Google DeepMind Boasts Explosive Demand for Gemini 25 and Veo 3: Subtle Shade Thrown at OpenAI?

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In the fast-evolving world of AI, Google DeepMind is taking center stage with its latest breakthroughs: Gemini 2.5 and Veo 3. These advanced AI models have not only captivated global users but also sparked subtle tensions between tech giants. DeepMind CEO Demis Hassabis recently shared a wave of enthusiasm about the models’ popularity while simultaneously applauding Google’s chip engineers—and taking a lightly veiled jab at OpenAI CEO Sam Altman. This unfolding narrative, filled with impressive achievements and clever corporate banter, reflects the increasingly competitive AI arms race.

A Storm of Success: Gemini 2.5 and Veo 3 Take Off 🌐

Demis Hassabis, CEO of Google DeepMind, took to social platform X (formerly Twitter) to announce that the company’s latest AI video generation model, Veo 3, is experiencing “off the charts” demand. In just a matter of days, millions of videos were created using Veo 3—now also accessible via mobile and newly available in countries like the UK.

At the same time, Gemini 2.5, Google’s multi-modal AI powerhouse, has also seen a surge in user engagement. As the global appetite for generative AI continues to skyrocket, Google appears to be both meeting demand and reveling in its role as a leader in AI innovation.

In his post, Hassabis didn’t just celebrate user numbers. He also directed specific praise toward the company’s chip and infrastructure teams, crediting them for keeping the intense processing demands in check—especially with the company’s Tensor Processing Units (TPUs) under significant strain.

But beneath the praise lies a deeper layer. Hassabis’s gratitude included a not-so-subtle dig at OpenAI’s Sam Altman. Just weeks earlier, Altman admitted that OpenAI’s GPUs were “melting” from the heavy load caused by image generation trends within ChatGPT. As a result, OpenAI announced new rate limits, including restricting the free tier to just three image generations per day.

In contrast, Google seems to be suggesting that its infrastructure can handle scale better—without major compromises.

Google CEO Sundar Pichai also chimed in, replying to Hassabis’s post with a single, expressive emoji, which many interpreted as a cool, confident acknowledgment of their technological edge.

What Undercode Say: 🔍

This moment illustrates more than just a milestone in AI usage—it highlights the intensifying rivalry between OpenAI and Google DeepMind. While both organizations are creating revolutionary AI models, the way they handle scalability, infrastructure, and public perception couldn’t be more different.

Hassabis’s post was expertly crafted—not only to showcase the technical triumph of Veo 3 and Gemini 2.5, but also to subtly contrast DeepMind’s readiness against OpenAI’s growing pains. While OpenAI’s GPUs are “melting” under pressure, DeepMind is shining a light on its resilient chip teams and the high-performing TPUs they’ve built.

This signals a new era in AI, where hardware efficiency, sustainability, and infrastructure scalability become just as important as model performance. It’s not enough to develop advanced AI anymore—supporting ecosystems and the ability to scale globally without fail are now vital elements of success.

Moreover, Veo 3’s video generation capabilities arriving on mobile platforms and expanding to new markets like the UK shows Google’s aggressive rollout strategy. It’s clearly aiming to position itself not just as an innovator, but as a global enabler of next-gen AI content tools.

On the other hand,

The emoji response from Sundar Pichai might seem trivial, but in Silicon Valley, subtlety is everything. It was a public nod to Hassabis, reinforcing alignment at Google’s highest leadership levels.

This exchange reflects a bigger theme in tech: the importance of stability, foresight, and infrastructure investment. OpenAI may lead in public attention, but DeepMind is making a compelling case that it’s better prepared for the long game.

🧐 Fact Checker Results:

✅ Veo 3 has generated millions of videos in days—confirmed via official Google DeepMind posts.
✅ OpenAI acknowledged GPU strain and upcoming rate limits for free-tier ChatGPT users.
✅ Google’s Sundar Pichai did respond to Hassabis’s post with an emoji, corroborating the interaction.

🔮 Prediction:

With the current momentum, Google DeepMind is likely to gain further ground in the AI race, especially in areas requiring high-performance video generation and scalable infrastructure. OpenAI may pivot toward refining its backend and improving efficiency, but unless it solves the GPU bottleneck, it risks falling behind in delivering seamless user experiences—particularly as AI goes mainstream across mobile and global platforms.

References:

Reported By: timesofindia.indiatimes.com
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