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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.

Propagandists are using AI too—and companies need to be open about it

—Josh A. Goldstein is a research fellow at Georgetown University’s Center for Security and Emerging Technology (CSET), where he works on the CyberAI Project. Renée DiResta is the research manager of the Stanford Internet Observatory and the author of Invisible Rulers: The People Who Turn Lies into Reality.

At the end of May, OpenAI marked a new “first” in its corporate history. It wasn’t an even more powerful language model or a new data partnership, but a report disclosing that bad actors had misused their products to run influence operations.

The company had caught five networks of covert propagandists—including players from Russia, China, Iran, and Israel—using their generative AI tools for deceptive tactics that ranged from creating large volumes of social media comments in multiple languages to turning news articles into Facebook posts.

The use of these tools, OpenAI noted, seemed intended to improve the quality and quantity of output. AI gives propagandists a productivity boost too.

As researchers who have studied online influence operations for years, we have seen influence operations continue to proliferate, on every social platform and focused on every region of the world. And if there’s one thing we’ve learned, it’s that transparency from Big Tech is paramount. Read the full story.

+ If you’re interested in how crooks are using AI, check out Melissa Heikkilä’s story on how generative tools are boosting the criminal underworld.

Digital twins are helping scientists run the world’s most complex experiments

In January 2022, NASA’s $10 billion James Webb Space Telescope was approaching the end of its one-million-mile trip from Earth. But reaching its orbital spot would be just one part of its treacherous journey. To ready itself for observations, the spacecraft had to unfold itself in a complicated choreography that, according to its engineers’ calculations, had 344 different ways to fail.

Over multiple days of choreography, the telescope fed data back to Earth in real time, and software near-simultaneously used that data to render a 3D video of how the process was going, as it was going. The 3D video represented a “digital twin” of the complex telescope: a computer-based model of the actual instrument, based on information that the instrument provided. 

The team watched tensely, during JWST’s early days, as the 344 potential problems failed to make their appearance. At last, JWST was in its final shape and looked as it should—in space and onscreen. The digital twin has been updating itself ever since.

As the technology becomes more common, researchers are increasingly finding these twins to be productive members of scientific society—helping humans run the world’s most complicated instruments, while also revealing more about the world itself and the universe beyond. Read the full story.

—Sarah Scoles

The must-reads

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

1 What to expect from Apple’s AI-focused WWDC event 
A deal with OpenAI is likely to be on the cards, amid an avalanche of AI features. (Bloomberg $)
Siri is due to get a buzzy LLM makeover. (The Verge)
What we need is AI features that are actually useful, not just showboating. (TechCrunch)

2 India’s internet space race is hotting up
The country’s telecoms giants want to beat Starlink at its own game. (FT $)

3 Silicon Valley’s medical tests industry is booming
They’re enabling patients to bypass doctors—for better and worse. (WP $)

4 AI tools are being trained on the faces of Brazilian children
Without their knowledge or consent. (Wired $)
We need to bring consent to AI. (MIT Technology Review)

5 Online scammers are ripping off small businesses too
It’s not just big designer names at risk of being impersonated any more. (WSJ $)

6 Perplexity is repackaging news articles with minimal attribution
A Forbes journalist has hit back at how the AI search engine repurposed the publication’s reporting. (Bloomberg $)
Here’s how AI summaries for search engines get things wrong. (MIT Technology Review)

7 AI image detectors are doing an okay job
But the results of generative AI are becoming ever subtler. (IEEE Spectrum)
This tool could protect your pictures from AI manipulation. (MIT Technology Review)

8 How viral videos shifted Californians’ perspective on crime
The galvanizing effect of these clips appears to fuel public appetite for harsher penalties. (The Atlantic $)
AI was supposed to make police bodycams better. What happened? (MIT Technology Review)

9

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By: Rhiannon Williams
Title: The Download: AI propaganda, and digital twins
Sourced From: www.technologyreview.com/2024/06/10/1093457/the-download-ai-propaganda-and-digital-twins/
Published Date: Mon, 10 Jun 2024 12:10:00 +0000

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The return of pneumatic tubes

2CTK80D scaled

Pneumatic tubes were touted as something that would revolutionize the world. In science fiction, they were envisioned as a fundamental part of the future—even in dystopias like George Orwell’s 1984, where the main character, Winston Smith, sits in a room peppered with pneumatic tubes that spit out orders for him to alter previously published news stories and historical records to fit the ruling party’s changing narrative.

