Google Gemini 3 Breakthrough Complements Nvidia Market Test

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Google made significant waves in the artificial intelligence sector on November 18, 2025, with the launch of Gemini 3, which it touts as its most intelligent AI model to date. This new iteration, available through the Gemini app, AI Studio, and Vertex AI, dramatically improves reasoning and understanding across various information types. The advanced Gemini 3 Pro model has quickly ascended to the top of most major LMArena leaderboards, scoring 1501 and surpassing competitors like xAI's grok-4.1-thinking and Anthropic's Claude Sonnet 4.5. It also shows substantial enhancements over its predecessor, Gemini 2.5 Pro, particularly in coding and vision, and achieved a perfect 100% on AIME 2025, demonstrating its dominance over OpenAI and Anthropic in many benchmarks. Gemini 3 Pro, built on a sparse Mixture of Experts transformer architecture, can process up to 1 million tokens of text, images, audio, and video. It achieved a 31.11% score on the challenging ARC-AGI-2 evaluation, with a Deep Think preview version reaching 45.14%, marking a significant leap in AI reasoning capabilities. Alongside Gemini 3, Google also introduced Antigravity, an AI-first development platform designed to assist developers with intelligent agents. Meanwhile, the broader AI investment landscape faced a reckoning on November 18, 2025, as global markets experienced a selloff. Investors are now demanding tangible financial returns from AI initiatives, moving past mere momentum. Nvidia's upcoming earnings report is seen as a crucial test for the entire AI market, with companies like Alphabet (Google's parent company) and Amazon, which demonstrate measurable gains from AI, performing better. Brand executives, as discussed at Glossy's AI Commerce Strategies Town Hall, are keen to adopt AI but often struggle with initial investment strategies. In related developments, the CNCF established new standards for running AI workloads on Kubernetes on November 18, 2025, aiming for reliable model execution across platforms. Initial certified platforms include Amazon EKS, Google GKE, and Microsoft Azure, with Version 2.0 slated for 2026. This initiative addresses GPU integration, networking, and resource scheduling, reducing risks for businesses employing multi-cloud or hybrid AI strategies. Creative Strategies CEO Ben Bajarin emphasized that Apple's future growth hinges on integrating AI software with new hardware, envisioning a transformative cycle including AI wearables and AR glasses, while noting NVIDIA's continued dominance in AI infrastructure. Beyond corporate advancements, new AI-powered trading platforms emerged, such as Summit Finviora, launched November 17, 2025, offering automated and manual trading for various assets (excluding the USA). TruTrade also launched on November 18, 2025, combining its RipperOne AI for autonomous trading with QuickFund AI, which provides qualified traders with capital ranging from $50,000 to millions. On the policy front, bipartisan bills were introduced on November 18, 2025, to help small businesses adopt AI through SBA training programs and Small Business Development Center guidance. Globally, China's Tsinghua University was highlighted for leading in AI patents, surpassing institutions like Harvard and MIT, reflecting China's national strategy to become an AI superpower through extensive STEM education and research.

Key Takeaways

Google launched Gemini 3 on November 18, 2025, positioning it as its most intelligent AI model with improved reasoning and understanding.
Gemini 3 Pro achieved a top score of 1501 on the LMArena leaderboard, outperforming models from xAI, Anthropic, and OpenAI in various benchmarks, including a perfect 100% on AIME 2025.
Gemini 3 Pro utilizes a sparse Mixture of Experts architecture, processes up to 1 million tokens, and showed significant gains on ARC-AGI-2, with a Deep Think preview reaching 45.14%.
Google also introduced Antigravity, an AI-first development platform, alongside Gemini 3.
Global markets experienced a selloff on November 18, 2025, as investors began demanding clear financial returns from AI investments, with Nvidia's earnings report being a key test.
The CNCF established new standards for running AI workloads on Kubernetes on November 18, 2025, with Amazon EKS, Google GKE, and Microsoft Azure as initial certified platforms.
Apple's future growth is tied to combining AI software with new hardware, including AI wearables and AR glasses, according to Creative Strategies CEO Ben Bajarin.
New AI-powered trading platforms like Summit Finviora (Nov 17, 2025) and TruTrade (Nov 18, 2025), which integrates RipperOne AI and QuickFund AI for capital, were launched.
Bipartisan bills were introduced on November 18, 2025, to provide small businesses with AI training and guidance through the SBA and SBDCs.
China's Tsinghua University leads globally in AI patents, surpassing Harvard and MIT, reflecting China's national strategy to become an AI superpower.

