An epic four-Test series between Australia and India will be in the lap of the weather gods on its decisive final day at the Gabba, where the tourists will resume on 4-0 after being set a target of 328.Australia were bowled out for 294 on a topsy-turvy fourth day of he series-deciding fourth Test. India were slated to face 25 overs on Monday afternoon but wet weather, having earlier resulted in a brief delay at tea, meant stumps were pulled after 1.5 overs.Two dropped catches and a wagging tail helped the hosts push their lead beyond 300 on Monday. The highest successful chase in a Gabba Test came in 1951, when Australia finished 236-7.However, the hosts have fresher memories of how India incredibly salvaged a draw after threatening to reel in a target of 407 last week at the SCG. Tim Paine’s team require a victory to reclaim the Border-Gavaskar trophy but further showers are predicted for the final day of the series.“I believe a drawn series here for Australia … it’s actually as bad as a loss,” Ricky Ponting said on the Seven Network.Speculation bubbled throughout Monday as to when Paine might declare but India, as they have at every juncture since being skittled for 36 en route to a heavy defeat in Adelaide, fought back whenever Australia looked to be on top.Mohammed Siraj finished with 5-73, the second best figures by any Indian fast bowler at the Gabba, after grabbing two wickets in a chaotic collapse of 34-4 on Monday morning.Siraj, who debuted at the MCG but is now spearheading India’s unheralded attack, put down two crucial chances after lunch. The paceman was fielding on the rope when he reprieved Steve Smith on 42 then grassed a return catch offered by Cameron Green on 14.Siraj produced a nasty delivery that reared off the pitch to remove Smith for 55, while Shardul Thakur’s dismissals of Green (37) and Paine (27) were also crucial.Pat Cummins, Nathan Lyon and Josh Hazlewood added 47 runs for the final two wickets. David Warner (48) and Marcus Harris (38) enjoyed a productive start to the day, adding 40 runs during the first seven overs after Australia resumed at 21-0.First-change bowlers Thakur and Washington Sundar, who combined in an unforgettable seventh-wicket stand of 123 runs, built dot-ball pressure to ignite yet another momentum shift.Thakur ended the highest opening partnership that either side has managed during the series, an 89-run effort between Warner and Harris. The paceman is the first tourist since Dale Steyn in 2008 to snare seven-plus wickets and score a half-century during a Test in Australia.
The attack on the U.S. Capitol building was the culmination of years of disinformation and conspiracy theories that had been weaponized on social media networks. Could that weaponization have been prevented? Perhaps. The dominant business model of these platforms, which emphasized scale over other considerations, made them particularly vulnerable to disinformation networks and related backlash against those networks — both the loss of infrastructure support, as in the case of Parler, and the threat of regulatory crackdown, as in the case of Facebook and Twitter. While the scale-centric business model paid off for these networks in the short to medium term, the overlooked risks of that model have brought these platforms to the reckoning they face today.
Over the last four years, disinformation has become a global watchword. After Russian meddling on social networks during the 2016 U.S. presidential election, experts expressed concerns that social media would continue to be weaponized — warnings that were often dismissed as hyperbolic.
But the January 6 siege on the U.S. Capitol building illustrates just how powerful a networked conspiracy can be when it’s amplified through social media. The attack was the culmination of years of disinformation from President Trump, which ramped up after Biden was declared the president-elect — and largely the product of social media companies’ inability to control the weaponization of their products.
Over the years, we’ve witnessed different approaches to weaponization take shape. While Russian meddling illustrated the potential for well-placed disinformation to spread across social media, the 2017 “Unite the Right” event in Charlottesville, Va. showed how a group of white supremacists could use social media to plan a violent rally. The Capitol siege had elements of both — it involved a wider ideological spectrum than Charlottesville, and participants had not simply coordinated over social media, but had been brought together through it. The insurrectionists were united by their support for Donald Trump and their false belief that the election had been stolen from him. At the apex of the moment, Trump used social media to message to the rabid crowd in real time from his mobile phone at a safe remove.
