Artificial intelligence (AI) already shows up in your phone, your searches and plenty of apps you use every day. Now, some Silicon Valley investors are betting the machines behind those AI answers could one day run at sea.

A company called Panthalassa has raised $140 million in new funding to develop and deploy autonomous, floating AI computing nodes powered by ocean waves. The Series B round brings Panthalassa’s total funding to $210 million, a sign that investors are taking this ocean-based AI idea seriously. The round was led by Peter Thiel, the Palantir co-founder, and the company says the money will help complete a pilot manufacturing facility near Portland, Oregon. Panthalassa also plans to deploy its Ocean-3 pilot node series in the northern Pacific Ocean later in 2026.

Instead of building another giant AI data center on land, Panthalassa wants to place computing power out at sea. Ocean waves would generate electricity. Seawater would help with cooling. Onboard computing systems would process AI prompts and send the results back to land through low-Earth-orbit satellites.

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LOWERING YOUR ELECTRIC BILL COULD BE FLOATING IN THE OCEAN

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How AI data centers at sea could work

Panthalassa’s floating nodes are designed to capture wave motion and turn it into electricity. The company says it has spent a decade developing the technology behind its power generation, onboard computing and autonomous ocean operations. Its earlier Ocean-1, Ocean-2 and Wavehopper prototypes were tested in 2021 and 2024. Think of each node like a floating power station with AI hardware inside. Waves move the system. That motion helps drive a generator. The power then feeds the onboard chips.

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The company’s plan is to use those chips for AI inference. That is the part of AI where a model responds to your prompt after it has already been trained. In simple terms, it is what happens when you ask a chatbot a question and get an answer back. That makes the ocean plan a little easier to understand. Training massive AI models requires huge data movement and tight coordination. Answering prompts may be more realistic for a floating node, at least in some situations.

Why AI data centers are moving offshore

AI data centers need huge amounts of electricity. They also need space, cooling systems and local support from communities that may not want a massive facility nearby. Those problems have pushed companies to look for unusual answers. Ocean-based computing is one of them.

Panthalassa says its nodes would operate far from shore in wave-rich parts of the ocean. The goal is to use that wave energy directly onboard instead of sending the power back to land. “We’ve built a technology platform that operates in the planet’s most energy-dense wave regions, far from shore, and turns that resource into reliable clean power,” said Garth Sheldon-Coulson, Panthalassa’s co-founder and CEO.

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The ocean also offers cold surrounding water. That could help cool the chips onboard. Cooling is a major issue because data centers produce a lot of heat. Panthalassa is taking a different path from traditional land-based data centers. Instead of pulling more power from the grid, it wants floating nodes that generate their own electricity from waves.

A SUPERCOMPUTER CHIP GOING TO SPACE COULD CHANGE LIFE ON EARTH

The satellite problem for ocean AI data centers

The ocean may help with power and cooling, but it creates another problem: connection. Traditional data centers rely on high-capacity fiber-optic connections because they need to move huge amounts of data fast. A floating node far out at sea may depend on low-Earth-orbit satellite links. That can work for some AI responses, but it may be slower and more limited than fiber.

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The challenge grows when multiple nodes need to work together. AI systems often depend on fast communication between chips, servers and storage. If those parts are floating in the ocean and talking by satellite, coordination gets harder. That means AI data centers at sea may not replace land-based data centers anytime soon. They may be better suited for certain AI tasks where the model can live onboard, and the response does not require constant back-and-forth with other machines.

Repairing floating AI nodes could be difficult

There is another practical question: What happens when something breaks? A land-based data center can send in technicians. A floating AI node in rough seas may need a ship, special equipment and the right weather window. That adds cost and delay.

Panthalassa says it is developing autonomous systems meant for harsh ocean conditions. Its press release says Ocean-3 testing is meant to demonstrate AI inference and refine manufacturing before commercial deployments in 2027. Still, the ocean is brutal. Saltwater eats away at equipment. Storms can turn a routine repair into a major operation. Constant motion also puts stress on the hardware. For this plan to work, Panthalassa will have to show that each node can keep running for years in harsh ocean conditions without frequent human repairs.

