The Southeast Asian island city-state takes a more progressive approach toward crypto compared to China's heavy-handed stance. And Chinese crypto players' intentions to relocate to Singapore meshes with the city-state's ambition to cement itself as a global decentralized finance hub. The Singaporean government is also actively recruiting Chinese crypto players.
In late August, the Singapore nonprofit Business China — of which Singapore's former prime minister is a founding patron — hosted a closed-door conference aimed at improving the city-state's digital economy. Chinese crypto heavyweights, including Binance founder Zhao Chengpeng, imToken founder He Bin, and Bitmain and Matrixport founder Wu Jihan were among the attendees, per screenshots of the conference agenda that Protocol reviewed.
Notably, Ethereum's co-founder Vitalik Buterin spoke at the event, as did a few senior Singaporean government officials. Yan, one of the conference attendees, told Protocol that crypto entrepreneurs and investors in attendance rubbed elbows with dignitaries and their families while discussing the opportunities for Singapore's blockchain industry.
But all Singaporean state-owned enterprises and investors came to hear us speak, and former government officials wined and dined with us … It's a very Chinese way of business-dealing. You just get it right away. Beyond the implicit hospitality, Yan recalled some senior officials and business VIPs explicitly asking the attending Chinese crypto entrepreneurs: "Are you ready to fly the coop?
The Southeast Asian city-state of fewer than 6 million inhabitants punches far above its weight; it is the fourth-largest financial center in the world. And its business environment, which emphasizes networks of favor-exchanging and mutually beneficial relationships developed outside formal settings, is similar enough to China's to allow its entrepreneurs to fit in seamlessly.
Hong Kong, another Asian financial hub, could have been an alternative destination for Chinese decentralized finance businesses. But the special administrative region of China has fallen out of favor with Chinese-speaking investors, Yan said, as civil unrest and the lack of confidence in the government runs deeper. Publicly, the Singaporean government has been sending welcoming signals to crypto players big and small in China — not to mention globally.
Singapore's friendlier stance on crypto has attracted major Chinese crypto exchanges. Prominent Chinese exchanges including Binance and Okcoin were among the applicants, according to Cailianshe, a Chinese online securities publication. The Chinese crypto exodus actually started before Beijing handed down the final blow to the country's crypto industry in late September. That's because China crypto entrepreneurs and investors had seen the crackdown coming months ahead. There is already a vibrant Chinese crypto community there, so it will be easy for those who move from China to Singapore to adapt quickly," Lily Z.
King, COO of a Singapore-based crypto custody and asset management platform, wrote in a recent commentary for Forkast. Yan, the Chinese crypto entrepreneur, told Protocol he set up an office in Singapore after the Business China conference at the encouragement of Singaporean dignitaries.
He subsequently hired dozens of workers there. Just as the power of the PC fueled the early leaps of the tech revolution and the accessibility of the web built on that, the smartphone and 5G networking technology will reshape our world with blazingly fast connected devices. Leading that charge is 5G, the high-speed next generation of mobile wireless connectivity that will connect virtually everyone and everything, including machines, objects and devices.
We wanted to get a sense of how 5G will advance the mobile ecosystem, open the door to new industries and dramatically improve the user experience. So we spoke with Alex Katouzian, senior vice president and general manager of the Mobile, Compute and Infrastructure business unit at Qualcomm Technologies, which is one of the leaders in 5G and produces the Snapdragon chips that are at the heart of so many mobile devices such as smartphones, laptops, VR headsets, AR glasses, smartwatches, cars and more that will enable the cloud-fueled digital future.
Think about the massive amounts of data going through all of our smart devices today. And not just between the devices but also up to the cloud and across the networks — all that bandwidth is increasingly brought to us through 5G. Now consider all of the functionality and opportunity that come with those smart devices, including quicker communication, better photos, better videos and speech-to-text, speech-to-speech translation.
This powerful combination of new capability and speed leads to massive innovation. And much of that now begins with smartphones, which are increasingly connected by 5G. The phone will be the centerpiece but over time more and more smart devices will be connected and operate seamlessly with each other over 5G.
