The Download: OpenAI unveils GPT-Red and heat pumps rise in the US


The must-reads

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

1 Elon Musk discreetly bought a $1 billion gas turbine firm to power Grok
He acquired fossil fuel company APR Energy in May. (Electrek)
+ The most likely application will be powering AI data centers. (Engadget)
+ The deal was revealed through an FTC filing. (Gizmodo)
+ What will power AI’s growth? (MIT Technology Review)
 
2 A hack shows the Suno AI music generator scraped YouTube, Deezer
It scraped decades’ worth of music to train its models. (404 Media)
+ The hacked is a unique look into the black boxes powering GenAI. (CNET)
+ AI is coming for music, too. (MIT Technology Review)
 
3 Thinking Machines has launched an open-weight AI model
Inkling offers a US alternative to China’s open-source models. (Reuters $)
+ It’s the first AI model built by Thinking Machines. (WSJ $)
+ The startup was founded by former OpenAI CTO Mira Murati. (Axios)
 
4 Europe is narrowing its ambitions for tech independence
Manufacturing and research show promise, but funding is a problem. (NYT $)
+ Earnings are strong, but an AI gap persists. (Reuters $)
+ India is also scrambling for AI independence. (MIT Technology Review)
 
5 Earth is absorbing energy at a rate that’s alarming climate scientists
The planet is taking in more heat than models predicted. (Economist $)
+ The legal case for climate justice is growing. (MIT Technology Review)
 
6 The AI backlash has tech executives fearing for their lives
Violent threats against AI firms are spilling into the real world. (WSJ $)
+ An anti-AI movement is growing globally. (MIT Technology Review)
 
7 A Moroccan intelligence insider exposed widespread Pegasus use
Including to target journalists, activists, and foreign politicians. (Guardian)

8 AI is powering citizen-led disaster relief from afar for Venezuela
It’s helping to locate missing people and coordinate relief. (Rest of World)
 
9 Thermodynamic computers could turn noise into useful calculations
They may offer a cooler, more efficient way to process information. (Quanta)

10 An engineer has explained every ’90s computer in Jurassic Park
Fans have debated the technology in the film for decades. (Ars Technica)

Quote of the day

“We hit pause because the communities powering AI should share in its success. Maybe that’s a novel concept in Washington.” 

—New York Gov. Kathy Hochul responds on X to President Donald Trump’s criticism of her state’s new data center moratorium.

One More Thing


Will we ever trust robots?

Robotics firm Prosper is developing a humanoid called Alfie to perform tasks in homes, hospitals, and hotels. The company’s founder, Shariq Hashme, has identified trustworthiness as the top design priority—and first hurdle to clear before humanoids can live up to their hype.

Hashme believes one essential tactic to get people to put their trust in Alfie is to build a detailed character from the ground up—something humanlike but not too human. But the robot’s reliance on remote human operators raises broader questions about privacy, labour, and whether society will truly accept humanoids in our private spaces.



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Recent Reviews


YouTube has an AI slop problem, and its crackdown is catching legitimate creators in the crossfire. Faceless channels, where no human host ever appears on screen, have existed for years and are not inherently AI-generated.

Many are run by solo creators who simply prefer to stay anonymous. The problem is that AI tools made it easy to flood the platform with low-effort faceless content at scale, and YouTube’s algorithm is now penalizing the format as a whole.

How bad is the AI slop problem on YouTube?

A Kapwing study found that roughly 21% of the first 500 videos recommended to a new YouTube account were classified as AI slop, while 33% fell into a broader brainrot category. The problem extends to children, too, as more than 40% of YouTube Shorts recommended to kids in a 15-minute session contained low-quality AI content.

YouTube’s response has been to tweak its algorithm to favor videos with real human faces on camera, which is hitting faceless creators even when their content is entirely human-made.

How is YouTube tackling its AI slop problem?

YouTube is now testing a new pop-up on mobile that asks viewers to rate whether a video feels like AI slop, on a scale from “not at all” to “extremely.” The idea sounds reasonable, but crowdsourcing AI detection has real problems. People are bad at spotting AI content, and they are getting worse at it as AI capabilities continue to improve.

There are also legitimate concerns that YouTube could use this viewer feedback as training data for its own AI models, potentially making future AI-generated content even harder to spot.

🚨 Did you just see what YouTube did?

YouTube isn’t banning AI slop.. They’re making you label it so they can train their next model to not look like slop.

Read that again…

You flag the bad AI content. YouTube collects it. Google feeds it into Veo 4… Then next year their… https://t.co/8UC2J3mjjv pic.twitter.com/mIrTChqC1b

— Tuki (@TukiFromKL) March 17, 2026

Meanwhile, faceless creators are scrambling to adapt. According to The Hollywood Reporter, some are hiring cheap on-camera hosts through platforms like Fiverr and Upwork. Others are doubling down on niche educational content, which has held up better than broad content farms.

The AI text-to-video space is still valued at enormous sums, with Higgsfield AI alone sitting at $1 billion, but on YouTube, the math for faceless creators is getting harder to work out every month.



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