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Courtesy of Mercedes-Benz/Bosch
Mercedes-Benz Offers a Glimpse Into a Future Where Your Car Parks Itself
Samson Amore
Samson Amore is a reporter for dot.LA. He holds a degree in journalism from Emerson College. Send tips or pitches to samsonamore@dot.la and find him on Twitter @Samsonamore.
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Angelenos famously hate parking, but soon their cars may be able to park themselves thanks to a collaboration between Mercedes-Benz and German engineering firm Bosch.
At a demonstration in Downtown Los Angeles on Wednesday, Mercedes and Bosch gave the first U.S. test run showcasing the fruits of their collaboration: an electric Mercedes-Benz 2022 EQS 580 luxury sedan capable of navigating itself into a parking spot.
Painted in bright teal stripes, the sedan first let its driver out at a designated spot. Then, a tap of a Mercedes-Benz phone app locked the vehicle and sent it, at a gradual pace, to the first available parking space. Later, a ping from the app woke up the car—which turned itself on, pulled out of the parking spot and slowly made its way to the driver’s pickup point.
Painted in bright teal stripes, an electric Mercedes-Benz 2022 EQS 580 pulls into a parking spot with no driver.Courtesy of Mercedes-Benz/Bosch
A Bosch engineer stepped in front of the car several times as it was driving to demonstrate its safety features; if sensors detect a presence or any motion in front of the car, they’ll tell it to stop a safe distance away. (For extra security, a person walked alongside the car with an emergency shut-off button.)
Kay Stepper, Bosch’s senior vice president of automated driving for North America, noted that the self-parking technology relies on sensors and cameras built into its surrounding environment, which guide the car into its space. (The sensors are installed on the ground, while the cameras are mounted above.) He added that the technology could be applied to any type of car, so long as a manufacturer makes it compatible with its vehicle.
“The unique thing is really that we are not using any of the in-vehicle sensors—it’s a purely infrastructure-based solution,” Stepper told dot.LA.
The demo marked the first time that Mercedes and Bosch have tested the technology outside of Germany. In their home country, the driverless parking capability is already installed and ready to use at Stuttgart Airport pending final regulatory approval, according to Philipp Skogstad, Mercedes’ president and CEO of North American research and development.
A handful of other auto industry names are also investing in automated valets, including the Volkswagen Group-owned CARIAD, which demonstrated its technology at an industry summit in Munich last. Yet another competitor is Maryland-based STEER. Other companies focused on autonomous technology from more of a road-driving perspective are Google’s Waymo and, of course, Tesla.
Skogstad acknowledged the increasingly crowded playing field. “Automated driving is such a complex task requiring so many pieces to come together that nobody can do that alone,” he said. “No matter how much money you have, you need partners.”
A Bosch engineer tests the self-parking car’s pick-up options.Courtesy of Mercedes-Benz/Bosch
Stepper noted that Bosch is “intensely” focused on finding collaborators in the “smart infrastructure” space who can help it implement a driverless parking network. The next step, he added, is to convince local parking operators to invest in the technology. Without human error (consider that driver in your apartment building’s garage who’s always double-parked), he estimated that a fully-automated parking lot could fit up to 20% more cars.
And what about the valet workers—such as those on hand at the demo, who were kind enough to park cars for the event’s attendees the old-fashioned way? A Bosch spokesperson noted that they wouldn’t exactly be put out of business, as self-parking garages would still need humans to operate and maintain their technology and act as a safeguard.
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Samson Amore
Samson Amore is a reporter for dot.LA. He holds a degree in journalism from Emerson College. Send tips or pitches to samsonamore@dot.la and find him on Twitter @Samsonamore.
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samsonamore@dot.la
Vinfast's First EVs Have Just 180 Miles of Range but Still Cost Over $55K
05:15 AM | December 13, 2022
Vinfast
Vinfast, the Vietnamese EV company with headquarters in Los Angeles, shipped its first order of vehicles to U.S. soil from Hai Phong, Vietnam on November 25th. The batch of 999 automobiles is due to arrive here in California on Thursday this week.
The VF8 SUVs on board will have the difficult task of convincing American buyers that an unknown, untested Vietnamese manufacturer can deliver on a new technology. And so far, the company appears to be off to a rocky start.
