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First of all, I’m still processing the whole “Chinese spy balloon” saga, which, from start to finish, took over everyone’s brains for just about 72 hours and has been one of the weirdest recent events in US-China relations. There are still so many mysteries around it that I don’t want to jump to any conclusions, but I will link to some helpful analyses in the next section. For now, I just want to say: RIP The Balloon.

On a wholly different note, I’ve been preoccupied by the many Chinese individuals who remain in police custody after going into the streets in Beijing late last year to protest zero-covid policies. While action happened in many Chinese cities, it’s the Beijing police who have been consistently making new arrests, as recently as mid-January. According to a Twitter account that’s been following what’s happened with the protesters, over 20 people have been detained in Beijing since December 18, four of them formally charged with the crime of “picking quarrels.” As the Wall Street Journal has reported, many of those arrested have been young women.

For the younger generation in China, the movement last year was an introduction to participating in civil disobedience. But many of these young people lack the technical knowledge to protect themselves when organizing or participating in public events. As the Chinese government’s surveillance capability grows, activists are forced to become tech experts to avoid being monitored. It’s an evolving lesson that every new activist will have to learn.

To better understand what has happened over the past two months and what lies ahead, I reached out to Lü Pin, a feminist activist and scholar currently based in the US. As one of the most prominent voices in China’s current feminist movement, Lü is still involved in activist efforts inside China and the longtime cat-and-mouse game between protesters and police. Even though their work is peaceful and legal, she and her fellow activists often worry that their communications are being intercepted by the government. When we talked last week about the aftermath of the “White Paper Protests,” she explained how she thinks protesters were potentially identified through their communications, why many Chinese protesters continue to use Telegram, and the different methods China’s traditional police force and state security agents use to infiltrate group chats.

The following interview has been translated, lightly edited, and rearranged for clarity.

How did the Chinese police figure out the identity of protesters and arrest them over a month after it happened?

In the beginning, the police likely got access to a Telegram group. Later on, officers could have used facial recognition [to identify people in video footage]. Many people, when participating in the White Paper Protests, were filmed with their faces visible. It’s possible that the police are now working on identifying more faces in these videos.

Those who were arrested have no way of confirming this, but their friends [suspect that facial recognition was used] and spread the message.

And, as you said, it was reported that the police did have information on some protesters’ involvement in a Telegram group. What exactly happened there?

When [these protesters in Beijing] decided to use a Telegram group, they didn’t realize they needed to protect the information on the event. Their Telegram group became very public in the end. Some of them even screenshotted it and posted it on their WeChat timelines.

Even when they were on the streets in Liangma River [where the November 27 protest in Beijing took place], this group chat was still active. What could easily have happened was that when the police arrested them, they didn’t have time to delete the group chat from their phone. If that happened, nothing [about the group] would be secure anymore.

Could there be undercover police in the Telegram group?

It’s inevitable that there were government people in the Telegram group. When we were organizing the feminist movement inside China, there were always state security officials [in the group]. They would use fake identities to talk to organizers and say: I’m a student interested in feminism. I want to attend your event, join your WeChat group, and know when’s the next gathering. They joined countless WeChat groups to monitor the events. It’s not just limited to feminist activists. They are going to join every group chat about civil society groups, no matter if you are [advocating for] LGBTQ rights or environmental protection.

What do they want to achieve by infiltrating these group chats?

Different Chinese ministries have different jobs. The people collecting information

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By: Zeyi Yang
Title: How Telegram groups can be used by police to find protesters
Sourced From: www.technologyreview.com/2023/02/08/1067976/telegram-groups-police-china-protesters/
Published Date: Wed, 08 Feb 2023 11:00:00 +0000

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Finding value in generative AI for financial services

UBS report cover

With tools such as ChatGPT, DALLE-2, and CodeStarter, generative AI has captured the public imagination in 2023. Unlike past technologies that have come and gone—think metaverse—this latest one looks set to stay. OpenAI’s chatbot, ChatGPT, is perhaps the best-known generative AI tool. It reached 100 million monthly active users in just two months after launch, surpassing even TikTok and Instagram in adoption speed, becoming the fastest-growing consumer application in history.

UBS report cover 1

According to a McKinsey report, generative AI could add $2.6 trillion to $4.4 trillion annually in value to the global economy. The banking industry was highlighted as among sectors that could see the biggest impact (as a percentage of their revenues) from generative AI. The technology “could deliver value equal to an additional $200 billion to $340 billion annually if the use cases were fully implemented,” says the report.

For businesses from every sector, the current challenge is to separate the hype that accompanies any new technology from the real and lasting value it may bring. This is a pressing issue for firms in financial services. The industry’s already extensive—and growing—use of digital tools makes it particularly likely to be affected by technology advances. This MIT Technology Review Insights report examines the early impact of generative AI within the financial sector, where it is starting to be applied, and the barriers that need to be overcome in the long run for its successful deployment.