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Ocean data centers have been tested before

Ocean data centers are not new. Microsoft experimented with underwater data center servers through Project Natick, including tests in 2015 and 2018. Those tests showed that sealed underwater servers could run reliably while using seawater for cooling, with Microsoft reporting a lower failure rate than comparable land-based systems. Microsoft later ended the project.

Chinese companies have also reportedly pushed ahead with underwater data center projects near Hainan and Shanghai. Keppel has explored floating data center designs in Singapore, where land constraints make the concept especially attractive. Panthalassa’s plan goes in a different direction. It combines wave power with onboard AI chips and satellite-based results. It also depends on floating nodes that would need to operate far from the kind of support a normal data center gets. That is why the idea is getting attention. It is also why skepticism is fair.

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What AI data centers at sea mean for you

For now, this will not change how your phone or computer works. You will not suddenly see a “powered by ocean waves” label on your favorite AI app. But the bigger picture affects everyone. AI needs an incredible amount of electricity. As more companies add AI tools to their products, they need more places to run those systems. That pressure can affect energy grids, water use, local battles over new data centers and even your utility bills over time.

Panthalassa argues its approach could reduce the need for new data centers and power plants on land. That could ease pressure on local communities and the grid, but the company still has to prove the system can work reliably at sea. If ocean-based AI moves beyond testing, it could also raise fresh questions about marine maintenance, environmental oversight and who controls computing infrastructure in international waters.

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Kurt’s key takeaways

Everyone is using AI on their phones and computers these days, but the heavy lifting often happens in huge data centers behind the scenes. That is why Panthalassa’s ocean plan is getting attention. The company wants to use waves for power and seawater for cooling. The hard part is proving that floating AI nodes can survive rough seas, limited satellite links and complicated maintenance. If Panthalassa can pull it off, ocean-based AI could become part of the tech we use every day. If it cannot, it may show just how difficult it is to keep feeding AI’s growing demand for power.

If this kind of ocean-powered AI takes off, would you worry about what these floating nodes could mean for our oceans? Let us know by writing to us at Cyberguy.com

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OpenAI announced yet another reorganization Friday, consolidating certain areas and making company president Greg Brockman the official lead of all things product.

In a memo viewed by The Verge, Brockman wrote that since OpenAI’s product strategy for this year is to go all-in on AI agents, the company is combining its products to “invest in a single agentic platform and to merge ChatGPT and Codex into one unified agentic experience for all.”

To do this, the company is making a suite of org chart changes, although it’s still operating under some of the same ones from last month. That’s when AGI boss Fidji Simo went on medical leave and OpenAI announced that Brockman would be in charge of product strategy and CSO Jason Kwon, CFO Sarah Friar, and CRO Denise Dresser would take control of business operations.

It’s all part of OpenAI’s recent strategic shift to focus on key revenue drivers like coding and enterprise and stop pouring resources into “side quests” ahead of its potential IPO later this year and amid investor pressure to turn a profit.

In Simo’s continued absence, Brockman’s role leading product strategy is now official, as well as the company’s “scaling” arm. Under Brockman will be four different pillars. The first is core product and platform, led by Thibault Sottiaux, who has been OpenAI’s engineering lead for Codex, and the second is critical enterprise industries, led by ChatGPT head Nick Turley. Third is the consumer pillar, such as health, commerce, and personal finance, which will be led by Ashley Alexander, who has been its healthcare products VP. The fourth pillar — core infrastructure, ads, data science, and growth — will be led by Vijaye Raji, who has been OpenAI’s CTO of applications.

Brockman wrote in the memo that OpenAI’s goal is now to “bring agents to ChatGPT scale, in order to give individuals and organizations significantly more value and utility from our products.”

You’re going about your day when your phone buzzes. A text hits your phone. It looks official. It sounds urgent. And suddenly, you are being told you owe money for a traffic violation. That is exactly what Todd from Texas experienced. He emailed us and said:

“I received this text message today. It was so baffling because I haven’t lived in California for nearly a decade. I didn’t click on anything or respond. How can I tell if this is for real or if this is a scam?”

