LinkedIn is testing a new feed of TikTok-like vertical videos. The feature hasn’t been publicly announced but it’s been spotted by users in recent days and the company confirmed the tests to TechCrunch.
According to a screenshot shared by Instagram employee Jenny Eishingdrelo and a video posted to LinkedIn by influencer marketing exec Austin Null, the new feed will appear in a separate “video” tab in the LinkedIn app. Users will be able to scroll vertically to move between clips, much like TikTok or Instagram Reels.
It’s not the first time the company has hopped on a trendy format. LinkedIn previously experimented with a Stories feature for disappearing posts. That feature lasted less than a year, though the professional network hinted at the time that it wasn’t done with its video experiments, saying it was working “to evolve the Stories format into a reimagined video experience across LinkedIn.”
Presumably, LinkedIn is hoping the feed will showcase content from its ranks of professional creators and thought leaders, many of whom are already posting video to their feeds. However, it’s not clear how many of the site’s users are interested in a dedicated video feed for workplace-related content.
This article originally appeared on Engadget at https://www.engadget.com/linkedin-is-testing-a-tiktok-like-feed-for-vertical-video-233454044.html?src=rss
An oddball new app called Palmsy lets you post to a social media network full of adoring followers who only exist in your imagination. Whether used as a journaling app with a fresh twist or a nicotine patch equivalent for social media addiction, Palmsy prevents the real world from ever seeing your “posts,” storing them on-device, offline and private.
Palmsy’s App Store description says it “lets you make little posts for yourself.” And, at its core, that’s all you’re doing. As for why you’d want to do such a thing, people who have trouble with typical journaling or mind-mapping apps may find it a more inspiring framework. Or, if your social posting habit has gotten out of hand (or you want a break from it for any other reason), it could serve as a way to wean yourself off and give you the dopamine hit without sharing anything publicly.
One clever wrinkle from developer Pat Nakajima is that the app imports your contacts to generate fake likes from them. As pointed out by TechCrunch, Nakajima wrote on Threads that nothing leaves your device or is posted to your contacts, the app’s servers or anywhere else. “It’s just pretend,” he clarified.
If seeing fake likes from real contacts feels a bit too weird, a recent update added the ability to limit the number of faux likes your posts get. You can also set caps on how long you receive them, ranging from a few seconds to a few days.
The app is free and iOS-only, including iPhone and iPad variants.
This article originally appeared on Engadget at https://www.engadget.com/journaling-app-palmsy-offers-fake-likes-from-real-friends-194059136.html?src=rss
An oddball new app called Palmsy lets you post to a social media network full of adoring followers who only exist in your imagination. Whether used as a journaling app with a fresh twist or a nicotine patch equivalent for social media addiction, Palmsy prevents the real world from ever seeing your “posts,” storing them on-device, offline and private.
Palmsy’s App Store description says it “lets you make little posts for yourself.” And, at its core, that’s all you’re doing. As for why you’d want to do such a thing, people who have trouble with typical journaling or mind-mapping apps may find it a more inspiring framework. Or, if your social posting habit has gotten out of hand (or you want a break from it for any other reason), it could serve as a way to wean yourself off and give you the dopamine hit without sharing anything publicly.
One clever wrinkle from developer Pat Nakajima is that the app imports your contacts to generate fake likes from them. As pointed out by TechCrunch, Nakajima wrote on Threads that nothing leaves your device or is posted to your contacts, the app’s servers or anywhere else. “It’s just pretend,” he clarified.
If seeing fake likes from real contacts feels a bit too weird, a recent update added the ability to limit the number of faux likes your posts get. You can also set caps on how long you receive them, ranging from a few seconds to a few days.
The app is free and iOS-only, including iPhone and iPad variants.
This article originally appeared on Engadget at https://www.engadget.com/journaling-app-palmsy-offers-fake-likes-from-real-friends-194059136.html?src=rss
Instagram is working on a feature that would recommend Reels to you and a friend based on videos you've shared with each other and your individual interests. Reverse engineer Alessandro Paluzzi unearthed the feature, which is called Blend. Instagram confirmed to TechCrunch that it's testing Blend internally and it hasn't started trialing it publicly. It may be the case that Blend never sees the light of day, though it's always intriguing to find out about the ideas Instagram is toying with.
