
Meta builds world's largest AI superclusters for the future
Recently, Zuckerberg unveiled plans to invest "hundreds of billions of dollars" into next-generation AI infrastructure, including some of the largest compute clusters the world has ever seen. Meta's first supercluster, called Prometheus, is slated to go live in 2026.
But that's just the beginning. Another cluster, Hyperion, is being designed to scale up to a mind-blowing 5 gigawatts of compute power over the next few years. "We're building multiple titan clusters," Zuckerberg said in a Facebook post. "Just one of these covers a significant part of the footprint of Manhattan."
Sign up for my FREE CyberGuy ReportGet my best tech tips, urgent security alerts, and exclusive deals delivered straight to your inbox. Plus, you'll get instant access to my Ultimate Scam Survival Guide - free when you join my CYBERGUY.COM/NEWSLETTER
The answer is simple: compute power is now the most valuable resource in AI development. As generative AI, robotics and large language models become more sophisticated, they demand exponentially more data and processing capacity.
Meta's planned superclusters, beginning with Prometheus, will be capable of training ultra-large AI models faster and more efficiently than ever before. According to industry publication SemiAnalysis, Meta could become the first AI company to launch a supercluster exceeding one gigawatt of compute power. That's a serious leap and a direct shot at competitors like OpenAI, Google DeepMind and Anthropic.
To supercharge this effort, Meta recently launched Meta Superintelligence Labs, a new elite division focused entirely on next-gen AI development. The lab is being led by Alexandr Wang, former CEO of Scale AI, and Nat Friedman, ex-GitHub chief. In a major signal of intent, Meta invested $14.3 billion in Scale AI and has reportedly poached top talent from Apple, OpenAI and Anthropic to join the effort.
"I'm focused on building the most elite and talent-dense team in the industry," Zuckerberg said.
He's putting his money where his mouth is, literally. Meta is offering some AI recruits up to $100 million in compensation as it rushes to assemble a dream team of AI researchers and engineers.
It's no secret that Meta has struggled to keep pace with the AI breakthroughs happening at rival labs. The company's Llama 4 large language models received a lukewarm reception earlier this year. Now, Meta is retooling. The investment in infrastructure, talent, and research is Zuckerberg's way of leveling the playing field-and possibly pulling ahead. In April, Meta increased its 2025 capital expenditures to $64-72 billion, a massive chunk of which will go toward AI development. These numbers aren't just headline-grabbing, they're a clear signal that Meta is done playing catch-up.
You might be wondering how Meta's massive investment in AI superclusters actually affects your life. As Meta builds out these enormous compute clusters, the AI systems they train will become faster, smarter and more deeply integrated into the apps and services you already use.
Everything from your Instagram feed to your Facebook search results will be powered by increasingly intelligent algorithms. Virtual assistants will respond more naturally, recommendations will become eerily accurate, and features in Meta's AR and VR platforms, like Meta Quest, will get significantly more advanced. Even the ads you see will be more personalized, based on AI's growing ability to predict what you might want before you even search for it.
In short, while you might not see these superclusters, you'll definitely feel their impact, every time you scroll, swipe, tap or speak to an AI-powered device.
Meta isn't just investing in AI. It's reshaping the future of it. With billions earmarked for superclusters, an elite team of researchers and cutting-edge infrastructure, the company is placing one of the largest tech bets in history. If it succeeds, Meta could lead the next era of AI. If it fails, it will have spent unprecedented sums chasing a dream that others already control.
Is Meta building the future of AI or just trying to buy its way back into the race? Let us know by writing us at Cyberguy.com/Contact
Sign up for my FREE CyberGuy ReportGet my best tech tips, urgent security alerts, and exclusive deals delivered straight to your inbox. Plus, you'll get instant access to my Ultimate Scam Survival Guide - free when you join my CYBERGUY.COM/NEWSLETTER
Copyright 2025 CyberGuy.com. All rights reserved.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


New York Post
a minute ago
- New York Post
Aby Rosen's Seaport office tower at 17 State St. bouncing back with new lease deals
Leasing is brisk at 17 State St. near the Seaport since RFR Realty refinanced the harbor-facing, 571,000 square-foot office tower in January. The refi was one of three that RFR head Aby Rosen pulled off on previously strained properties — the other two were retail portions of 670 Sixth Ave. and 150 E. 72nd St. At 17 State St., which RFR has owned for 25 years, five renewals totaled 68,362 square feet. The largest was for Alphadyne Investment Management, which renewed early on 43,872 square feet. Rosen, who's shored up his formerly under-siege empire one property at a time, also signed deals with three new tenants totaling over 12,000 square feet, including AI-powered life insurance tech firm Optifino. Advertisement At 17 State St., which RFR has owned for 25 years, five renewals totaled 68,362 square feet. RFR The 4,300 square-foot amenities space on the third floor. RFR Meanwhile, 17 State launched a new, 4,300 square-foot amenities space on the third floor. The Liberty Lounge and Conference Center boasts a lounge, cafe, library, screening room and ornamental foliage as an homage to nearby Battery Park. Advertisement As per CoStar, the tower is 89% leased. Asking rents range from $65 to $75 per square foot. The reinvestment and repositioning of 5 Penn Plaza continues to pay off for investor-landlord Stephen Haymes. The 1916 structure between West 33rd and 34th streets landed another new tenant — Fireblocks, a blockchain security platform that helps to store, transfer and manage cryptocurrencies and other digital assets. The firm, which is moving and expanding from 441 Ninth Ave., signed for 35,000 square feet on the entire 23rd floor and part of the penthouse with a wraparound terrace. Advertisement The building boasts a new lobby, open views, an amenities center and a dog-friendly roof terrace, and is more than 85% leased. Asking rents are in the $70-$80 per square foot range. A JLL team led by Mitchell Konsker represented the landlord. Newmark's Aaron Ellison and Adam Spector repped the tenant.