DOWNLOAD THE REPORT

The main findings of this report are as follows:

Corporate deployment of generative AI in financial services is still largely nascent. The most active use cases revolve around cutting costs by freeing employees from low-value, repetitive work. Companies have begun deploying generative AI tools to automate time-consuming, tedious jobs, which previously required humans to assess unstructured information.
UBS web ready 5
There is extensive experimentation on potentially more disruptive tools, but signs of commercial deployment remain rare. Academics and banks are examining how generative AI could help in impactful areas including asset selection, improved simulations, and better understanding of asset correlation and tail risk—the probability that the asset performs far below or far above its average past performance. So far, however, a range of practical and regulatory challenges are impeding their commercial use.Legacy technology and talent shortages may slow adoption of generative AI tools, but only temporarily. Many financial services companies, especially large banks and insurers, still have substantial, aging information technology and data structures, potentially unfit for the use of modern applications. In recent years, however, the problem has eased with widespread digitalization and may continue to do so. As is the case with any new technology, talent with expertise specifically in generative AI is in short supply across the economy. For now, financial services companies appear to be training staff rather than bidding to recruit from a sparse specialist pool. That said, the difficulty in finding AI talent is already starting to ebb, a process that would mirror those seen with the rise of cloud and other new technologies.
UBS web ready 2
More difficult to overcome may be weaknesses in the technology

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By: MIT Technology Review Insights
Title: Finding value in generative AI for financial services
Sourced From: www.technologyreview.com/2023/11/26/1083841/finding-value-in-generative-ai-for-financial-services/
Published Date: Mon, 27 Nov 2023 01:00:00 +0000

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The Download: unpacking OpenAI Q* hype, and X’s financial woes

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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.

Unpacking the hype around OpenAI’s rumored new Q* model

Ever since last week’s dramatic events at OpenAI, the rumor mill has been in overdrive about why the company’s board tried to oust CEO Sam Altman.

While we still don’t know all the details, there have been reports that researchers at OpenAI had made a “breakthrough” in AI that alarmed staff members. The claim is that they came up with a new way to make powerful AI systems and had created a new model, called Q* (pronounced Q star), that was able to perform grade-school level math.

Some at OpenAI reportedly believe this could be a breakthrough in the company’s quest to build artificial general intelligence, a much-hyped concept of an AI system that is smarter than humans.

So what’s actually going on? And why is grade-school math such a big deal? Our senior AI reporter Melissa Heikkilä called some experts to find out how big of a deal any such breakthrough would really be. Here’s what they had to say.

This story is from The Algorithm, our weekly newsletter giving you the inside track on all things AI. Sign up to receive it in your inbox every Monday.

The must-reads

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

1 X is hemorrhaging millions in advertising revenue 
Internal documents show the company is in an even worse position than previously thought. (NYT $)
 Misinformation ‘super-spreaders’ on X are reportedly eligible for payouts from its ad revenue sharing program. (The Verge)
It’s not just you: tech billionaires really are becoming more unbearable. (The Guardian)

2 The brakes seem to now be off on AI development 
📈
With Sam Altman’s return to OpenAI, the ‘accelerationists’ have come out on top. (WSJ $)
Inside the mind of OpenAI’s chief scientist, Ilya Sutskever. (MIT Technology Review)

3 How Norway got heat pumps into two-thirds of its households
Mostly by making it the cheaper choice for people. (The Guardian)
Everything you need to know about the wild world of heat pumps. (MIT Technology Review)

4 How your social media feeds shape how you see the Israel-Gaza war
Masses of content are being pumped out, rarely with any nuance or historical understanding. (BBC)
China tried to keep kids off social media. Now the elderly are hooked. (Wired $)

5 US regulators have surprisingly little scope to enforce Amazon’s safety rules
As demonstrated by the measly $7,000 fine issued by Indiana after a worker was killed by warehouse machinery. (WP $)

6 How Ukraine is using advanced technologies on the battlefield 
The Pentagon is using the conflict as a testbed for some of the 800-odd AI-based projects it has in progress. (AP $)
Why business is booming for military AI startups. (MIT Technology Review)

7 Shein is trying to overhaul its image, with limited success
Its products seem too cheap to be ethically sourced—and it doesn’t take kindly to people pointing that out. (The Verge)
 Why my bittersweet relationship with Shein had to end. (MIT Technology Review)

8 Every app can be a dating app now 
💑
As people turn their backs on the traditional apps, they’re finding love in places like Yelp, Duolingo and Strava. (WSJ $)
+ Job sharing apps are also becoming more popular. (BBC)

9 People can’t get enough of work livestreams on TikTok
It’s mostly about the weirdly hypnotic quality of watching people doing tasks like manicures or frying eggs. (The Atlantic $)

10 A handy guide to time travel in the movies
Whether you prioritize scientific accuracy or entertainment value, this chart has got you covered. (Ars Technica)

Quote of the day

“It’s in the AI industry’s interest to make people think that only the big players can do this—but it’s not true.”

—Ed Newton-Rex, who just resigned as VP of audio at Stability.AI, says the idea that generative AI models can only be built by scraping artists’ work is a myth in an interview with The Next Web. 