The platform hasn't revealed more details about how Blend will work, though the idea seems to be that Instagram users and one of their besties will discover new Reels together instead of one of them finding a video they like and DMing it to the other. It would make sense for Blend to have an indicator that the other person has already seen a particular Reel so that the two people who have access to the feed can start chatting about it.
TikTok doesn't have a feature along these lines, as TechCrunch notes, so Blend could give Instagram an advantage when it comes to folks who like to check out short-form videos together. As with many of the other features platforms of this ilk introduce, Blend fundamentally seems to be about increasing engagement.
#Instagram is working on Blend: #Reels recommendations based on reels you've shared each other and your reels interests 👀
This article originally appeared on Engadget at https://www.engadget.com/instagram-is-working-on-new-reels-feed-that-combines-two-users-interests-192018928.html?src=rss
Instagram is working on a feature that would recommend Reels to you and a friend based on videos you've shared with each other and your individual interests. Reverse engineer Alessandro Paluzzi unearthed the feature, which is called Blend. Instagram confirmed to TechCrunch that it's testing Blend internally and it hasn't started trialing it publicly. It may be the case that Blend never sees the light of day, though it's always intriguing to find out about the ideas Instagram is toying with.
The platform hasn't revealed more details about how Blend will work, though the idea seems to be that Instagram users and one of their besties will discover new Reels together instead of one of them finding a video they like and DMing it to the other. It would make sense for Blend to have an indicator that the other person has already seen a particular Reel so that the two people who have access to the feed can start chatting about it.
TikTok doesn't have a feature along these lines, as TechCrunch notes, so Blend could give Instagram an advantage when it comes to folks who like to check out short-form videos together. As with many of the other features platforms of this ilk introduce, Blend fundamentally seems to be about increasing engagement.
#Instagram is working on Blend: #Reels recommendations based on reels you've shared each other and your reels interests 👀
This article originally appeared on Engadget at https://www.engadget.com/instagram-is-working-on-new-reels-feed-that-combines-two-users-interests-192018928.html?src=rss
OpenAI just announced that it recently conducted a small-scale preview of a new tool called Voice Engine. This is a voice cloning technology that can mimic any speaker by analyzing a 15-second audio sample. The company says it generates “natural-sounding speech” with “emotive and realistic voices.”
The technology is based on the company’s pre-existing text-to-speech API and it has been in the works since 2022. OpenAI has already been using a version of the toolset to power the preset voices available in the current text-to-speech API and the Read Aloud feature. There are a bunch of samples on the company’s official blog and they sound eerily close to the real thing. I encourage you to give them a listen and imagine the possibilities, both good and bad.
OpenAI says they see this technology being useful for reading assistance, language translation and helping those who suffer from sudden or degenerative speech conditions. The company brought up a Brown University pilot program that helped a patient with speech impairment issues by creating a Voice Engine clone pulled from audio recorded for a school project.
Despite the potential benefits, bad actors would certainly abuse this technology to engage in some serious deepfake tomfoolery, which is already a problem. With this in mind, Voice Engine isn’t quite ready for prime time, as there are serious privacy concerns that must be met before a full rollout.
OpenAI acknowledges that this tech has “serious risks, which are especially top of mind in an election year.” The company says its incorporating feedback from “US and international partners from across government, media, entertainment, education, civil society and beyond” to ensure the product launches with a minimal amount of risk. All preview testers agreed to OpenAI’s usage policies, which ban the impersonation of another individual without consent or legal right.
Additionally, anybody using the tech will have to disclose to their audience that the voices are AI-generated. OpenAI implemented safety measures, like watermarking to trace the origin of any audio and “proactive monitoring” of how the system is being used. When the product officially rolls out there will be a “no-go voice list” that detects and prevents AI-generated speakers that are too similar to prominent figures.
