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XThe Lithium Race Takes Shape in the Salton Sea
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.
Located roughly a hundred miles east of San Diego, the Salton Sea is California’s largest landlocked body of water, for now.
Measuring 5 miles across and 35 miles long in its current form, the lake was created by diverting water from the Colorado River into the region for agricultural purposes. Once a vacation destination renowned for its wildlife and wetlands, a series of environmental mishaps and mismanagement have left the lake toxically salty, shrinking and often malodorous. Conditions have gotten so bad that Palm Springs Life Magazine called the region’s transformation “the biggest environmental disaster in California history” in March of 2020.
But against this unlikely backdrop, new life—or at least new industry—is scrambling to set up shop in the region. The Salton Sea, it turns out, is rich with lithium, an element that has taken center stage in the world’s transition to clean energy and its ever-growing demand for batteries. From smartphones to electric vehicles, there’s a pretty good chance that the last battery you used had lithium ions inside. Prices for the metal reached an all time high in September, and futures are up more than 400% since the start of 2021. With Biden’s new economic policy outlined in the Inflation Reduction Act, there are strong financial incentives to move battery production back to North America.
If that’s going to happen the Salton Sea could very well become the lithium capital of North America, or to paraphrase Governor Gavin Newsom, the region could become the “Saudi Arabia of lithium,” and the players are already starting to assemble.
Currently, there are three companies attempting to set up plants in the Salton Sea for direct lithium extraction: EnergySource Minerals, Controlled Thermal Resources and BHE Renewables, a branch of Berkshire Hathaway. All three companies have similar business strategies from a high level, all of which involve geothermal power plants. These plants, which are common in many parts of the world, draw hot, salty water from deep in the ground to create steam which drives a turbine to produce electricity. What makes the Salton Sea so special is that its geothermal brines just happen to contain lithium.
In a 2017 study, researchers from the U.S. DOE Office of Energy Efficiency and Renewable Energy analyzed more than 2,000 samples of geothermal fluid from U.S. sources and found that only 1% had significant lithium concentration. This rare confluence of geothermal activity and lithium presence provides an opportunity for companies to generate electricity and mine lithium simultaneously.
Beyond their marriage of geothermal energy and lithium extraction, the three companies begin to diverge.
According to former dot.LA engagement editor Luis Gomez — whose newsletter Lithium Valle, is essential reading on this topic — EnergySource seems to be out in front early.
“They claim to have the technology that’s patented, they claim to have done the research, they claim to have the funding, and they claim they're ready to go and start production,” says Gomez. “They are kind of considered the canary in the coal mine.”
According to a report from the United States Department of Energy, EnergySource plans to eventually scale production up to over 20,000 metric tons of lithium hydroxide per year using its proprietary Integrated Lithium Adsorption Desorption technology.
Construction on the plant was slated to start earlier this year, but has been delayed. EnergySource has said publicly that lithium production might begin in the second quarter of 2024, but it’s unclear whether this date will also be pushed back. The company has a long history of operating in the region, having run the John L. Featherstone geothermal plant since 2012. The new venture into lithium would leverage that same plant, but without more details about how their proprietary technology works, there’s not much to do but wait and see.
One potential problem facing all three lithium extraction companies is that the Salton Sea geothermal brines are not the same as the brines in evaporation ponds similar to those in Argentina, Chile and Bolivia, where more than half of the world’s lithium is produced. Specifically, the deep geothermal brines in the Salton Sea contain more silica and transition elements, which may complicate the chemistry of purifying the lithium. Still, many researchers are extremely bullish on the prospect of tapping into these reserves. Alex Grant, The Principal at Jade Cove, a research organization focusing on direct lithium extraction technologies, says that much of the skepticism surrounding the technology can be attributed to competing financial interests that are trying to squash the nascent tech’s potential in favor of an established method.
Lithium Mines in the Atacama Salt Flats, Chile from an altitude of 15km via Google Earth. The facility is about 10km wide.
Google Earth
For its part, BHE Renewables, operating as CalEnergy, runs a fleet of 10 geothermal plants in the Imperial Valley. The company had previously announced its intent to set up a direct lithium extraction demonstration plant sometime before the end of 2022 to assess the viability of lithium extraction. If that pilot program goes well, the company could build a commercial-scale facility as early as 2026 with a projected annual capacity of 90,000 metric tons of lithium.
Obviously, having the backing of Berkshire Hathaway comes with advantages and capital. Add into the equation another $15 million in DoE grant money obtained last winter, and BHE appears to be well positioned as a major player in the long term.