Doctor holding pneumatic tube carrier while standing in pharmacy
Abandoned by most industries at midcentury, pneumatic tube systems have become ubiquitous in hospitals.ALAMY

In real life, the tubes were expected to transform several industries in the late 19th century through the mid-20th. “The possibilities of compressed air are not fully realized in this country,” declared an 1890 article in the New York Tribune. “The pneumatic tube system of communication is, of course, in use in many of the downtown stores, in newspaper offices […] but there exists a great deal of ignorance about the use of compressed air, even among engineering experts.”

Pneumatic tube technology involves moving a cylindrical carrier or capsule through a series of tubes with the aid of a blower that pushes or pulls it into motion. For a while, the United States took up the systems with gusto. Retail stores and banks were especially interested in their potential to move money more efficiently: “Besides this saving of time to the customer the store is relieved of all the annoying bustle and confusion of boys running for cash on the various retail floors,” one 1882 article in the Boston Globe reported. The benefit to the owner, of course, was reduced labor costs, with tube manufacturers claiming that stores would see a return on their investment within a year.

“The motto of the company is to substitute machines for men and for children as carriers, in every possible way,” a 1914 Boston Globe article said about Lamson Service, one of the largest proprietors of tubes at the time, adding, “[President] Emeritus Charles W. Eliot of Harvard says: ‘No man should be employed at a task which a machine can perform,’ and the Lamson Company supplements that statement by this: ‘Because it doesn’t pay.’”

By 1912, Lamson had over 60,000 customers globally in sectors including retail, banks, insurance offices, courtrooms, libraries, hotels, and industrial plants. The postal service in cities such as Boston, Philadelphia, Chicago, and New York also used tubes to deliver the mail, with at least 45 miles of Lamson tubing in place by 1912.

On the transportation front, New York City’s first attempt at a subway system, in 1870, also ran on a pneumatic system, and the idea of using tubes to move people continues to beguile innovators to this day. (See Elon Musk’s largely abandoned Hyperloop concept of the 2010s.)

But by the mid to late 20th century, use of the technology had largely fallen by the wayside. It had become cheaper to transport mail by truck than by tube, and as transactions moved to credit cards, there was less demand to make change for cash payments. Electrical rail won out over compressed air, paper records and files disappeared in the wake of digitization, and tubes at bank drive-throughs started being replaced by ATMs, while only a fraction of pharmacies used them for their own such services. Pneumatic tube technology became virtually obsolete.

Except in hospitals.

“A pneumatic tube system today for a new hospital that’s being built is ubiquitous. It’s like putting a washing machine or a central AC system in a new home. It just makes too much sense to not do it,” says Cory Kwarta, CEO of Swisslog Healthcare, a corporation that—under its TransLogic company—has provided pneumatic tube systems in health-care facilities for over 50 years. And while the sophistication of these systems has changed over time, the fundamental technology of using pneumatic force to move a capsule from one destination to another has remained the same.

By the turn of the 20th century,

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By: Vanessa Armstrong
Title: The return of pneumatic tubes
Sourced From: www.technologyreview.com/2024/06/19/1093446/pneumatic-tubes-hospitals/
Published Date: Wed, 19 Jun 2024 09:00:00 +0000

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The Download: video-generating AI, and Meta’s voice cloning watermarks

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

I tested out a buzzy new text-to-video AI model from China

You may not be familiar with Kuaishou, but this Chinese company just hit a major milestone: It’s released the first ever text-to-video generative AI model that’s freely available for the public to test.