We're no longer simply talking about a smart device, but a smart platform that is part of a broader ecosystem. So you'll be automatically connected to essential services no matter where you are or what you're using.
This will happen in a heterogeneous computing environment that shares visual and audio capabilities. Your phone will connect with your car, your TV, a Bluetooth-enabled watch that's connected to your headset, which in turn interface with screens in your home.
The devices are contextually aware of each other. They'll interact. Think of all the intelligence that comes with this added functionality. Better photos and videos, a virtual personal assistant that helps with speech-to-text and speech-to-speech translation. It all adds up to a combination of innovations unlike anything we've seen. And it's coming in the next three to five years. AI capabilities are spread across many different devices to impact many facets of our life and how we interact with each other.
The cloud, too, will be an essential part of this equation as the information gets transferred back and forth. So imagine you have all sorts of intelligence that is being applied across many kinds of devices to interact with the least amount of latency due to 5G. A great user experience is at the center of it all. We'll see a lot of early use on multiplayer gaming on smart devices. Those environments are graphics-heavy, with people communicating rapidly in an active social environment.
Latency issues and bandwidth issues are so key to making it a real-time and fun experience. Another application will be social media involving real-time video recording and sharing between your friends and family. Recording, streaming and downloading all require this kind of functionality. These capabilities will touch many different aspects of our world. As autonomous driving starts to become more prevalent, you will have multiple networks that pass information to the cars so that they are safer and we have fewer accidents.
On the factory floor, in an industrial environment working with 5G, every machine will now know exactly what to do with the right timing. Our Snapdragon platforms will continue to pack leading computing and connectivity technologies to deliver premium experiences across devices segments. We are investing more into the Snapdragon brand and recently created a new fan community called Snapdragon Insiders to bring the latest Snapdragon product news to tech enthusiasts globally.
Tune in to our annual Snapdragon Tech Summit on Nov. If yes, this note is for you. The document's guidelines instructed employees to opt for terms like "fairness" and "inclusivity" when describing their work, while acknowledging that "fairness" is a "context-specific term with no singular definition. Issie Lapowsky issielapowsky is Protocol's chief correspondent, covering the intersection of technology, politics, and national affairs.
She also oversees Protocol's fellowship program. Previously, she was a senior writer at Wired, where she covered the election and the Facebook beat in its aftermath. Prior to that, Issie worked as a staff writer for Inc.
She has also worked as an on-air contributor for CBS News and taught a graduate-level course at New York University's Center for Publishing on how tech giants have affected publishing. At least, don't use the word "bias" or the word "discrimination," or any of those pesky terms that have a funny way of landing companies in court. That's according to an internal document circulated inside Facebook last fall called, "How to talk about fairness.
Do you use terms like algorithmic bias , discrimination , and disparate impact without fully understanding their meaning? If yes, this note is for you," it reads. The note, published in full below, is part of disclosures made to the SEC and provided to Congress in redacted form by whistleblower Frances Haugen's legal counsel. In a statement to Protocol, a spokesperson for Meta, Facebook's new name, said, "In an effort to streamline how our teams approach and discuss topics related to fairness, which is an important component of how we build our products and services, we commonly share resources and guidance, like this note from our Responsible AI team last year, across the company.
The note was posted around the time a reporter for MIT Tech Review was working on an extensive reporting project about the Responsible AI team, with Facebook's cooperation. It was also a little more than a year after Facebook settled a lawsuit with civil rights groups over how its platform enabled advertisers to discriminate in housing, job and financial services ads. The Department of Housing and Urban Development also filed a similar suit against Facebook just as the first suit was being settled.
Facebook has since faced ongoing accusations of bias and discrimination on the platform, particularly with regard to advertising. Just this week, the company said it would prohibit advertisers from targeting users based on their Facebook engagement with "sensitive" topics, including religion, health, politics and more.
It was in this environment that Facebook circulated its "guidelines for communicating about fairness analyses" last November. Under those guidelines, Facebook employees were instructed to "avoid legal terminology, including specific concepts like discrimination , disparate treatment and disparate impact , and more general terms such as illegal or violates. These terms, the note's author wrote, "are legal terms with specific meanings and are therefore out of scope for what can be learned through fairness analysis.
