The Download: seafloor science and military chatbots


This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Inexpensive seafloor-hopping submersibles could stoke deep-sea science—and mining

Last week, two oblong neon submersibles started to descend nearly 6,000 meters into the Pacific Ocean. Throughout the rest of May, they will map the seafloor in search of critical mineral deposits. 

If all goes well, the vehicles, built by Orpheus Ocean, could help scientists probe the vastly understudied deep sea—and the resources it holds—at a fraction of the cost of existing systems.

But the same submersibles are also attracting deep-sea mining companies, raising concerns about environmental impacts. Find out why they’re drawing so much attention.

—Hannah Richter

The new war room: 10 Things That Matter in AI Right Now 

A new kind of system has entered the war room: conversational AI tools that commanders turn to not just for analysis, but for advice. 

One US defense official told MIT Technology Review that personnel might give these advice engines a list of potential targets to help decide which to strike first. China is commissioning similar tools too.

But as the systems gain traction, they’re also sparking concerns about AI-generated errors, a lack of transparency, and Big Tech gaining undue influence over what information gets seen. 

Here’s how these AI advice engines could impact the battlefield.

—James O’Donnell

The new war room is one of the 10 Things That Matter in AI Right Now, our list of the big ideas, trends, and advances in the field that are driving progress today—and will shape what’s possible tomorrow.

MIT Technology Review Narrated: is fake grass a bad idea? The AstroTurf wars are far from over. 

In 2001, Americans installed just over 7 million square meters of synthetic turf. By 2024, that number was 79 million square meters—enough to carpet all of Manhattan and then some. The increase worries folks who study microplastics and environmental pollution.  

While the plastic-making industry insists that synthetic fields are safe if properly installed, lots of researchers think that isn’t so. 

—Douglas Main 

This is our latest story to be turned into an MIT Technology Review Narrated podcast, which we publish each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Elon Musk pushed OpenAI to go commercial, its president has testified
Greg Brockman said Musk tried to turn it into a for-profit company years ago. (NYT $)
+ Musk allegedly wanted full control so he could raise $80 billion to colonize Mars. (Reuters $)
+ The Tesla CEO claims he intended for OpenAI to remain a non-profit. (BBC)
+ Here’s what happened in week one of Musk v. Altman. (MIT Technology Review)

2 Google and Meta are building AI agents to rival OpenClaw
Google’s Gemini agent will take actions on the users’ behalf. (Business Insider)
+ Meta’s will be powered by its Muse Spark AI model. (FT $)
+ Hustlers are cashing in on China’s OpenClaw AI craze. (MIT Technology Review)

3 Anthropic will spend $200 billion on Google’s cloud and chips
The investment will be spread across five years. (The Information $)
+ It’s part of a broader AI compute war. (Axios

4 DeepSeek is nearing a $45 billion valuation
A state-backed “Big Fund” will lead a new investment round in the company. (FT $)
+ Beijing is pushing to build alternatives to Nvidia and OpenAI. (Bloomberg $)
+ Here’s why DeepSeek’s new model matters. (MIT Technology Review)

5 Anthropic is launching AI agents for banks and financial firms
The 10 tools cover a broad mix of financial services tasks. (WSJ $)
+ They’re part of a push to win over Wall Street. (Bloomberg $)

6 Apple will pay $250 million to settle an AI lawsuit
It was accused of misleading iPhone buyers about Apple Intelligence. (BBC)
+ Some iPhone owners are eligible to receive up to $95. (NYT $)

7 Cheap laptops and phones may be disappearing because of AI demand
 Competition for memory chips is driving up gadget prices worldwide. (The Guardian)

8 Google DeepMind workers in the UK have voted to unionize
As a result of Google’s work with the Pentagon. (Wired $)

9 Pennsylvania is suing Character.AI over chatbots posing as doctors
Investigators say the bots claimed to hold medical licenses. (NPR)
+ How well do AI health tools work? (MIT Technology Review)

10 Scientists created a “living” plastic that destroys itself on command
It could help to eliminate microplastics. (Gizmodo)

Quote of the day

“I want AI to benefit humanity, not to facilitate a genocide.” 

—An anonymous Google DeepMind worker tells the Guardian that Google’s work with the Israel Defense Forces had motivated their vote to unionize.

One More Thing

a tiger shark seen underwater with a camera on its flank

COURTESY OF BENEATH THE WAVES


How tracking animal movement may save the planet

For decades, wildlife researchers have dreamed of building an “Internet of Animals”—a big-data system that monitors and analyzes animal behavior to help us understand the planet. Advances in sensors, AI, and satellite technology are now bringing that vision to reality.