The big story

The YouTube baker fighting back against deadly “craft hacks”

rainbow glue coming out of a hotglue gun onto a toothbrush, surrounded by caution tape
STEPHANIE ARNETT/MITTR | ENVATO, GETTY

September 2022

Ann Reardon is probably the last person you’d

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By: Charlotte Jee
Title: The Download: unpacking OpenAI Q* hype, and X’s financial woes
Sourced From: www.technologyreview.com/2023/11/27/1083894/the-download-openai-q-hype-x-financial-woes/
Published Date: Mon, 27 Nov 2023 13:11:00 +0000

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The Download: OpenAI’s wild year, and tech’s cult of personality

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.

Inside OpenAI’s wild year

Few companies can say they’ve had more of a rollercoaster year than OpenAI. At the beginning of 2023, the world’s hottest AI startup was riding high on the success of its ChatGPT chatbot. Now, it’s dusting itself off from an attempted coup which saw Sam Altman ousted and reinstated as the company’s CEO within a few short days.

Our AI experts have been following OpenAI’s every move throughout the year, often with exclusive access to the people building the revolutionary products and systems. Check out just some of the highlights from the past year—and what we think is coming next.

+ ChatGPT is everywhere. Here’s where it came from. While ChatGPT may have looked like an overnight sensation, it was actually built on decades of research.

+ Back in April, our senior AI editor Will Douglas Heaven had exclusive conversations with four OpenAI insiders to learn more about how they built the viral chatbot.

+ One of the year’s hottest topics was how ChatGPT was already changing education—from cutting corners for science homework, to writing entire theses. But some teachers believe that generative AI could actually make learning better. (Bonus: check out high school senior Rohan Mehta’s robust defense of ChatGPT in the classroom)

+ OpenAI’s hunger for data is coming back to bite it. The company’s AI services may be breaking data protection laws, and there is no resolution in sight. Read the full story.

+ Ilya Sutskever, OpenAI’s chief scientist, was one of the key executives to turn against and try to overthrow CEO Sam Altman in the recent OpenAI revolt. When Will Douglas Heaven met him earlier this year, Sutskever told him about his new priority—figuring out how to stop an artificial superintelligence from going rogue. Read the full story.

+ What’s next for OpenAI. Read our timeline of how the recent drama unfolded, and what it means for the AI industry at large. Read the full story.

The must-reads

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

1 X and OpenAI are cults of personality
While both companies claim to be reshaping the world, they each really answer to one man. (WP $)
We shouldn’t miss the chance to hold OpenAI accountable. (FT $)
Wall Street still sees an opportunity to make money, though. (Motherboard)
AI is a real capitalist’s game these days. (NYT $)

2 Pro-China foreign influencers are Beijing’s latest propaganda tool
Vloggers based in the US are doing the Chinese government’s job for them. (FT $)
China’s young workers are embracing the digital nomad dream. (Reuters)

3 No, AI isn’t human
It’s important to keep reminding ourselves that no matter how convincingly its systems mimic us, they aren’t rational beings. (Vox)
We’re living in the age of uncensored AI. (The Atlantic $)
AI just beat a human test for creativity. What does that even mean? (MIT Technology Review)

4 Australia doesn’t exist
That’s according to Microsoft’s Bing search results, fueled by conspiracy theories. (The Guardian)

5 India’s powerful influencers could sway its elections 
Marketing firms are racing to hire the social media personalities with the biggest followings. (Wired $)

6 Keep an eye on these retail bots this Black Friday
Some are a lot more helpful than others. (WSJ $)

7 Crypto pig butchering schemes are a billion-dollar industry 
But we still know next to nothing about the criminals orchestrating them. (Reuters)
Crypto’s biggest beasts are falling, one by one. (NY Mag $)
The involuntary criminals behind pig-butchering scams. (MIT Technology Review)

8 Social media these days is seriously depressing
Negative news doesn’t just affect us—it changes society, too. (Wired $)
It’s not just you—Zoom meetings really are exhausting. (IEEE Spectrum)
How to log off. (MIT Technology Review)

9 Your messy bedroom’s days are numbered
This laundry-grasping robot is ready to pick up the slack—and stinky socks. (New Scientist $)

10 It’s time to read Napoleon’s sprawling Wikipedia page
Because Ridley Scott, his latest biographer, certainly won’t have. (Slate $)
The new biopic is a surprising lol-fest. (The Atlantic $)

Quote of the day

“When Sam didn’t have a home, Microsoft gave him one without hesitation — and when the whole company didn’t have a home, Microsoft gave them one.”

—Barry Briggs, a former Microsoft executive, tells the Financial Times how Satya Nadella’s savvy handling of the OpenAI drama is likely to further cement the relationship between the two companies.

The big story

California’s coming offshore wind boom faces big engineering hurdles

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By: Rhiannon Williams
Title: The Download: OpenAI’s wild year, and tech’s cult of personality
Sourced From: www.technologyreview.com/2023/11/24/1083869/the-download-openais-wild-year-and-techs-cult-of-personality/
Published Date: Fri, 24 Nov 2023 13:10:00 +0000

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