Technology

Google’s Gemini AI App Surpasses 750 Million Monthly Active Users

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Illustration showing a global AI assistant connecting smartphones, laptops, and smart devices worldwide.

Google’s AI assistant app, Gemini, has achieved a significant milestone by surpassing 750 million monthly active users (MAUs) as of the end of December 2025.

This represents a notable increase from 650 million MAUs in the previous quarter, driven by the rollout of the advanced Gemini 3 model and enhanced integrations across Google services like Search and Android.

The figure, shared during Alphabet’s Q4 2025 earnings call, underscores Gemini’s rapid adoption and positions it among the largest consumer AI platforms globally.

CEO Sundar Pichai highlighted the growth during the earnings update, noting that Gemini now processes over 10 billion tokens per minute via API usage, reflecting high engagement per user.

The app’s expansion includes free tiers, paid subscriptions shareable with up to five family members, and promotional offers like 12 months free for college students, contributing to its widespread appeal. Gemini’s integration as the default AI assistant on modern Android smartphones has further boosted its user base.

Compared to rivals, Gemini trails ChatGPT’s estimated 800 million weekly active users but has overtaken Meta AI in scale, signaling Google’s dominance in AI distribution through its ecosystem.

The growth from 450 million MAUs at the start of 2025 to 750 million by year-end illustrates the accelerating adoption of generative AI tools in everyday tasks.

This milestone highlights how AI assistants are becoming integral to digital life, with Gemini’s features like image generation and query processing enhancing user interactions across platforms.

Compared to rivals, Gemini trails ChatGPT’s estimated 800 million weekly active users but has overtaken Meta AI in scale amid controversies like Grok AI’s global outrage over sexualized images. Gemini’s features, like image generation, echo advancements in Google’s AlphaGenome AI for human genome research.”

SpaceX Shifts Focus to Self-Growing Moon City, Elon Musk Announces

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Elon Musk has revealed that SpaceX is prioritizing the development of a self-growing city on the Moon over its long-term Mars colonization plans.

In a post on X on February 8, 2026, the CEO explained the strategic shift, noting that a lunar settlement could be achieved in less than 10 years, while a similar project on Mars might take over 20 years.

Musk emphasized that securing the future of civilization is the overriding priority, and the Moon offers a faster path due to more frequent launch opportunities compared to Mars, where planetary alignments limit missions to every 26 months.

The announcement marks a pivot for SpaceX, which has long been associated with Musk’s ambition to make humanity multi-planetary, starting with Mars. However, recent developments highlight the company’s growing emphasis on lunar exploration.

SpaceX plans an uncrewed lunar landing by March 2027, aligning with NASA’s Artemis program, where the Starship vehicle will play a key role in human Moon missions.

Musk stated that Mars efforts will still begin within five to seven years, but the Moon’s shorter trip time (two days versus six months to Mars) and easier logistics make it the immediate focus.

This change comes as SpaceX advances its Starship rocket, designed for both Moon and Mars missions. The company has conducted multiple test flights, with orbital refueling, a critical step for deep-space travel remaining a challenge.

Musk’s vision for a self-growing lunar city involves autonomous expansion, potentially using in-situ resources like lunar regolith for construction and solar power for sustainability.

The shift has implications for NASA’s goals and international partnerships, as SpaceX’s role in Artemis accelerates Moon base plans.

Critics note the ambitious timelines, but Musk’s track record with rapid innovation fuels optimism. SpaceX continues to eye Mars, with concept art showing futuristic settlements, but the Moon now takes precedence.

This update underscores Musk’s pragmatic approach to space exploration, balancing long-term dreams with achievable milestones.

Google Introduces AlphaGenome, an AI Tool to Uncover Human DNA Mysteries

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Google logo on modern building exterior headquarters

Google DeepMind has introduced AlphaGenome, a deep learning AI model designed to advance understanding of the human genome by predicting how DNA sequences influence gene activity.

The tool, announced on January 28, 2026, can process up to one million DNA base pairs in a single context window, offering unprecedented accuracy in analyzing regulatory elements and variant effects.

AlphaGenome was trained on extensive datasets from human and mouse genomes, enabling it to map functional elements in non-coding DNA, often called the genome’s “dark matter,” and predict how single-letter mutations or distant regions affect gene expression.

This capability addresses a long-standing challenge in genetics, where only a small fraction of DNA codes for proteins, while the majority regulates processes linked to health and disease.

The model excels at identifying causal variants in genetic studies, potentially accelerating discoveries for conditions such as cancer, diabetes, and rare disorders.

By simulating how changes in DNA sequences alter regulatory activity, AlphaGenome provides insights that could guide targeted therapies and personalized medicine. DeepMind has released the source code, allowing researchers worldwide to build on the tool and adapt it for specific studies.

This development builds on DeepMind’s AlphaFold series, which revolutionized protein structure prediction, extending similar AI-driven approaches to genomic regulation.

The tool’s large context window and comprehensive predictions set it apart from previous models, promising to speed up functional genomics research and improve interpretation of genome-wide association studies.

AlphaGenome’s launch highlights AI’s growing role in biology, offering a powerful resource for unraveling the complex instructions encoded in DNA.

AlphaGenome’s launch highlights AI’s growing role in biology, similar to advancements in Nigeria’s fintech sector with CBN upgrades.