According to an email sent to reservation holders on November 29th, the VF8s in the initial shipment will be a special “City Edition” and have lower range advertised than the previously announced versions–just 180 miles in total. Over the weekend, Vinfast confirmed to dot.LA via Twitter that all of the vehicles in the first batch are the City Edition, and that the standard edition would be coming Q1 of 2023. Until this email, there had been little, if any mention of this new City Edition. The message to reservation holders offered no rationale as to why the company was choosing to ship this version of the car instead of the 260-292 mile-range VF8 it’s been advertising for months. Despite the lower range, however, the EVs will still carry a price tag of either $55,500 or $62,500, depending on trim–just $3,000 less than the previously-announced versions.
The VF8 Specs page from Vinfast’s site still bears no mention of a “City Edition,” but that’s what’s coming to America this month.
Vinfast is offering reservation holders an additional $3,000 off these City Edition variants (bringing the total to $6,000 less than the previously announced versions). But even at a discount, the vehicle’s $52,000 price tag is far from competitive with more established EV makers and raises questions about the brand’s strategy and value.
For comparison:
- The 2023 Hyundai Ioniq 5 has 220 miles of range and starts at $42,745. Or 303 miles of range for $60,000.
- The base model Kia EV6 costs $49,795 and goes 206 miles on a full charge.
- The Mustang Mach E starts at 46,895 and reaches 224 miles.
And the list goes on. In fact, you’d be hard pressed to find a 2023 EV with a worse cost to range ratio than the VF8. Vinfast, which has been nearly impossible to reach on this matter despite numerous calls and emails, hasn’t explained why they chose to offer such a range-compromised version as their initial foray into the U.S. market, or why the cost remains so high.
The reaction to the news, especially on Reddit, has been largely negative, with users accusing the company of “springing” the City Edition on reservation holders. Others speculated that the company rushed out the first batch so it could drum up good press before its recently announced IPO. Whatever the reason, most redditors didn’t seem to be buying it, and with Vinfast so reluctant to comment, it’s hard to see the announcement in a light that bodes well for the company’s future. First impressions tend to last, and this doesn’t seem like a good one for the EV hopeful.
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David Shultz
David Shultz reports on clean technology and electric vehicles, among other industries, for dot.LA. His writing has appeared in The Atlantic, Outside, Nautilus and many other publications.
The Learning Perv: How I Learned to Stop Worrying and Love Lensa’s NSFW AI
01:09 PM | December 09, 2022
Drew Grant
It took me 48 hours to realize Lensa might have a problem.
“Is that my left arm or my boob?” I asked my boyfriend, which is not what I’d consider a GREAT question to have to ask when using photo editing software.
“Huh,” my boyfriend said. “Well, it has a nipple.”
Well then.
I had already spent an embarrassing amount of money downloading nearly 1,000 high-definition images of myself generated by AI through an app called Lensa as part of its new “Magical Avatar” feature. There are many reasons to cock an eyebrow at the results, some of which have been covered extensively in the last few days in a mounting moral panic as Lensa has shot itself to the #1 slot in the app store.
The way it works is users upload 10-20 photos of themselves from their camera roll. There are a few suggestions for best results: the pictures should show different angles, different outfits, different expressions. They shouldn’t all be from the same day. (“No photoshoots.”) Only one person in the frame, so the system doesn’t confuse you for someone else.
Lensa runs on Stable Diffusion, a deep-learning mathematical method that can generate images based on text or picture prompts, in this case taking your selfies and ‘smoothing’ them into composites that use elements from every photo. That composite can then be used to make the second generation of images, so you get hundreds of variations with no identical pictures that hit somewhere between the Uncanny Valley and one of those magic mirrors Snow White’s stepmother had. The tech has been around since 2019 and can be found on other AI image generators, of which Dall-E is the most famous example. Using its latent diffusion model and a 400 million image dataset called CLIP, Lensa can spit back 200 photos across 10 different art styles.
Though the tech has been around a few years, the rise in its use over the last several days may have you feeling caught off guard for a singularity that suddenly appears to have been bumped up to sometime before Christmas. ChatGPT made headlines this week for its ability to maybe write your term papers, but that’s the least it can do. It can program code, break down complex concepts and equations to explain to a second grader, generate fake news and prevent its dissemination.
It seems insane that when confronted with the Asminovian reality we’ve been waiting for with either excitement, dread or a mixture of both, the first thing we do is use it for selfies and homework. Yet here I was, filling up almost an entire phone’s worth of pictures of me as fairy princesses, anime characters, metallic cyborgs, Lara Croftian figures, and cosmic goddesses.