This has raised fundamental questions about the future of the platforms where this all played out. Mainstream platforms like Facebook and Twitter are being forced to reckon with their moderation policies and facing calls for regulation. And the conservative social media network Parler, which prides itself on its minimalist approach to content moderation, has lost all infrastructure support from Apple, Android, and Amazon Web Services over posts inciting violence, including planning and coordination around the Capitol attack. Without buy-in across infrastructure services, it can be difficult for apps and websites to stay online.
But in order to know what comes next, we need to ask: How did social media become a disinformation machine? And how do the business models of these tech companies explain how that happened?
Everything open will be exploited.
For more than a decade, the business model for today’s social media giants, Facebook, YouTube, and Twitter has been to pursue scale. Great ideas, such as the video sharing platform Vine, were left behind in this pursuit, while shareholder KPIs were pegged to expanding the user base. This approach has a significant weakness: When a platform’s growth depends on openness, it’s more vulnerable to malicious use. As we can now see, this open business model can leave companies exposed in ways that these businesses are now are being forced to reckon with.
There have been a few critical phases that lead to this moment. Each, in its own way, illustrated how the vulnerability of the open, scale-centric business model of social media platforms could be exploited.
Relatively early on, the focus on growth set the conditions for the development of a shadow industry of fake followers and artificial engagement. According to insiders, this was well-known, but social media companies avoided discussions about the abuse of their products. Billions of advertising dollars were lost to fake impressions and clicks as more and more bad actors leveraged openness as a financial opportunity.
When online marketing was turned into a political tool, however, the field of bad actors expanded greatly — as did the possible damage they could do. The connection between social media and political events such as Brexit and Trump’s win became clear after Carole Cadwalladr broke the Cambridge Analytica scandal. The incident provided a case study in how data harvested from social media could be repurposed to target specific audiences with content that inflamed political tensions and fractured coalitions, not to mention plant junk news and generally make chaos and confusion reign.
That development coincided with a similar assault on the sensibility of social media users — the creation of military fan fiction known as “QAnon” in 2017. Rising from the ashes of the Pizzagate conspiracy, which claimed Hilary Clinton was part of a child-exploitation network in D.C., a mysterious account named “Q” began posting cryptic missives on a message board known for memes, anime pornography, and white supremacist organizing. While wide-ranging, the core narrative of QAnon was that Trump was secretly engaged in a war with the “deep state” to arrest Clinton and stop a Democrat-run cabal of Satan worshiping pedophiles engaged in large-scale human trafficking. For years, QAnon followers were told to “trust the plan.” (Yes, I know it sounds crazy, but the narrative pegged itself to the news cycle and every twist and turn in the media that seemed to prevent Trump from carrying out his agenda provided additional fodder.)
With QAnon, the fringe moved to the mainstream, with Q discussion threads popping up on Facebook, Reddit, and Twitter. The platforms’ growth model meant content and groups that produced high engagement were rewarded with higher priority in recommendations. In other words, QAnon communities delivered the kind of content that social networks prize and benefited accordingly. A few specific events, like the arrest of Jeffery Epstein and the Las Vegas mass shooting, generated bursts of new interest in Q’s posts and analysis of them. Q networks also incorporated the emergence of Covid-19, launching a hoax claiming the pandemic was a Democratic plot against Trump and organized several protests to this end.
Belatedly, some tech companies responded. Facebook and Twitter took some action to remove Q networks on their products this summer. Reddit did not have the same problems because they took action early to remove Q forums, and the conspiracy theory never gained a strong foothold on the platform. But by the time Twitter and Facebook took action, Q communities had already planned for deplatforming, creating redundant networks on other apps with smaller networks, like Gab and Parler.
With the election of Joe Biden in November, the effects of these trends became clear. The outcome of the election was jarring to those who were saturated by these conspiracy theories. The feeling of being alienated politically, while also isolated during a pandemic, had fired up many Q followers to the point where Trump only needed to light the match on social media to spread election conspiracies like digital wildfire.
In every instance leading up to January 6, the moral duty was to reduce the scale and pay more attention to the quality of viral content. We saw the cost of failing to do so.
Where we go from here.
In his book Anti-Social Media, Siva Vaidhyanathan writes, “If a global advertising company leverages its vast array of dossiers on its two billion users to limit competition and invite antidemocratic forces to infest its channels with disinformation, democratic states should move to break it up and to limit what companies can learn and use about citizens.” In the wake of the attack on the Capitol, we’re seeing a growing interest in doing just that.