As for when that rollout will occur, OpenAI remains tight-lipped. TechCrunchuncovered some potential pricing data and it looks like it will undercut competitors in the space like ElevenLabs. Voice Engine could cost $15 per one million characters, which works out to around 162,500 words. This is about the length of Stephen King’s The Shining. It certainly sounds like a budget-friendly way to get an audiobook done. The marketing materials also make reference to an “HD” version that costs twice as much, but the company hasn’t detailed how that will work.
OpenAI has been making big moves this week. It just announced another partnership with its bestie Microsoft to build an AI-based supercomputer called “Stargate.” The project will reportedly cost a whopping $100 billion, according to The Information.
This article originally appeared on Engadget at https://www.engadget.com/openai-says-it-can-clone-a-voice-from-just-15-seconds-of-audio-190356431.html?src=rss
OpenAI just announced that it recently conducted a small-scale preview of a new tool called Voice Engine. This is a voice cloning technology that can mimic any speaker by analyzing a 15-second audio sample. The company says it generates “natural-sounding speech” with “emotive and realistic voices.”
The technology is based on the company’s pre-existing text-to-speech API and it has been in the works since 2022. OpenAI has already been using a version of the toolset to power the preset voices available in the current text-to-speech API and the Read Aloud feature. There are a bunch of samples on the company’s official blog and they sound eerily close to the real thing. I encourage you to give them a listen and imagine the possibilities, both good and bad.
OpenAI says they see this technology being useful for reading assistance, language translation and helping those who suffer from sudden or degenerative speech conditions. The company brought up a Brown University pilot program that helped a patient with speech impairment issues by creating a Voice Engine clone pulled from audio recorded for a school project.
Despite the potential benefits, bad actors would certainly abuse this technology to engage in some serious deepfake tomfoolery, which is already a problem. With this in mind, Voice Engine isn’t quite ready for prime time, as there are serious privacy concerns that must be met before a full rollout.
OpenAI acknowledges that this tech has “serious risks, which are especially top of mind in an election year.” The company says its incorporating feedback from “US and international partners from across government, media, entertainment, education, civil society and beyond” to ensure the product launches with a minimal amount of risk. All preview testers agreed to OpenAI’s usage policies, which ban the impersonation of another individual without consent or legal right.
Additionally, anybody using the tech will have to disclose to their audience that the voices are AI-generated. OpenAI implemented safety measures, like watermarking to trace the origin of any audio and “proactive monitoring” of how the system is being used. When the product officially rolls out there will be a “no-go voice list” that detects and prevents AI-generated speakers that are too similar to prominent figures.
As for when that rollout will occur, OpenAI remains tight-lipped. TechCrunchuncovered some potential pricing data and it looks like it will undercut competitors in the space like ElevenLabs. Voice Engine could cost $15 per one million characters, which works out to around 162,500 words. This is about the length of Stephen King’s The Shining. It certainly sounds like a budget-friendly way to get an audiobook done. The marketing materials also make reference to an “HD” version that costs twice as much, but the company hasn’t detailed how that will work.
OpenAI has been making big moves this week. It just announced another partnership with its bestie Microsoft to build an AI-based supercomputer called “Stargate.” The project will reportedly cost a whopping $100 billion, according to The Information.
This article originally appeared on Engadget at https://www.engadget.com/openai-says-it-can-clone-a-voice-from-just-15-seconds-of-audio-190356431.html?src=rss
X is working on features that will allow admins of “Communities,” the platform’s tool for subreddit-like groups, to designate the spaces as containing “adult content.” The change was confirmed by an engineer at X amid reports that the Elon Musk-owned company was working on enabling NSFW groups.
In a post on X, engineer Dong Wook Chung noted that “soon” NSFW content would be automatically filtered in the app’s Communities feature. “Admins can now set 'Adult content' in Settings to avoid auto-filtering of the content,” Chung said.
As Bloomberg reported, researchers had previously spotted clues that X planned to enable settings for “adult-sensitive” content. X permits users to share nudity and other “graphic” content, but doesn’t allow it to appear in certain parts of the app, like profile photos and cover images for Communities.