Entrepreneur
a minute ago
- Entrepreneur
The One Real Problem You Must Solve to Make Your Startup Succeed
Some of the most successful startups didn't start with a business plan. They started with a problem. More specifically — a personal pain point. Opinions expressed by Entrepreneur contributors are their own. Dropbox was born because Drew Houston was sick of emailing himself files. ConvertKit came from a blogger who was tired of clunky email automations. Notion grew out of the chaos of managing scattered notes and documents. These weren't random startup ideas pulled from a pitch deck. They were solutions to personal problems. And that's what made them powerful. When you build what you need, you shortcut months of guesswork. You skip the focus groups, the theoretical personas and the assumptions. You already understand the problem deeply because you live it. Related: Got a Startup Idea? Here's What It Really Takes to Make It Work Start with friction, not vision The first step to building a meaningful product isn't to identify a trendy niche or chase a hot market. It's to pay attention to the moments in your day that feel harder than they should. The tasks you procrastinate. The tools you silently curse. That friction is your opportunity. Forget disruption. Forget scale. The best early-stage products come from irritation, not inspiration. What's broken in your workflow? What are you duct-taping together every week just to get by? Start there. That's where urgency and empathy already live. Talk to people like you Once you spot a problem, skip the massive surveys. Talk to a handful of people who share your situation. If you're a freelancer, speak with freelancers. If you're a working parent with a side hustle, speak with others juggling the same chaos. The more overlap between you and your early users, the faster you'll know if this is a real pain or just a minor inconvenience. What you're looking for is emotional signal — frustration, not politeness. You want someone to say, "I'd pay for that today." Build the painkiller, not the platform You don't need to launch a polished product. In fact, polish is usually a waste early on. Your first version can be a spreadsheet, a Notion template, a Zapier automation — whatever works. The goal is to prove the fix, not win design awards. Don't aim for elegance. Aim for utility. If it works, users won't care that it's scrappy. Test willingness to pay as soon as possible This is where most people hesitate. But if your product solves a real problem, people will pay — even if it's ugly. Even if it's early. Real payment is the difference between "interesting idea" and "actual business." And it doesn't have to be much. Charge a small onboarding fee or ask for a credit card to reserve early access. You're not trying to trick anyone. You're testing commitment. Too many founders wait until everything is perfect before asking for money. By then, they've burned time, budget and momentum. Pricing is feedback. So get it early. Narrate the build, don't just build While you're creating your product, share the journey. Post what you're building, what you're stuck on and what you're learning. Whether it's Twitter, LinkedIn or a Substack, showing your process builds trust. You're not selling — you're storytelling. And that attracts the right people: others who feel the same pain you're solving. Make your first users successful Don't rush to scale. If you're still explaining what your product does, you're not ready to grow. Focus instead on helping your early users get results. Support them. Follow up. Ask who else they know who needs this. Word-of-mouth isn't a viral fluke — it's the byproduct of usefulness. Related: The One Simple Task That Will Help Your Startup Succeed Build from conviction, not theory When you build for yourself, you don't need to fake insight. You don't have to invent personas. You already understand the stakes. That shows up in the product, the copy and the customer experience. And most importantly, it builds trust. You're not a startup guessing at what might matter—you're a person solving something that already does. Drew Houston didn't plan on building a billion-dollar company. He just wanted a faster way to move his files. That pain became Dropbox — and millions of others felt it too. You don't need permission. You don't need a grand strategy. You need to notice the problem that keeps nagging at you — and build the thing you wish already existed. That's where real businesses begin. Ready to break through your revenue ceiling? Join us at Level Up, a conference for ambitious business leaders to unlock new growth opportunities.


