured by Nvidia.
The message is clear: the big tech proves that it can build and operate its cutting-edge systems in-house.
Still, Nvidia remains sovereign in global supply, as Meta, Microsoft, xAI, and most startups continue to rely on its GPUs.
The Future of the Web in the Face of Gemini 3
By launching Gemini 3, Google shows that it is not just updating a model, but reformulating the very logic of the internet.
The web ceases to be a browsing space and becomes an immense invisible database that feeds digital agents.
Google has created a machine for executing tasks, proved it can run it internally, and signals profound changes with Gemini 3:
Google paves the death of links and AI chatbots and challenges Nvidia.
It remains to be seen whether the ecosystem that sustains the web, especially media, attention economy, and traffic, will survive this transformation.
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