As we, as a society, consider next steps, we should keep in mind that emphasizing scale has a trade off with safety. Furthermore, failing to act on disinformation and viral conspiracy doesn’t mean they will eventually just go away; in fact, the opposite is true. Because social media seems to move the fringe to the mainstream, by connecting people with similar interests from the mundane to the utterly bizarre, tech companies must come up with a plan for content curation and community moderation that reflects a more human scale.
Tech companies, including start-ups wary of overreach, and VCs should begin to draw up model policies for regulators to consider, bearing in mind that openness and scale pose significant risks not only to profits, but to democracies.
Xpeng CEO He Xiaopeng stands next to the company’s P7 electric sedan as he addresses media at the 2020 Beijing auto show.
Evelyn Cheng | CNBC
GUANGZHOU, China — Chinese electric carmaker Xpeng Motors has announced a new autonomous driving feature designed to work on highways, as it ramps up its challenge to domestic rivals as well as Tesla.
The feature — called Navigation Guided Pilot or NGP — will allow the company’s flagship P7 sedan to automatically change lanes, speed up or slow down, or overtake cars and enter and exit highways.
It is part of the next generation of Xpeng’s XPILOT 3.0 so-called advanced driver-assistance system (ADAS) which the company expects to launch in the first quarter of this year. ADAS refers to a system with some autonomous features but where a driver is still required.
Xpeng is one of China’s electric vehicle start-ups looking to race ahead in the country’s growing market as it battles other upstarts such as Nio and Li Auto, as well as U.S. electric car giant Tesla.
Mass deliveries of Xpeng’s P7 sedan, a direct rival to Tesla’s Model 3, began last June. Xpeng delivered 27,041 vehicles in 2020 — more than double from a year ago.
The NGP is a challenge to Tesla’s autonomous ADAS called Autopilot. One of Autopilot’s features is called Navigate on Autopilot, which has similar functions to Xpeng’s NGP.
China’s electric vehicle companies are looking to add more autonomous features to their cars. Nio has its own system called NIO Pilot.
How Xpeng’s system works
A driver will need to watch a safety video before being able to turn on Xpeng’s highway driving function. Drivers need to keep their hands on the wheel while using the vehicle’s autonomous driving features.
Users then input their destination into the map. The car will then begin to carry out some of the functions like lane switching by itself.
Drivers will get a warning when they need to take manual control of the car, for example, during adverse weather conditions or a road accident.
Xpeng says its cars are equipped with 14 cameras and other critical sensors. Nvidia’s Xavier computing system powers XPILOT 3.0.
The highway driving feature will be available on the premium version of the P7 and available to customers in China only.
Last year – forgive me, you’ve heard it all before – working from home in a lockdown meant the perpetual shuffling and reshuffling of the family hierarchy, like being a croupier in a casino of the mundane. Who deserved the best Zoom background, the person meeting the NHS mental health commissioners, or the one interviewing a well-loved face from daytime TV? Who should stack the dishwasher, the person who tessellated the best, or the person who didn’t do it the last four times? It boiled down to whose work was the most important, and it is surprising just how much variety you can work up around that single argument. The pinnacle was wifi, and that was pretty simple: if you had proper work, you deserved it, and if you were trying to keep a pig alive in Minecraft, you could be kicked off as the situation demanded.Never have I been bitten so hard by one of my own rules. Remote learning has taken a wild turn. The school is doing live lessons all day long, and you can’t walk past anyone’s door without hearing something you didn’t know about Descartes (everything, in truth) or the gentle patience of a maths teacher wondering out loud whether everyone’s finished. Even the two children who are both in the same year have different timetables, and even if they’re not WhatsApping their friends, which they always are, the bandwidth is straining its seams. Mr Z can still make a solid case for his internet usage, as he is solving the mental health crisis all day long, and such work can only be undertaken in partnership with everyone else who wants to solve it.The weak link here is me. Everyone wonders why I need to be online. One of the 13 year-olds asked yesterday why I couldn’t do it all longhand and type it up later. Did I even really need a computer? I felt like King Lear. O reason not the need! Allow not nature more Twitter-hours than nature needs, man’s life’s as cheap as beast’s!