Entrepreneur
a minute ago
- Entrepreneur
How to Make Sure ChatGPT Recommends Your Products — Not Your Competitor's
AI is changing how people shop — if you're still relying on SEO, you're already behind. Optimize for AI to stay visible. Opinions expressed by Entrepreneur contributors are their own. A major shift is underway in the way consumers discover, research and purchase products online — and it's being driven by artificial intelligence. OpenAI is rolling out new features and exploring integrations with platforms like Shopify that could allow users to shop directly through ChatGPT. This means customers could search for and buy products from Shopify merchants without ever leaving a chat interface. For decades, online shopping began with a Google search. Consumers typed in keywords, skimmed links, compared reviews and then clicked "buy." That model is quickly being replaced by something faster, smarter and more personalized: AI-assisted shopping. According to Adobe Analytics, 39% of U.S. consumers say they've already used generative AI for shopping-related tasks. More than half (53%) plan to use it this year to research products, get gift ideas, compare pricing and discover unique brands. Instead of browsing dozens of web pages, AI assistants summarize product options instantly, personalize recommendations and even build shopping lists tailored to individual needs. Here are the latest developments you need to know: Related: The Future of SEO — 3 Trends Every CEO Should Know AI-powered shopping: what's already happening This shift isn't just theoretical — it's already taking shape: Even before fully integrating with Shopify, Open AI has improved ChatGPT's product search and memory, allowing customers to buy products surfaced by AI chat responses. Amazon recently launched a "Buy for Me" feature that allows AI agents to purchase products from other brand websites when they aren't available on Amazon. Perplexity introduced a Pro Shopping Assistant in 2024, designed to streamline decision-making by providing AI-curated product summaries This new generation of intelligent shopping tools is redefining what it means to be "discoverable." For e-commerce brands, that means adapting fast, or risk being left out of the conversation entirely. What does this mean for your business? To stay competitive in an AI-driven marketplace, brands must rethink how they present their products online. Here are five practical steps you can take today: Step 1: Shift from SEO to AEO Search engine optimization (SEO) dominated digital marketing for decades. Brands invested heavily to optimize their websites and content with keywords for search engines – a race to be listed at the top of Google's search results. That's how companies stood out among competitors, driving traffic and boosting sales. But searching for products on Google forces consumers to scroll through various websites and click a lot of links to read reviews, compare product features and evaluate pricing and shipping times. While convenient and fast compared to traditional, in-person shopping, AI now offers an even more efficient shortcut. AI chatbots can instantly search everywhere, scouring the Internet for websites and feedback, and then provide an easy-to-follow summary of findings. With customers increasingly using AI instead of Google to shop, SEO is becoming less relevant. In addition to SEO, what you now need is a way to make sure your products are included in ChatGPT's recommendations and responses. Answer engine optimization (AEO) is the new SEO. While this shift is just getting underway, tech and consumer behavior are moving fast. If you want to stay ahead of the competition, you need to start adapting your strategies now to optimize for AI. Step 2: Make sure AI can understand and recommend your products As platforms like Shopify become more integrated with AI systems, you want to make sure the AI chatbot suggests your products, not your competitor's. To be recommended, brands need to organize and present their data in a way that's accessible and readable by ChatGPT. And, as consumers engage in conversation with chatbots – by adding or taking away criteria, for example – updated responses will surface in real-time. Brands will need support designing their Shopify storefronts and listings in order to stay ahead of ChatGPT's nuanced recommendation engine. That means: Optimizing your Shopify product listings with clear, conversational copy Using standardized formats for pricing, availability and shipping Highlighting your most competitive features in plain language When consumers interact with AI assistants — adding preferences or asking follow-up questions — the AI dynamically updates recommendations. If your product data isn't accessible or detailed enough, your brand could be left out. My company, FORE Enterprise, is developing infrastructure to support both customers and brands through this AEO shift. By connecting your company's own data to ChatGPT, we help ensure the accuracy of the information shoppers receive about your brand. Related: Predictive AI Search Is Here — Is Your Brand Ready for It? Step 3: Differentiate or disappear AI assistants rely on data to make decisions, and that means only the best-positioned products will be recommended. To stand out, you need to clearly communicate: What makes your product different Why it's worth the price What value it offers over similar options Ask yourself: If a consumer were using a chatbot to shop, what would they want to know about your product? Price? Durability? Eco-friendly packaging? Award-winning design? Start by identifying your brand's unique value propositions, then ensure those qualities are clearly reflected in your listings and website content. Step 4: Write like a human, not a spec sheet AI tools like ChatGPT rely on natural language understanding, so your product pages need to speak the way humans do. Instead of jargon-heavy descriptions or overly technical language, focus on conversational, customer-focused storytelling: Answer common questions customers might ask Highlight use cases and real-life benefits Use bullet points, bold text and digestible formatting The more your content resembles how people actually talk and shop, the easier it is for AI to understand — and recommend — your products. Step 5: Start now — not later The AI shopping revolution is happening quickly. While the concept of AEO is still evolving, the companies that move first will have the biggest advantage. Right now, there's a narrow window to position your brand at the forefront of AI-driven discovery. This means: Auditing your product content and structure Rewriting listings for clarity and AI-readability Partnering with experts to connect your data to AI platforms Final thought: adapt early, win big This isn't just a new tech trend. It's a fundamental change in how people find, evaluate and purchase products online. Brands that succeed in the next era of e-commerce will be those that understand how AI thinks, speaks and recommends. If you want to ensure your products are seen — and bought — you need to act now. Let AI work for you, not against you. Ready to break through your revenue ceiling? Join us at Level Up, a conference for ambitious business leaders to unlock new growth opportunities.