The short-video platform, which has over 600 million active users, announced the new tool, called Kling, on June 6. Like OpenAI’s Sora model, Kling is able to generate videos up to two minutes long from prompts.

But unlike Sora, which still remains inaccessible to the public four months after OpenAI debuted it, Kling has already started letting people try the model themselves. Zeyi Yang, our China reporter, has been putting it through its paces. Here’s what he made of it.

This story is from China Report, our weekly newsletter covering tech in China. Sign up to receive it in your inbox every Tuesday.

Meta has created a way to watermark AI-generated speech

The news: Meta has created a system that can embed hidden signals, known as watermarks, in AI-generated audio clips, which could help in detecting AI-generated content online.

Why it matters: The tool, called AudioSeal, is the first that can pinpoint which bits of audio in, for example, a full hour-long podcast might have been generated by AI. It could help to tackle the growing problem of misinformation and scams using voice cloning tools. Read the full story.

—Melissa Heikkilä

The return of pneumatic tubes

Pneumatic tubes were once touted as something that would revolutionize the world. In science fiction, they were envisioned as a fundamental part of the future—even in dystopias like George Orwell’s 1984, where they help to deliver orders for the main character, Winston Smith, in his job rewriting history to fit the ruling party’s changing narrative. 

In real life, the tubes were expected to transform several industries in the late 19th century through the mid-20th. The technology involves moving a cylindrical carrier or capsule through a series of tubes with the aid of a blower that pushes or pulls it into motion, and for a while, the United States took up the systems with gusto.

But by the mid to late 20th century, use of the technology had largely fallen by the wayside, and pneumatic tube technology became virtually obsolete. Except in hospitals. Read the full story.

—Vanessa Armstrong

This story is from the forthcoming print issue of MIT Technology Review, which explores the theme of Play. It’s set to go live on Wednesday June 26, so if you don’t already, subscribe now to get a copy when it lands.

The must-reads

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

1 Nvidia has become the world’s most valuable company 
Leapfrogging Microsoft and Apple thanks to the AI boom. (BBC)
Nvidia’s meteoric rise echoes the dot com boom. (WSJ $)
CEO Jensen Huang is now one of the richest people in the world. (Forbes)
The firm is worth more than China’s entire agricultural industry. (NY Mag $)
What’s next in chips. (MIT Technology Review)

2 TikTok is introducing AI avatars for ads
Which seems like a slippery slope. (404 Media)
India’s farmers are getting their news from AI news anchors. (Bloomberg $)
Deepfakes of Chinese influencers are livestreaming 24/7. (MIT Technology Review)

3 Boeing’s Starliner spacecraft will stay in space for a little longer
Officials need to troubleshoot some issues before it can head back to Earth. (WP $)

4STEM students are refusing to work at Amazon and Google
Until the companies end their involvement with Project Nimbus. (Wired $)

5 Google isn’t what it used to be
But is Reddit really a viable alternative? (WSJ $)
Why Google’s AI Overviews gets things wrong. (MIT Technology Review)

6 A security bug allows anyone to impersonate Microsoft corporate email accounts
It’s making it harder to spot phishing attacks. (TechCrunch)

7 How deep sea exploration has changed since the Titan disaster
Robots are taking humans’ place to plumb the depths. (NYT $)
Meet the divers trying to figure out how deep humans can go. (MIT Technology Review)

8 How the free streaming service Tubi took over the US
Its secret weapon? Old movies.(The Guardian)

9 A new AI video tool instantly started ripping off Disney
Raising some serious questions about what the model had been trained on. (The Verge)
What’s next for generative video. (MIT Technology Review)

10 Apple appears to have paused work on the next Vision Pro
Things aren’t looking too bright for the high-end headset. (The Information $)
These minuscule pixels are poised to take augmented reality by

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By: Rhiannon Williams
Title: The Download: video-generating AI, and Meta’s voice cloning watermarks
Sourced From: www.technologyreview.com/2024/06/19/1094041/the-download-video-generating-ai-and-metas-voice-cloning-watermarks/
Published Date: Wed, 19 Jun 2024 12:10:00 +0000

