Tech

Download: China’s Social Credit Law and Robot Dog Navigation

This is today’s edition of Download, Our weekday newsletter provides daily coverage of what’s happening in the tech world.

Here’s why China’s new social credit law matters

It’s easier to talk about what China’s social credit system is not than it is. Since 2014, when China announced plans to build it, it’s been one of the most misunderstood things about China in Western discourse. Now, with new documents released in mid-November, there is an opportunity to correct the record.

Most people outside of China assumed it would work as a Black Mirror-esque system powered by technologies to automatically score every Chinese citizen based on what they did right and wrong. Instead, it is a combination of efforts to regulate the financial credit industry, enable government agencies to share data with each other, and promote state-recognized ethical values—though But that sounds vague.

While the system itself will take a long time to materialize, by publishing the draft law last week, China is now closer than ever to defining what it will look like. —and how it will affect the lives of millions of citizens. Read full story.

—Zeyi Yang

Watch this robotic dog scramble over difficult terrain just by using its camera

News: When Ananye Agarwal walked her dog up and down the steps of a local park near Carnegie Mellon University, other dogs blocked their way. That’s because Agarwal’s dog is a robot – and a special robot. Unlike other robots that tend to rely heavily on internal maps to navigate, his robot uses a built-in camera and uses computer vision and reinforcement learning to walk on difficult terrain.

Why is it important: While other attempts to use camera signals to guide a robot’s movements have been limited to flat terrain, Agarwal and his fellow researchers managed to get their robot to go up a bridge. ladders, climb rocks and jump over gaps. They are hoping their work will make it easier for robots to be deployed in the real world and greatly improve their mobility in the process. Read full story.

—Melissa Heikkila

Trust large language models at your own peril

When Meta launched Galactica, an open source major language model, the company was hoping for a big PR win. Instead, all it received was criticism on Twitter and a cynical blog post from one of its most vocal critics, which ended with its shameful decision to take down. public demo of the model after only three days.

Galactica aims to help scientists by summarizing academic papers and solving math problems, among other tasks. But outsiders were quick to urge the model to offer “scientific research” on the benefits of homophobia, anti-Semitism, suicide, glass-eating, being white or being a man — no not only proves its failed launch is premature but also shows how AI is not enough. researchers’ efforts to make large language models more secure. Read full story.

This story is from The Algorithm, our weekly newsletter that gives you insights into all things AI-related. Register to get it in your inbox every Monday.

Must read

I’ve scoured the Internet to find you today’s most interesting/important/scary/fascinating stories about technology.

1 Verified anti-vax Twitter account is spreading health misinformation
And perfectly demonstrate the problem of charging for verification in the process. (Guard)
+ Maybe Twitter isn’t as helpful to your career as you think. (Bloomberg $)
+ A deepfake of the founder of FTX has gone viral on Twitter. (motherboard)
+ Some of Twitter’s freelance users refuse to leave. (Atlantic $)
+ Apparently, Twitter’s layoff bloodbath is over. (precipice)
+ The potential demise of Twitter could wipe out major records in recent human history. (Technology Review MIT)

2 NASA’s Orion spacecraft has completed its flight over the moon
Paving the way for man to return to the moon. (Vox)

3 Amazon warehouse tracking algorithms trained by humans
Low-paid workers in India and Costa Rica are watching mind-numbing thousands of hours of footage. (precipice)
+ The AI ​​data labeling industry is deeply mining. (Technology Review MIT)

4 How to understand climate change
Accepting the harsh truth is the first step to avoiding the most grim ending on the planet. (New Yorkers $)
+ The world’s richest countries have agreed to pay for global warming. (Atlantic $)
+ These three charts show who is most responsible for climate change. (Technology Review MIT)

5 Apple uncovers dodgy transactions of a cybersecurity startup
It compiled a document illustrating the extent of Corellium’s relationships, including with the notorious NSO Group. (Wired $)
+ The hacking industry faces the end of an era. (Technology Review MIT)

6 The Crypto Industry Is Still Struggling
Shares on its largest exchange have fallen to an all-time low. (Bloomberg $)
+ UK wants to crack down on gambling trading apps (FT $)

7 The criminal justice system is failing people with mental illness
Imitating an online troll got an autistic man sentenced to five and a half years in prison. (economist $)

8 Your Workplace Might Be Planning Your Brain Scan
All aimed at helping you become a more effective employee. (IEEE Phổ Spectrum)

9 Facebook doesn’t care if your account is hacked or not
A series of new solutions to rescue accounts do not seem to have much effect. (WP $)
+ Parent company Meta is being sued in the UK over data collection. (Bloomberg $)
+ Independent artists are building the metaverse their way. (motherboard)

Why is it a bad idea to train image-generating AI on generated images?
The ‘polluted’ images will only confuse them. (new scientist $)
+ Facial recognition software used by the US government is said to be inactive. (motherboard)
+ The dark secret behind the cute AI-generated animal images. (Technology Review MIT)

Quote of the day

“Looks like they used to care more.”

—Ken Higgins, an Amazon Prime member, is losing faith in the company after a series of unpleasant delivery experiences, he told The Wall Street Journal.

big story

What if you could diagnose it with a tampon?

February 2019

On an unassuming side street in Oakland, California, Ridhi Tariyal and Stephen Gire are trying to change the way women monitor their health.

Their plan is to use blood from used tampons as a diagnostic tool. In that menstrual blood, they hope to find the early signs of endometriosis and eventually a host of other disorders. The simplicity and ease of this approach, if it works, would be a huge improvement over current standards of care. Read full story.

—Dayna Evans

We can still have good things

A place for comfort, fun and entertainment in these strange times. (Any ideas?Drop me a lineortweet them with me.)

+ Happy Thanksgiving—in your nightmares!
+ Why? Keith HaringHis legacy is clearer than ever, 32 years after his death.
+ Not even the lavish world of dinosaur skeletons immune to scandal.
+ pumpkin is a Thanksgiving staple—but not always.
+ If I lived in a frozen wasteland, I’m pretty sure I would be The world’s most grumpy cat also.




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