Google launches Gemini 3 its smartest AI model

Google introduced Gemini 3 on November 18, 2025, calling it their most intelligent AI model yet. This new model greatly improves reasoning and understanding of different types of information. Users can now access Gemini 3 through the Gemini app, AI Studio, and Vertex AI. A special Deep Think mode for Ultra subscribers will be available soon. Google CEO Sundar Pichai noted the success of the Gemini era, with billions of users and millions of developers already using their AI products.

Google Gemini 3 Pro tops AI leaderboards

Google's Gemini 3 Pro AI model has become the top performer on most major LMArena leaderboards. In blind tests, it scored 1501 on the main Arena leaderboard, beating models like xAI's grok-4.1-thinking and Anthropic's Claude Sonnet 4.5. Gemini 3 Pro also showed big improvements over its previous version, Gemini 2.5 Pro, in areas like coding and vision. It leads in many specialized and professional categories, showing Google's strong position against competitors like OpenAI and Anthropic.

Google launches Gemini 3 AI and Antigravity IDE

Google has unveiled Gemini 3 Pro, its newest AI model, which marks a step closer to artificial general intelligence. This model shows improved reasoning and better understanding of text, images, and video. Gemini 3 Pro achieved a top score of 1,501 on the LMArena leaderboard and set new records in math and coding benchmarks. It also offers richer outputs, like managing emails, and will soon have a Deep Think mode for complex problems. Alongside Gemini 3, Google introduced Antigravity, a new AI-first development platform that uses intelligent agents to help developers.

Gemini 3 Pro powers multimodal AI workloads

Google has released Gemini 3 Pro, a new AI model designed for advanced multimodal tasks. This model uses a sparse Mixture of Experts transformer architecture and can process up to 1 million tokens of text, images, audio, and video. Gemini 3 Pro shows significant improvements over previous models in reasoning and understanding, scoring high on benchmarks like Humanity's Last Exam and ARC AGI 2. It is available in preview across various Google products, including the Gemini app and Google Antigravity. The model was trained from scratch using a wide range of data and runs on Google Tensor Processing Units.

Google Gemini 3 doubles AI reasoning performance

Google's Gemini 3 model has achieved a major breakthrough on the ARC-AGI benchmark, doubling the previous best performance. The Gemini 3 Pro scored 31.11% on the challenging ARC-AGI-2 evaluation, while the Deep Think preview version reached 45.14%. This benchmark, created by Google researcher François Chollet, tests an AI's ability for novel reasoning and abstract thinking, which are key to artificial general intelligence. While the Deep Think version performs better, it costs significantly more per task. This achievement marks a substantial leap forward in AI reasoning capabilities.

Google Gemini 3 Pro dominates AI benchmarks

Google has released Gemini 3 Pro, its newest AI model, which shows leading performance across many industry benchmarks. It outperformed competitors like Anthropic and OpenAI in most tests, especially in mathematical reasoning and coding tasks. Gemini 3 Pro achieved a perfect 100% on AIME 2025 and significantly improved visual reasoning with a 31.1% score on ARC-AGI-2. The model also demonstrated strong multimodal understanding and agentic capabilities, intensifying the competition in the generative AI market.

Brands discuss smart AI investments at Glossy event

On November 18, 2025, brand executives gathered virtually for Glossy's AI Commerce Strategies Town Hall. Many companies want to use artificial intelligence but are unsure how to begin investing in it. During the event, reporters and editors shared what their sources said about AI's impact. Attendees also asked questions about how others are using AI in their businesses.