The guidelines instructed employees instead to opt for terms like "fairness," "inclusivity" and "relevant groups" when describing their work, while acknowledging that "fairness" is a "context-specific term with no singular definition. Rather than talking about, simply, bias, the guidelines also encouraged Facebook staff to talk about "implementation bias," "model bias" and "label bias," all of which refer to imbalances in how Facebook's AI systems were built, rather than actual discrimination that results from those systems.
The document warns employees that they should get legal approval before making "absolute statements regarding the existence of unfairness or bias or discrimination or appropriate measurement or mitigation strategies. The guidelines illustrate how Facebook has sought to both study and mitigate algorithmic bias, while also avoiding incriminating itself with those findings. They also show how deeply strategic Facebook's decision to talk about these issues was, months before the company ultimately debuted some of its fairness tools in March.
According to other documents in Haugen's disclosures, the guidelines came along at a time when Facebook was trying to reclaim the public narrative about algorithmic bias on the platform.
Another internal document, dated just weeks before the guidelines were posted, discusses how Google, Microsoft and Amazon have publicly discussed their own efforts to make their platforms more fair.
In comparison, that document points out, Facebook had "no online presence concerning AI Fairness" at the time. How to Talk About Fairness by Protocol. The second of two leaders from NYU's AI Now Institute, a small but influential organization researching the social implications of artificial intelligence, just joined the Biden administration to lay the groundwork for government AI policy.
Their previous work suggests their presence might encourage the government to require new transparency from tech companies about how their algorithms work. The Federal Trade Commission earlier this month created an entirely new role for AI Now co-founder Meredith Whittaker, who will serve as senior adviser on AI for an agency where tech staff has been in flux despite a mission to get tougher on tech. AI Now alumna Rashida Richardson — a law professor who served as director of policy research for the group and has a background studying the impact of AI systems like predictive policing tools — joined the White House Office of Science and Technology Policy in July as senior policy adviser for data and democracy.
Whittaker, who once led product and engineering teams at Google and founded the company's Open Research Group, made headlines in for helping guide worker walkouts and fighting use of Google's AI technology by the Pentagon. But it's her work at AI Now crafting practical AI policies intended to prevent encoded bias and discrimination against people that is likely to have the most relevance in her new FTC role.
Merve Hickok, senior research director of the Center for AI and Digital Policy, a group that evaluates national and international policy work on AI, said the inclusion of Whittaker and Richardson in the administration aligns with the mission of OSTP leaders to clarify the rights and freedoms people should be afforded in relation to data-driven technologies.
AI Now and Whittaker declined to comment for this story, but an AI Now spokesperson said Whittaker will remain involved with the organization. Richardson and the OSTP did not respond to request to comment. As the administration attempts to keep regulatory pace with a rapidly advancing AI tech industry, it's a little too early to know whether Whittaker and Richardson's policy goals will sync with those of their respective agencies.
However, with Whittaker filling an entirely new seat and Richardson working under a director at OSTP whose position has for the first time been elevated to the Cabinet level , their voices could carry. For one thing, Whittaker's work could bolster the FTC's efforts to intertwine data privacy and antitrust considerations in cases against tech firms. Whittaker has argued that AI advancements have been largely facilitated by a few dominant tech giants that have the resources to suck up massive amounts of data and spin it into algorithmic systems because of ad-driven business models, a common refrain of FTC Chairwoman Lina Khan.
Whittaker told lawmakers at a U. House Committee on Science, Space and Technology hearing in that the massive amounts of data and vast computational resources fueling the AI boom "are assets that only a handful of major tech companies have, and very few others do.
Whittaker and Richardson's work at AI Now proposing policies for regulating algorithmic systems — from commercial voice and facial recognition tech to automated Medicaid benefit allocation tools — offers some big clues for what they might want to push at their respective agencies. In general, they have suggested specific steps they'd like to see implemented by the government that could force more transparency around AI, something many lawmakers demand from big tech firms like Facebook, Google, Amazon and Twitter, as well as smaller companies.
