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The $9 Billion Move That Could Change AI Forever
Last week, Google announced a $9 billion investment in Oklahoma to build massive data centers that power AI. These centers will make AI tools faster and more reliable, while also creating jobs in the region. At the same time, Google is putting $1 billion into AI education at over 100 universities, helping students and researchers learn the skills of the future. In short: Google is betting big on AI — not just with machines, but with people too.
Last week, the Chinese AI company DeepSeek had to push back the launch of its new model. The problem wasn’t the AI itself, but the computer chips it needs to run. To train the system, DeepSeek used Nvidia’s world-leading chips, which worked very well. But for everyday use, they wanted to switch to Huawei’s own chips. These weren’t strong enough yet, so the model didn’t perform as expected.
Is GPT-5 showing us the limits of AI
GPT-5 came out, and many people expected a huge jump forward. But for most users, it felt only a little better than GPT-4 — smarter in details, yes, but not the big “wow” moment everyone hoped for.
This raised a simple question: is AI slowing down? For years, progress felt explosive, each new model a big leap. Now, the changes feel smaller. Some worry we’re hitting limits, others believe it’s just a pause before the next breakthrough.
For everyday people, the takeaway is clear: AI is still improving, just not as dramatically as before — and that’s okay. Progress often comes in steps, not in miracles.
Is Meta Building the First Real Superintelligence?
Meta made headlines with one of its boldest announcements yet: its AI systems have started to improve themselves without human help. Mark Zuckerberg even revealed that Meta has built a new research hub in California, called Meta Superintelligence Labs, where this project—nicknamed “Behemoth”—is being developed under strict security.
What makes this so striking is the change of direction: for years, Meta was known for releasing its AI models openly to the public. Now, for the first time, Zuckerberg says the most advanced versions will stay behind closed doors. The reason? Safety. He explained that the power of these systems is growing so quickly that it could be risky to just put them out into the world without limits.
In simple terms: Meta believes we are stepping into an era where AI is smart enough to learn on its own. That’s exciting—because it points toward superintelligent machines—but also unsettling, because it raises the question of how much control humans will really have.
The AI Underdog Worth $20 Billion
Last week, the AI startup Perplexity became one of the most talked-about companies in tech. In just over a year, its value jumped from half a billion dollars to an incredible 20 billion. The reason is simple: people enjoy using it. Unlike many other AI tools, Perplexity doesn’t just give you an answer — it actively searches the web while you ask, so the results feel more fresh, accurate, and useful. Investors like SoftBank and Nvidia see huge potential, and the company is already dreaming big with its own AI browser called Comet, and even rumors about trying to buy Google Chrome. It’s a story that shows how quickly things can move in AI when technology is paired with something people truly find helpful.
Powerful AI, Weak Chips: Why DeepSeek Had to Wait
This shows a bigger picture: China wants to be more independent in AI, but for now it still relies heavily on foreign technology. Making chips as powerful as Nvidia’s takes years of research and billions in investment. DeepSeek’s delay is a reminder that in the race for AI, it’s not just about clever software – it’s also about having the right hardware to make it all work.
Personal words:
“Last week showed just how fast AI is moving, but also how many directions it’s taking. Google’s $9B investment highlights the huge push to build the foundations for future AI. GPT-5 is stronger, even if it’s not the giant leap many expected — maybe progress now means more than just size. Meta’s work on superintelligence is fascinating, though it also makes me wonder how carefully we’re balancing safety and innovation. Meanwhile, Perplexity’s rise to $20B proves that people love AI that feels simple and useful in daily life. And DeepSeek’s chip struggles remind us that even the smartest models need the right hardware behind them. My takeaway? AI is growing fast, sometimes in surprising ways, and while there are challenges, there’s also a lot of real progress to be hopeful about.”
"Thanks for reading — AI moves fast, but we make sure you never get left behind."
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