X’s Communities feature predates Musk’s takeover of the company. Twitter began experimenting with the idea in 2021, saying it would provide “a more intimate space for conversations” on the platform. Though Twitter never publicly discussed enabling NSFW features for Communities, the app allowed adult content, unlike most of its social media peers. The company reportedly looked into creating an OnlyFans competitor with its creator subscription product in 2022. The plan was eventually scrapped, according to the Platformer newsletter, due to concerns it would “worsen” the company’s problems with illegal child exploitation content.
It’s not clear if X’s current leadership has addressed those concerns. In a separate post, Chung, the X engineer, stated that the new filtering settings “is about making Communities safer for everyone by automatically filtering out” adult content. “Only users who have specified their age will be able to search Communities with NSFW content.”
X didn’t immediately respond to a request for comment.
This article originally appeared on Engadget at https://www.engadget.com/x-is-working-on-nsfw-communities-for-adult-content-184629839.html?src=rss
X is working on features that will allow admins of “Communities,” the platform’s tool for subreddit-like groups, to designate the spaces as containing “adult content.” The change was confirmed by an engineer at X amid reports that the Elon Musk-owned company was working on enabling NSFW groups.
In a post on X, engineer Dong Wook Chung noted that “soon” NSFW content would be automatically filtered in the app’s Communities feature. “Admins can now set 'Adult content' in Settings to avoid auto-filtering of the content,” Chung said.
As Bloomberg reported, researchers had previously spotted clues that X planned to enable settings for “adult-sensitive” content. X permits users to share nudity and other “graphic” content, but doesn’t allow it to appear in certain parts of the app, like profile photos and cover images for Communities.
X’s Communities feature predates Musk’s takeover of the company. Twitter began experimenting with the idea in 2021, saying it would provide “a more intimate space for conversations” on the platform. Though Twitter never publicly discussed enabling NSFW features for Communities, the app allowed adult content, unlike most of its social media peers. The company reportedly looked into creating an OnlyFans competitor with its creator subscription product in 2022. The plan was eventually scrapped, according to the Platformer newsletter, due to concerns it would “worsen” the company’s problems with illegal child exploitation content.
It’s not clear if X’s current leadership has addressed those concerns. In a separate post, Chung, the X engineer, stated that the new filtering settings “is about making Communities safer for everyone by automatically filtering out” adult content. “Only users who have specified their age will be able to search Communities with NSFW content.”
X didn’t immediately respond to a request for comment.
This article originally appeared on Engadget at https://www.engadget.com/x-is-working-on-nsfw-communities-for-adult-content-184629839.html?src=rss
Gig work predates the internet. Besides traditional forms of self-employment, like plumbing, offers for ad-hoc services have long been found in the Yellow Pages and newspaper classified ads, and later Craigslist and Backpage which supplanted them. Low-cost broadband internet allowed for the proliferation of computer-based gig platforms like Mechanical Turk, Fiverr and Elance, which offered just about anyone some extra pocket change. But once smartphones took off, everywhere could be an office, and everything could be a gig — and thus the gig economy was born.
Maybe it was a confluence of technological advancement and broad financial anxiety from the 2008 recession, but prospects were bad, people needed money and many had no freedom to be picky about how. This was the same era in which the phrase "the sharing economy" proliferated — at once sold as an antidote to overconsumption, but that freedom from ownership belied the more worrying commoditization of any skill or asset. Of all the companies to take advantage of this climate, none went further or have held on harder than Uber.
Uber became infamous for railroading its way into new markets without getting approval from regulators. It cemented its reputation as a corporate ne'er-do-well through a byzantine scandal to avoid regulatory scrutiny, several smaller ones over user privacy and minimally-beneficial surcharges as well as, in its infancy, an internal reputation for sexual harassment and discrimination. Early on, the company used its deep reserves of venture capital to subsidize its own rides, eating away at the traditional cab industry in a given market, only to eventually increase prices and try to minimize driver pay once it reached a dominant position. Those same reserves were spent aggressively recruiting drivers with signup bonuses and convincing them they could be their own boss.