Scientists want the system to track 100,000 sensor-tagged animals. They believe it could reveal how species respond to climate change and ecosystem loss—and even predict environmental disasters. Read the full story on how their idea could save our planet.

—Matthew Ponsford

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Master the art of fried chicken with this definitive chef’s guide.
+ Find out why some birds hop and others walk in this breakdown of avian lifestyles.
+ This vintage Hollywood map shows how California’s landscape stood in for everything from the Nile to the Alps.
+ Here’s a fascinating look at the “Flatbed” airplane that was surprisingly efficient on paper but never left the hangar.



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Recent Reviews


Vibe coding has taken the development world by storm—and it truly is a modern marvel to behold. The problem is, the vibe coding rush is going to leave a lot of apps broken in its wake once people move on to the next craze. At the end of the day, many of us are going to be left with apps that are broken with no fixes in sight.

A lot of vibe “coders” are really just prompt typers

And they’ve never touched a line of code

An AI robot using a computer with a prompt field on the screen. Credit: Lucas Gouveia / How-To Geek

Vibe coding made development available to the masses like never before. You can simply take an AI tool, type a prompt into a text box, and out pops an app. It probably needs some refinement, but, typically, version one is still functional whenever you’re vibe coding.

The problem comes from “developers” who have never written a line of code. They’re just using vibe coding because it’s cool or they think they can make a quick buck, but they really have no knowledge of development—or any desire to learn proper development.

Think of those types of vibe coders as people who realize they can use a calculator and online tools to solve math problems for them, so they try to build a rocket. They might be able to make something work in some way, but they’ll never reach the moon, even though they think they can.

Anyone can vibe code a prototype

But you really need to know what you’re doing to build for the long haul

For those who don’t know what they’re doing, vibe coding is a fantastic way to build a prototype. I’ve vibe coded several projects so far, and out of everything I’ve done, I’ve realized one thing—vibe coding is only as good as the person behind the keyboard. I have spent more time debugging the fruits of my vibe coding than I have actually vibe coding.

Each project that I’ve built with vibe coding could have easily been “viable” within an hour or two, sometimes even less time than that. But, to make something of actual quality, it has always taken many, many hours.

Vibe coding is definitely faster than traditional coding if you’re a one-man team, but it’s not something that is fast by any means if you’re after a quality product. The same goes for continued updates.

I’ve spent the better part of three months building a weather app for iPhone. It’s a simple app, but it also has quite a lot of complex things going on in the background.

It recently got released in the App Store—no small feat at all. But, I still get a few crash reports a week, and I’m constantly squashing bugs and working on new features for the app. This is because I’m planning on supporting the app for a long time, not just the weekend I released it, and that takes a lot more work.

Vibe coders often jump from app to app without thinking of longevity

The app was a weekend project, after all

A relaxed man lounging on an orange beanbag watches as a friendly yellow robot works on a laptop for him, while multiple red exclamation-mark warning icons float around them. Credit: Lucas Gouveia/How-To Geek | ViDI Studio/Shutterstock

I’ve seen it far too often, a vibe coder touting that they built this “complex app” in 48 hours, as if that is something to be celebrated. Sure, it’s cool that a working version of an app was up and running in two days, but how well does it work? How many bugs are still in it? Are there race conditions that cause a random crash?

My weather app has a weird race condition right now I’m tracking down. It crashes, on occasion, when opened from Spotlight on an iPhone. Not every time does that cause a crash, just sometimes.

If a vibe coder’s only goal is to build apps in short amounts of time so they can brag about how fast they built the app, they likely aren’t going to take the time to fix little things like that.

I don’t vibe code my apps that way, and I know many other vibe coders that aren’t that way—but we all started with actual coding, not typing a prompt.


Anyone can be a vibe coder, but not all vibe coders are developers

“And when everyone’s super… no one will be.” – Syndrome, The Incredibles. It might be from a kids’ movie, but it rings true in the era of vibe coding. When everyone thinks they can build an app in a weekend, everyone thinks they’re a developer.

By contrast, not every vibe coder is actually a developer, and that’s the problem. It’s hard to know if the app you’re using was built by someone who has plans to support the app long-term or not—and that’s why there’s going to be a lot of broken apps in the future.

I can see it now, the apps that people built in a weekend as a challenge will simply go without updates. While the app might work for the first few weeks or months just fine, an API update comes along and breaks the app’s compatibility. It’s at that point we’ll see who was vibe coding to build an app versus who was vibe coding just for online clout—and the sad part is, consumers will lose out more often than not with broken apps.



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