Retail brands explore AI investment strategies

Brand executives are looking to adopt artificial intelligence but often do not know where to start. This was a main point from the virtual AI Commerce Strategies Town Hall, held for Modern Retail+ and Glossy+ subscribers. Reporters and editors shared insights from their sources on how AI affects their work. Attendees also discussed their questions about how other companies are using AI.

Summit Finviora AI trading platform reviewed

Summit Finviora is a new AI-powered trading software launched on November 17, 2025, designed for both new and experienced traders. It uses advanced artificial intelligence and algorithms to analyze markets 24/7, helping users find profitable opportunities and execute trades quickly. The platform offers both automated and manual trading modes, along with a user-friendly interface. Traders can start with a minimum investment of $250 and use a free demo mode to practice. Summit Finviora supports various assets like cryptocurrencies, stocks, and forex, and is available in most countries except the USA.

CNCF sets AI standards for Kubernetes

On November 18, 2025, the CNCF established new standards for running AI workloads on Kubernetes. This program helps ensure that AI models can run reliably across different platforms without needing major re-engineering. Initial certified platforms include Amazon EKS, Google GKE, and Microsoft Azure, with Version 2.0 planned for 2026. The standards cover key areas like GPU integration, networking, and resource scheduling for AI training and inference. This initiative helps reduce risks and costs for businesses using AI, especially those with multi-cloud or hybrid strategies.

AI investing faces reckoning for 2026

On November 18, 2025, global markets saw heavy selling, signaling a major shift in how investors view AI. The AI-driven stock rally now requires real proof of financial returns, not just momentum. Nvidia's upcoming earnings report will be a key test for the entire AI market. Investors are now demanding clear visibility, consistent results, and accountability from companies. Businesses like Alphabet and Amazon that show measurable gains from AI investments are performing better than those relying on future promises. This reassessment, along with geopolitical factors, will shape AI investing in 2026.

AI investment doubts cause global market selloff

On November 18, 2025, global markets experienced a selloff, with European and Asian stocks falling after Wall Street. This decline happened as investors began to question if the large investments made by the tech sector in artificial intelligence would truly pay off. The market's uncertainty reflects a growing need for clear returns from AI technologies.

TruTrade combines RipperOne and QuickFund AI

On November 18, 2025, TruTrade launched a new integrated trading platform combining its RipperOne AI and QuickFund AI. RipperOne AI is an autonomous engine that uses real-time market data to execute trades with precision and speed, helping traders reduce emotional decisions. QuickFund AI provides qualified traders with quick access to trading capital, ranging from $50,000 to millions. This unified system aims to simplify and automate professional-grade trading, giving users the tools and capital needed for success in volatile markets.

China's Tsinghua University leads AI patents

On November 18, 2025, Tsinghua University in Beijing was highlighted for fueling China's AI boom, holding more AI patents than Harvard or MIT. This university is a top institution for science and technology, with its alumni founding successful AI startups like DeepSeek. Tsinghua also leads global computer science rankings and has more highly cited AI research papers than any other university. This success reflects China's national strategy to become an AI superpower, including teaching AI from elementary school and graduating millions of STEM students.

Lawmakers propose AI help for small businesses

On November 18, 2025, lawmakers introduced two bipartisan bills to help small businesses adopt artificial intelligence. The AI WISE Act, proposed by Representatives Hillary Scholten and Marc Molinaro, would create AI training programs and materials through the Small Business Administration. Another bill, from Representatives Kevin Mullin and Zach Nunn, would empower Small Business Development Centers to offer AI guidance and workshops. These measures aim to give small firms the resources and confidence to use AI tools, helping them improve efficiency and stay competitive.

Apple's future relies on AI hardware fusion

Ben Bajarin, CEO of Creative Strategies, stated that Apple's future growth depends on combining AI software with new hardware. He noted that NVIDIA continues to dominate the AI infrastructure market, with massive investments in new data centers for AI. For Apple, Bajarin believes the next growth phase will involve a transformative hardware cycle focused on AI, including new products like AI wearables and AR glasses. He emphasized that Apple's next CEO will need strong expertise in both hardware and software to integrate advanced AI into these next-generation devices. This strategic fusion will be key to Apple's continued expansion.