And in the span of Friday night to Sunday morning, I watched new sets reveal more and more of me. Suddenly the addition of a nipple went from a Cronenbergian anomaly to the standard, with almost every photo showing me with revealing cleavage or completely topless, even though I’d never submitted a topless photo. This was as true for the male-identified photos as the ones where I listed myself as a woman (Lensa also offers an “other” option, which I haven’t tried.)
Drew Grant
When I changed my selected gender from female to male: boom, suddenly, I got to go to space and look like Elon Musk’s Twitter profile, where he’s sort of dressed like Tony Stark. But no matter which photos I entered or how I self-identified, one thing was becoming more evident as the weekend went on: Lensa imagined me without my clothes on. And it was getting better at it.
Was it disconcerting? A little. The arm-boob fusion was more hilarious than anything else, but as someone with a larger chest, it would be weirder if the AI had missed that detail completely. But some of the images had cropped my head off entirely to focus just on my chest, which…why?
According to AI expert Sabri Sansoy, the problem isn’t with Lensa’s tech but most likely with human fallibility.
“I guarantee you a lot of that stuff is mislabeled,” said Sansoy, a robotics and machine learning consultant based out of Albuquerque, New Mexico. Sansoy has worked in AI since 2015 and claims that human error can lead to some wonky results. “Pretty much 80% of any data science project or AI project is all about labeling the data. When you’re talking in the billions (of photos), people get tired, they get bored, they mislabel things and then the machine doesn’t work correctly.”
Sansoy gave the example of a liquor client who wanted software that could automatically identify their brand in a photo; to train the program to do the task, the consultant had first to hire human production assistants to comb through images of bars and draw boxes around all the bottles of whiskey. But eventually, the mind-numbing work led to mistakes as the assistants got tired or distracted, resulting in the AI learning from bad data and mislabeled images. When the program confuses a cat for a bottle of whiskey, it’s not because it was broken. It’s because someone accidentally circled a cat.
So maybe someone forgot to circle the nudes when programming Stable Diffusion’s neural net used by Lensa. That’s a very generous interpretation that would explain a baseline amount of cleavage shots. But it doesn’t explain what I and many others were witnessing, which was an evolution from cute profile pics to Brassier thumbnails.
When I reached out for comment via email, a Lensa spokesperson responded not by directing us to a PR statement but actually took the time to address each point I’d raised. “It would not be entirely accurate to state that this matter is exclusive to female users,” said the Lensa spokesperson, “or that it is on the rise. Sporadic sexualization is observed across all gender categories, although in different ways. Please see attached examples.” Unfortunately, they were not for external use, but I can tell you they were of shirtless men who all had rippling six packs, hubba hubba.
“The stable Diffusion Model was trained on unfiltered Internet content, so it reflects the biases humans incorporate into the images they produce,” continued the response. Creators acknowledge the possibility of societal biases. So do we.” It reiterated the company was working on updating its NSFW filters.
As for my insight about any gender-specific styles, the spokesperson added: “The end results across all gender categories are generated in line with the same artistic principles. The following styles can be applied to all groups, regardless of their identity: Anime and Stylish.”
I found myself wondering if Lensa was also relying on AI to handle their PR, before surprising myself by not caring all that much. If I couldn’t tell, did it even matter? This is either a testament to how quickly our brains adapt and become numb to even the most incredible of circumstances; or the sorry state of hack-flack relationships, where the gold standard of communication is a streamlined transfer of information without things getting too personal.
As for the case of the strange AI-generated girlfriend? “Occasionally, users may encounter blurry silhouettes of figures in their generated images. These are just distorted versions of themselves that were ‘misread’ by the AI and included in the imagery in an awkward way.”
So: gender is a social construct that exists on the Internet; if you don’t like what you see, you can blame society. It’s Frankenstein’s monster, and we’ve created it after our own image.
Or, as the language processing AI model ChatGPT might put it: “Why do AI-generated images always seem so grotesque and unsettling? It's because we humans are monsters and our data reflects that. It's no wonder the AI produces such ghastly images - it's just a reflection of our own monstrous selves.”
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Drew Grant
Drew Grant is dot.LA's Senior Editor. She's a media veteran with over 15-plus years covering entertainment and local journalism. During her tenure at The New York Observer, she founded one of their most popular verticals, tvDownload, and transitioned from generalist to Senior Editor of Entertainment and Culture, overseeing a freelance contributor network and ushering in the paper's redesign. More recently, she was Senior Editor of Special Projects at Collider, a writer for RottenTomatoes streaming series on Peacock and a consulting editor at RealClearLife, Ranker and GritDaily. You can find her across all social media platforms as @Videodrew and send tips to drew@dot.la.
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