If you’ve gotten a message like this, you are not alone. This type of scam is spreading fast, and it is designed to pressure you into acting before you think. Let’s break down what is really going on.

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FAKE AGENT PHONE SCAMS ARE SPREADING FAST ACROSS THE US

What the traffic ticket scam text looks like

At first, the message seems convincing. It claims to be a “final reminder” from the California DMV, and it warns of penalties like license suspension and added fees. It even includes a link that appears somewhat official. However, once you slow down and take a closer look, the red flags quickly start to pile up.

The biggest red flags in this message

Here are the key warning signs to watch for in messages like this.

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1) The phone number makes no sense

The message comes from a number with a +63 country code. That is the Philippines, not California. Government agencies in the U.S. do not send official legal notices from international numbers. That alone is a major warning sign.

2) No name, just “Dear Driver”

Legitimate notices from a DMV or court almost always include your full name or at least some identifying information. “Dear Driver” is vague on purpose. It allows scammers to send the same message to thousands of people.

3) The link isn’t a real DMV website

The message includes this link:

ca.mnvtl.life/dmv

That isn’t a government domain. Official DMV websites in California use “.ca.gov” or similar trusted domains. Scammers often create lookalike links to trick you into clicking.

4) Urgency and threats

The message pushes you to act quickly with a deadline. It lists consequences like license suspension and extra charges. Scammers rely on fear. When you feel rushed, you are more likely to click without thinking.

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5) Asking you to reply to proceed

The text says to reply with “Y” to get instructions. That is another trap. Responding confirms your number is active, which can lead to more scam messages.

6) Generic language and odd phrasing

Parts of the message feel slightly off. The tone is formal but not quite right. That subtle awkwardness is common in scam messages sent to large groups of people.

7) Overloaded threats designed to scare you

The message piles on consequences like license suspension, added fees, court action and even credit damage. In this case, it even mentions a license suspension and a $160 late payment charge. That combination is meant to overwhelm you and push you to act fast. Real agencies usually provide clear, specific notices, not a long list of escalating threats in a single text.

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What this means for you

Even if you have never driven in California, you could still receive this message. Scammers cast a wide net and hope someone takes the bait. If you click the link, you could be taken to a fake payment page. That page may ask for your credit card details, personal information or login credentials. In some cases, it can also install malware on your device or redirect you to credential-stealing pages. This isn’t about a ticket. It is about getting your data.  State DMVs typically do not send final legal notices or payment demands by text message.

Why these scams keep working

These messages work because they tap into something most people fear. Legal trouble, fines and losing driving privileges. They also look just real enough to pass a quick glance. That is all scammers need. As more services move online, these scams will continue to evolve.

Ways to stay safe from traffic ticket text scams

Start with a simple rule. Never trust a payment request that shows up out of nowhere. Here are practical steps you can take:

1) Do not click the link

If you are unsure, do not tap anything in the message. That includes links and reply options.

2) Use strong antivirus software

If you accidentally click a link, strong antivirus software can help detect malware and protect your data. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android & iOS devices at Cyberguy.com

3) Verify directly with the DMV

Go to your state’s official DMV website by typing it yourself into your browser. Do not use the link in the text.

4) Check the sender carefully

Look at the phone number. International numbers or random strings are a clear warning sign.

5) Ignore generic greetings

Real notices will usually include your name or case details. Vague language is a red flag.

6) Consider a data removal service

Scammers often get your number from data broker sites. Removing your personal info from those databases with a data removal service can reduce these messages. Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting Cyberguy.com

7) Block and report the number

On your phone, block the sender and report it as spam. This helps reduce future attempts.

8) Turn on spam filtering

Enable spam filtering on your phone or through your carrier to catch more of these messages before they reach you.

Kurt’s key takeaways

Todd did the right thing. He paused, questioned the message and did not click. That one decision likely saved him from handing over personal information. When it comes to messages like this, skepticism is your best defense. If something feels off, trust that instinct.

Should phone carriers and tech companies be doing more to block scams like this before you ever see them? Let us know by writing to us at Cyberguy.com

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Copyright 2026 CyberGuy.com. All rights reserved.