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Scaling green hydrogen technology for the future

Thyssenkrupp Nucera green

Unlike conventional energy sources, green hydrogen offers a way to store and transfer energy without emitting harmful pollutants, positioning it as essential to a sustainable and net-zero future. By converting electrical power from renewable sources into green hydrogen, these low-carbon-intensity energy storage systems can release clean, efficient power on demand through combustion engines or fuel cells. When produced emission-free, hydrogen can decarbonize some of the most challenging industrial sectors, such as steel and cement production, industrial processes, and maritime transport.

Thyssenkrupp Nucera green hydrogen 1200px 1

“Green hydrogen is the key driver to advance decarbonization,” says Dr. Christoph Noeres, head of green hydrogen at global electrolysis specialist thyssenkrupp nucera. This promising low-carbon-intensity technology has the potential to transform entire industries by providing a clean, renewable fuel source, moving us toward a greener world aligned with industry climate goals.

ccelerating production of green hydrogen

Hydrogen is the most abundant element in the universe, and its availability is key to its appeal as a clean energy source. However, hydrogen does not occur naturally in its pure form; it is always bound to other elements in compounds like water (H2O). Pure hydrogen is extracted and isolated from water through an energy-intensive process called conventional electrolysis.

Hydrogen is typically produced today via steam-methane reforming, in which high-temperature steam is used to produce hydrogen from natural gas. Emissions produced by this process have implications for hydrogen’s overall carbon footprint: worldwide hydrogen production is currently responsible for as many CO2 emissions as the United Kingdom and Indonesia combined.

A solution lies in green hydrogen—hydrogen produced using electrolysis powered by renewable sources. This unlocks the benefits of hydrogen without the dirty fuels. Unfortunately, very little hydrogen is currently powered by renewables: less than 1% came from non-fossil fuel sources in 2022.

A massive scale-up is underway. According to McKinsey, an estimated 130 to 345 gigawatts (GW) of electrolyzer capacity will be necessary to meet the green hydrogen demand by 2030, with 246 GW of this capacity already announced. This stands in stark contrast to the current installed base of just 1.1 GW. Notably, to ensure that green hydrogen constitutes at least 14% of total energy consumption by 2050, a target that the International Renewable Energy Agency (IRENA) estimates is required to meet climate goals, 5,500 GW of cumulative installed electrolyzer capacity will be required.

However, scaling up green hydrogen production to these levels requires overcoming cost and infrastructure constraints. Becoming cost-competitive means improving and standardizing the technology, harnessing the scale efficiencies of larger projects, and encouraging government action to create market incentives. Moreover, the expansion of renewable energy in regions with significant solar, hydro, or wind energy potential is another crucial factor in lowering renewable power prices and, consequently, the costs of green hydrogen.

Electrolysis innovation

While electrolysis technologies have existed for decades, scaling them up to meet the demand for clean energy will be essential. Alkaline Water Electrolysis (AWE), the most dominant and developed electrolysis method, is poised for this transition. It has been utilized for decades, demonstrating efficiency and reliability in the chemical industry. Moreover, it is more cost effective than other electrolysis technologies and is well suited to be run directly with fluctuating renewable power input. Especially for large-scale applications, AWE demonstrates significant advantages in terms of investment and operating costs. “Transferring small-scale manufacturing and optimizing it towards mass manufacturing will need a high level of investment across the industry,” says Noeres.

Industries that already practice electrolysis, as well as those that already use hydrogen, such as fertilizer production, are well poised for conversion to green hydrogen. For example, thyssenkrupp nucera benefits from a decades-long heritage using electrolyzer technology in the

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By: MIT Technology Review Insights
Title: Scaling green hydrogen technology for the future
Sourced From: www.technologyreview.com/2024/06/18/1092956/scaling-green-hydrogen-technology-for-the-future/
Published Date: Tue, 18 Jun 2024 14:00:00 +0000

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