Self-employment has a whiff of something liberatory, but Uber effectively turned a traditionally employee-based industry into one that was contractor-based. This meant that one of the first casualties of the ride-sharing boom were taxi medallions. For decades, cab drivers in many locales effectively saw these licenses as retirement plans, as they'd be able to sell them on to newcomers when it was time to hang up their flat cap. But in large part due to the influx of ride-sharing services, the value of medallions has plummeted over the last decade or so — in New York, for instance, the value of a medallion dropped from around $1 million in 2014 to $100,000 in 2021. That's in tandem with a drop in earnings, leaving many struggling to pay off enormous loans they took out to buy a medallion.
Some jurisdictions have sought to offset that collapse in medallion value. Quebec pledged $250 million CAD in 2018 to compensate cab drivers. Other regulators, particularly in Australia, applied a per-ride fee to ride-sharing services as part of efforts to replace taxi licenses and compensate medallion holders. In each of those cases, taxpayers and riders, not rideshare companies, bore the brunt of the impact on medallion holders.
At first it was just cab drivers that were hurting, but over the years, compensation for this new class of non-employee app drivers dried up too. In 2017, Uber paid $20 million to settle allegations from the Federal Trade Commission that it used false promises about potential earnings to entice drivers to join its platform. Late last year, Uber and Lyft agreed to pay $328 million to New York drivers after the state conducted a wage theft investigation. The settlement also guaranteed a minimum hourly rate for drivers outside of New York City, where drivers were already subject to minimum rates under Taxi & Limousine Commission rules.
Many rideshare drivers have also sought recognition as employees rather than contractors, so they can have a consistent hourly wage, overtime pay and benefits — efforts that the likes of Uber and rival Lyft have been fighting against. In January, the Department of Labor issued a final rule that aims to make it more difficult for gig economy companies to classify workers as independent contractors rather than employees. The EU is also weighing a provisional deal to reclassify millions of app workers as employees.
Of course, the partial erosion of an entire industry's labor market wasn't always the end goal. At one point, Uber wanted to zero out labor costs by getting rid of drivers entirely. It planned to do so by rolling out a fleet of self-driving vehicles and flying taxis.
"The reason Uber could be expensive is because you're not just paying for the car — you're paying for the other dude in the car," former CEO Travis Kalanick said in 2014, a day after Uber suggested drivers could make $90,000 per year on the platform. "When there's no other dude in the car, the cost of taking an Uber anywhere becomes cheaper than owning a vehicle. So the magic there is, you basically bring the cost below the cost of ownership for everybody, and then car ownership goes away."
Uber's grand automation plans didn't work out as intended, however. The company, under current CEO Dara Khosrowshahi, sold its self-driving car and flying taxi units in late 2020.
Uber's success had second-order effects too: despite a business model best described as "set money on fire until (fingers crossed!) a monopoly is established" a whole slew of startups were born, taking their cues from Uber or explicitly pitching themselves as "Uber for X." Sure, you might find a place to stay on Airbnb or Vrbo that's nicer and less expensive than a hotel room. But studies have shown that such companies have harmed the affordability and availability of housing in some markets, as many landlords and real-estate developers opt for more profitable short-term rentals instead of offering units for long-term rentals or sale. Airbnb has faced plenty of other issues over the years, from a string of lawsuits to a mass shooting at a rental home.
Increasingly, this is becoming the blueprint. Goods and services are exchanged by third parties, facilitated by a semi-automated platform rather than a human being. The platform's algorithm creates the thinnest veneer between choice and control for the workers who perform identical labor to the industry that platform came to replace, but that veneer allows the platform to avoid traditionally pesky things like legal liability and labor laws. Meanwhile, customers with fewer alternative options find themselves held captive by these once-cheap platforms that are now coming to collect their dues. Dazzled by the promise of innovation, regulators rolled over or signed a deal with the devil. It's everyone else who's paying the cost.
To celebrate Engadget's 20th anniversary, we're taking a look back at the products and services that have changed the industry since March 2, 2004.
This article originally appeared on Engadget at https://www.engadget.com/how-uber-and-the-gig-economy-changed-the-way-we-live-and-work-164528738.html?src=rss