In testimonies given at separate congressional hearings addressing AI, Whittaker and Richardson called for tech firms to waive trade secrecy claims that block government entities and the public from accessing information about their systems. They also wanted lawmakers to require that companies disclose the names and vendors of AI they use to make decisions that affect people.
At the center of the AI Now proposals highlighted by both Whittaker and Richardson is the algorithmic impact assessment , a framework for evaluating the effects of algorithmic and AI systems. It's a concept that has its foundation in more widely used environmental, human rights and privacy impact assessments. The group spotlighted algorithmic impact assessments in comments on "Competition and Consumer Protection in the 21st Century" submitted to the FTC in , noting the evaluation process would "provide essential information for FTC investigations into potential deception, unfair business practices, or other violations of consumer rights.
VanDruff said we may see Whittaker's influence manifest if she weighs in on new or updated FTC rules or in a case against a company. Even before Khan was named chair, the commission had begun taking a more aggressive stance on algorithmic technologies.
In separate cases, it forced photo app Everalbum and Cambridge Analytica to destroy data garnered through allegedly deceptive means as well as the algorithms built from that data. The agency in April reminded observers of its consumer-protection work in the AI arena, including issuing guidance for businesses using automated decision systems to determine credit scoring or home-loan decisions.
Fresh off a blockbuster IPO that saw his expense management company's value soar by a billion dollars, Expensify CEO David Barrett said small businesses are the core focus. Benjamin Pimentel benpimentel covers fintech from San Francisco. He can be reached at bpimentel protocol. There are four basic submissions: link, image, video and text. All of the submissions require a title, which Reddit encourages to be interesting but devoid of hyperbole and self-promotion.
As a general rule, reddiquette dictates that you should be a civilized person and remember that there's always a human being on the other side of the screen. Of course, no spam or trolling is allowed. While self-promotion is permitted, it's only tolerated in moderation. Just be mindful about what you do, try to be respectful of others, and you will be fine. Yes, beyond the logical etiquette, each subreddit has its own rules that you should read and abide by when posting or commenting. It's always a good idea to read a subreddits rules before you make a submission.
Some subreddits will require you to apply a "flair" to your submission, which roughly identifies what it is about. Some subreddits even allow you to add a personal flair that will appear alongside your username. This can be used to show off your personality or interests. As people upvote or downvote your posts and comments, these get added to your "karma. However, Reddit karma cannot be redeemed and there are no prizes or rewards for amassing a certain amount of it.
It's really just a score that shows how active you are on the website. Any time someone votes negatively to one of your post, you lose points on your global karma. But you shouldn't worry to much. The point of Reddit is not to accumulate karma points but to learn, have fun, waste time or add to the conversation in a constructive or funny way. Yes, you can definitely get banned from Reddit if you are a spammer or attempt to use the platform to spread hate and negativity. It won't ban you from reading, but from participating.
And once you are banned, you are done for good. Again, just be mindful and play according to the rules. If you follow the rules of each subreddit and are a friendly person, you have nothing to worry about. Yes, moderators can ban you for not following the rules. There are different kinds of moderators. Some are more strict than others, but any moderator will quickly ban you if you don't follow the rules on a regular basis. Being banned from a single subreddit only prevents you from posting on that particular forum, you can still browse even when banned.
Plus, you can still submit to other subreddits on the website. You can always contact the moderators and ask. The violent show has stirred up several discussions on Reddit, with some users sharing their own unpopular opinions about its plot and characters. The VIPs are enigmatic characters that are alluded to several times before their actual appearance. It takes real skill and wit to be able to host and design something as huge as the games, year after year, without getting caught by the authorities.
Besides, when compared to all of the other players, Gi-hun is undoubtedly one of the more decent persons in the competition. In fact, he made it clear to all the guards that should their faces ever be seen by anyone on that island, they would immediately be killed. According to him, too many questions are left unanswered.
How did they get into that position? He explains that those rich individuals are there to be entertained and feel alive again.
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