Regulation here, regulation there, regulation in reverse, regulation everywhere. Both the EU and the U.S. are locked in major AI policy battles. Europe is moving to loosen parts of its strict GDPR and AI Act to boost innovation, while the U.S. federal government is pushing for total control, even threatening to sue states that don’t follow federal AI rules. The political drama is just getting started. Meanwhile, Google is shipping Gemini 3 and innovating at breakneck speed, and that’s without fully tapping into the massive user data advantage it sits on. Imagine what happens when they finally do. Let’s dive in. Stay curious.
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Is Gemini 3 the best LLM out there today?Google launched Gemini 3, its most advanced AI yet, combining state-of-the-art reasoning, multimodal intelligence, and powerful agentic capabilities. Adoption of the Gemini ecosystem has surged to 650M monthly app users, 2B AI Overview users, 13M developers, and 70% of Cloud customers now use its models. Gemini 3 Pro tops global benchmarks with 1501 Elo on LMArena, 91.9% on GPQA Diamond, strong multimodal scores like 87.6% on Video-MMMU, and a 1M-token context window. The new Deep Think mode pushes reasoning even further, achieving 93.8% on GPQA and 45.1% on ARC-AGI-2. Gemini 3 helps users learn, build, and plan by analyzing long papers, videos, recipes, or sports footage, while powering new interactive visuals in Search. For builders, it leads in coding benchmarks, integrates with tools like Cursor and Replit, and unlocks Google’s new agent-first platform, Antigravity, which can autonomously plan and execute complex software tasks. Gemini 3 also improves long-horizon planning for real-life workflows like booking services or organizing email. It’s Google’s most rigorously tested and secure model to date and is rolling out now across the Gemini app, Search, Vertex AI, and AI Studio. 🛠️ AI Jobs CornerApply Today - Open Positions.
Europe to loosen up its AI regulationsEurope is rolling back parts of the GDPR and the AI Act after years of leading the world in strict tech regulation. Under pressure from Big Tech, the U.S. government, and internal economic concerns, the European Commission is proposing major changes that make it easier for companies to share anonymized data and even use personal data to train AI models under certain conditions. High-risk AI rules from the 2024 AI Act will also be delayed until proper “standards and tools” are available, effectively pushing enforcement back. The overhaul also targets Europe’s most hated feature: cookie pop-ups. Many “non-risk” cookies would no longer trigger banners, and browser-level controls would replace constant consent windows. Additional changes include simplified AI documentation for small companies, unified cybersecurity reporting, and centralized AI oversight. Critics say Brussels is “bowing to Big Tech,” warning the move weakens fundamental safeguards. Supporters argue Europe must cut red tape to revive growth and stay competitive as it trails the U.S. and China in AI. The proposal now heads to Parliament, where months of political fighting are expected. 🧰 AI Tools of The DayLegal AI Tools
Federal Government Wants Total AI ControlTrump is preparing an executive order that would strip states of the power to regulate AI and give the federal government full control. A leaked draft shows the creation of a DOJ-led “AI Litigation Task Force” designed to sue states whose AI laws slow industry growth, targeting California’s safety rules and Colorado’s anti-bias laws. The order directs agencies like the FCC, Commerce, and FTC to find ways to override state regulations within 90 days, including threatening states with the loss of federal broadband funds. Trump frames the move as a fight against “woke AI” and says companies shouldn’t face 50 different standards. Critics warn the plan could spark major legal battles, but even the threat of federal lawsuits could chill state-level AI protections. The executive order acts as a fallback if Congress fails to pass a nationwide moratorium on state AI laws through the upcoming NDAA. 🚀 Showcase Your Innovation in the Premier Tech and AI Newsletter (link) As a vanguard in the realm of technology and artificial intelligence, we pride ourselves in delivering cutting-edge insights, AI tools, and in-depth coverage of emerging technologies to over 55,000+ tech CEOs, managers, programmers, entrepreneurs, and enthusiasts. Our readers represent the brightest minds from industry giants such as Tesla, OpenAI, Samsung, IBM, NVIDIA, and countless others. Explore sponsorship possibilities and elevate your brand's presence in the world of tech and AI. Learn more about partnering with us. You’re a free subscriber to Yaro’s Newsletter. For the full experience, become a paying subscriber. Disclaimer: We do not give financial advice. Everything we share is the result of our research and our opinions. Please do your own research and make conscious decisions. |
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Thursday, November 20, 2025
🤔Is Gemini 3 the best LLM out there today?
Tuesday, November 18, 2025
🧭Will Spatial Intelligence Save AI?
