Google Launches Gemini 3 & Antigravity
20th Nov | Superintelligence Newsletter
Hey Superintelligence Fam 👋
Google is making serious moves with the launch of Gemini 3 Pro and “Antigravity.” Beyond the impressive benchmarks, they’re offering a real glimpse into a future where agents handle the heavy lifting in development.
The broader ecosystem is loosening up, too. From fresh global funding streams to the EU surprisingly relaxing its regulatory grip, the usual speed bumps are vanishing, paving the way for faster deployment.
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Gemini 3 Pro Launch – Google AI : Google’s Gemini 3 Pro debuts with major leaps in multimodal reasoning, memory, and long-context performance - signaling Google’s strongest push yet to reclaim leadership in the global AI model race.
Trump–MBS Meeting Triggers AI Investment Wave : A strategic meeting between Donald Trump and Saudi Crown Prince MBS accelerates AI investment discussions, highlighting how geopolitical alliances are reshaping the flow of capital into emerging AI ecosystems.
EU AI Act & GDPR Changes : Europe considers loosening parts of the AI Act and GDPR, a dramatic shift that could ease restrictions for tech companies while raising new concerns about privacy, governance, and regulatory direction.
Gemini 3 : Google’s most advanced multimodal AI model yet, designed to reason, plan and create across text, image and code with unprecedented depth and reliability.
Google Antigravity : An “agent-first” integrated development platform where AI agents built on Gemini 3 manage coding tasks, debug, and deliver artifacts via a modern IDE workflow.
Grok 4.1 : The latest version of xAI’s conversational model, excelling in emotional intelligence, creative writing and tool-calling, tailored for more natural and nuanced human-AI interaction.
Weight-Sparse Transformers Have Interpretable Circuits : OpenAI trained transformers with ~0.1% non-zero weights, revealing ultra-compact neural circuits (~16× smaller than dense models) that are both necessary & sufficient for specific tasks.
Aligning Vision Models with Human Perception : DeepMind developed a three-step method using human odd-one-out tasks to realign model representations with human conceptual hierarchies, improving robustness, generalisation and few-shot performance.
Intelligence per Watt : Researchers at Stanford University and Together AI introduced the “IPW” metric (accuracy ÷ power) via an empirical study over 20+ models, 8 accelerators, 1 M queries: local inference hits ~88.7% coverage and improvement of ~5.3× from 2023-25.
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At COP30, leaders raised concerns about AI’s environmental impact and its growing energy–water footprint. Meanwhile, the EU introduced digital regulation simplification, delaying parts of the AI Act and loosening data protections - sparking fresh privacy and governance concerns.
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Superintelligence Team.
The Antigravity plaform concept is genuinely fascinating. Having AI agents handle the coding and debuging workflow could really accelerate developmnt cycles. It will be interestin to see how this compares to other agent based tools in real world production enviroments.