Finally, there’s Controlled Thermal Resources. As the only company not already operating a geothermal business in the region, CTR is something of an outsider and dark horse. By 2024, the company hopes to build both a geothermal energy plant and a direct lithium extraction plant to operate in parallel, projecting a capacity to extract 300,000 metric tons of lithium carbonate equivalent annually by 2030. As dot.LA previously reported, Controlled Thermal Resources has partnered with Statevolt, a company that intends to build a $4 billion gigafactory nearby that will run on power from CTR’s geothermal plant and make batteries from the lithium it extracts. It’s a beautiful closed-loop business model. But again, all of this relies on the direct lithium extraction technology, and details are scant.
According to Gomez, despite the typically cut-throat nature of the energy industry, the relationship between the three upstarts in the Salton Sea is often surprisingly cooperative at the moment.
“They want the others to succeed because it kind of gives them the confidence that their technology is also eventually going to succeed,” he says. “It gives confidence to investors.”
Which is all to say, there may well be space for all three companies if the technology is as solid as they claim. If that’s the case, the Salton Sea and its surrounding region may have yet another miraculous transformation up its sleeve.
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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.
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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.
Employee By Day, Influencer By Night: The Rise Of Non-Professional Creators
08:00 AM | October 21, 2022
Photo by Patrick Tomasso on Unsplash
Anasofia Gomez spends her early mornings filming herself journaling, picking up coffee and getting ready for the day. By 9 a.m., she’s ready to start her full-time job as a social media marketer.
The Los Angeles-based creator is just one of the 53% of non-professional creators in the United States who maintain a full-time job while also creating monetized content. Colloquially speaking, Gomez is considered a micro-influencer—creators with followers that range from 1,000 to 100,000.
Gomez treats her content creation as a second job: she starts her day at 6 a.m. just to film her content, which often features her outfits and local recommendations, and ends her days at 11 p.m. by posting her daily video. This level of dedication has earned Gomez almost 38,000 TikTok followers and partnerships with brands like perfume company Dossier and FitOn—a fitness app.
Jon Davids, the CEO of influencer marketing company Influicity, says brands often partner with micro-influencers to create a larger volume of content. Similar to their partnerships with normal influencers, companies will send micro-influencers free products in exchange for a promotional video. Depending on the influencer, some companies will pay over $200 per video.
The difference, of course, is that since companies can pay micro-influencers less, they’ll get more content for their money. For example, he says a mega-influencer may charge $5,000 for one video, while companies can take that same budget and work with roughly 30 micro-influencers.
“You can get lots and lots and lots of content without paying massive amounts of money for it,” Davids says. “And, frankly, the supply is just there.”
But Gomez says the money is often inconsistent. A month-long deal can briefly boost her income, but that doesn’t guarantee a partnership for the upcoming months. The inconsistency isn’t without its benefits, however. Gomez says that since she doesn’t rely on these partnerships for income, she can be more particular about what companies she works with.
Gomez has even turned her micro-influencing, work-life balance into content. Her series documenting her attempts to make the most of her time outside of work has taken off. Gomez’s first video about her “promise to get off the couch and seize life” has over 10 thousand likes. As such, she’s since maintained a series of videos focused on how she uses her time outside of work.
In fact, the “5 to 9” trend, which features people showing off their detailed routines before and after work, often with homemade meals and elaborate skincare routines, can get creators thousands of views. Other micro-influencers highlight content specifically about their careers: lawyers translate legal jargon, nurses discuss their work hours and teachers share their classroom management strategies. Which is to say, for many non-professional creators, quitting their full-time job would likely alter their content and potentially alienate their audience.
To that end, Davids says, these niche communities, such as influencers who make content about engineering or waste management, are often where micro-influencers thrive.
“The micro-influencers that we have today really didn't exist five or six years ago,” Davids says. “People who had very, very small audiences on social weren’t doing it to have any kind of professional presence—they were just kind of creating content for their friends and family.”
Which is why, Davids adds, amateur content creators can actively engage their followers on a more personable level than many mega-influencers.
Nonetheless, Gomez has thought about pursuing content creation full-time. But, she finds that she enjoys the security her traditional job provides compared to the lack of financial consistency from her influencing endeavors.
“You just never know what the future is with social,” Gomez says. “I think you really do have to be in a really good place [financially] to be able to say, ‘I'm going to quit my job and just do content creation.’” Amen.
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Kristin Snyder
Kristin Snyder is dot.LA's 2022/23 Editorial Fellow. She previously interned with Tiger Oak Media and led the arts section for UCLA's Daily Bruin.
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