🧭Will Spatial Intelligence Save AI?Plus: Why Car Companies Are Becoming Robotics Companies?
Greetings Team, The godmother of modern AI says LLMs have hit the ceiling; more text and images won’t unlock the next leap. Fei-Fei Li and Yann LeCun, who just parted ways with Meta, are now betting on the next frontier, “spatial intelligence,” the ability for AI to understand and operate in the real world. Automakers are paying attention too. Tesla, Xpeng, Hyundai, and others are pivoting from cars to humanoid robots, signaling a shift toward a robotic, spatially aware future. Today, we break down what’s happening, why it matters, and the tools shaping this new wave of AI. Stay curious.
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Why Car Companies Are Becoming Robotics Companies?Carmakers are racing to build humanoid robots, turning the auto industry into a robotics industry.
How are China's Automakers and Tech Giants responding?China’s automakers and tech giants are racing into humanoid robotics just as aggressively as Tesla, often faster.
China also installs over 50% of all industrial robots globally, giving it a major data and scale advantage. With cheaper components and huge EV supply chains, Chinese companies may mass-produce humanoid robots years sooner and far cheaper than the U.S. and Europe. One small AI shift can 10× your resultsBig breakthroughs rarely come from doing more. That’s what the AI Edge Digital Summit (Nov 18–20) is all about—discovering the smartest ways to use AI so you can: It’s not about becoming an “AI expert.”
Will Spatial Intelligence Save AI?AI has mastered language. The next race is mastering space, which is teaching models to understand the physical world so they can power robots, autonomous vehicles, AR, and real-world automation. We live in a real world and start learning it as soon as we are born. That is how we walk around walls and into and out of places without hitting walls, and how we learn how to drive, by mastering our surroundings and improving our spatial intelligence. Now, LLMs need to master this to get AI models to the next level, and Fei-Fei Li and Yann LeCun, who are the pioneers of the technology, are ready to provide the tools to teach AI to master our surroundings. Why Spatial Intelligence MattersToday’s LLMs are fluent but “blind.” They don’t understand objects, physics, depth, or how a scene changes over time. Spatial intelligence fixes that. Models learn to:
This is the missing piece for autonomous cars, warehouse robots, home robots, AR glasses, and industrial digital twins. Fei-Fei Li: Turning Images Into 3D WorldsFei-Fei Li (creator of ImageNet) is now building the 3D foundation AI models need. Her new company, World Labs, has raised over $230M to create massive 3D training environments for AI. Their flagship product: Marble
This is essentially ImageNet for 3D actions, powering the next generation of embodied AI. It will teach robots and AV to navigate environments a lot better, and with access to trillions of data sets to teach them faster, something unimaginable in the real world. Yann LeCun is Building the Brain for the Physical WorldMeta’s former Chief AI Scientist, Yann LeCun, is leaving to launch a startup focused on world-model AI systems that can predict the future state of the world. His thesis:
LeCun is building the cognition layer that will sit inside robots, vehicles, and smart devices. Why This Is the Future of AIThis shift is driven by massive market pull:
Spatial intelligence is basically AI that can operate in the real world, not just on screens. We’re moving from chatbots that talk about the world to AI systems that can see, navigate, and manipulate the world. Fei-Fei Li is building the world, Yann LeCun is building the brains, and companies are building the hardware and software that will need Fei-fei and Yann’s creation to train and operate successfully. This is the shift that will power the next trillion-dollar platforms.
Get practical tool reviews, strategic frameworks, and actionable workflows that actually move the needle. Skip the AI hype. 📚 AI Learning ResourceSpatial Intelligence
🧰 AI Tools of The DaySpatial Intelligence
🚀 Showcase Your Innovation in the Premier Tech and AI Newsletter (link) As a vanguard in the realm of technology and artificial intelligence, we pride ourselves in delivering cutting-edge insights, AI tools, and in-depth coverage of emerging technologies to over 55,000+ tech CEOs, managers, programmers, entrepreneurs, and enthusiasts. Our readers represent the brightest minds from industry giants such as Tesla, OpenAI, Samsung, IBM, NVIDIA, and countless others. Explore sponsorship possibilities and elevate your brand's presence in the world of tech and AI. Learn more about partnering with us. You’re a free subscriber to Yaro’s Newsletter. For the full experience, become a paying subscriber. Disclaimer: We do not give financial advice. Everything we share is the result of our research and our opinions. Please do your own research and make conscious decisions. © 2025 Yaro Celis |







