The Learning Perv: How I Learned to Stop Worrying and Love Lensa’s NSFW AI

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.

Drew Grant in Lensa AI art
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?

Drew Grant

Drew as a "male" preference

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.”

This Torrance Startup Just Raised $1B to Mass-Produce Hypersonic Missiles

🔦 Spotlight

Happy Friday, Los Angeles.

Castelion has spent the past four years trying to prove that hypersonic missiles do not need to take decades to develop or cost so much that the military can only afford a limited supply.

Now comes the harder part: producing them at scale.

The Torrance-based defense startup raised a $1B Series C at a $13B valuation. The financing includes $800M in equity and a $250M revolving credit facility, making it one of the largest recent raises for an LA defense technology company.

JPMorganChase’s Strategic Investment Group, Andreessen Horowitz and Carlyle co-led the round. Lightspeed Venture Partners, Lavrock Ventures, Altimeter, General Catalyst, T. Rowe Price and LA-based Interlagos Capital also participated.

Castelion will use the capital to ramp production of Blackbeard, its low-cost hypersonic strike missile, while developing a longer-range precision weapon and new defensive systems. Hundreds of millions of dollars will go toward expanding manufacturing at Project Ranger, the company’s 1,000-acre production campus in New Mexico.

Image Source: Castelion

Blackbeard was designed in California, will be built in New Mexico and is expected to enter service in 2027. Castelion says it has already secured more than $500M in U.S. military contracts over the past 18 months and moved the missile from a clean-sheet concept to an official program in fewer than four years.

That timeline is central to Castelion’s pitch. Traditional defense programs are often associated with long development cycles, limited production runs and eye-watering costs. Castelion is applying the rapid testing and vertically integrated manufacturing approach popularized by commercial space companies to weapons production.

But a $13B valuation changes the standard. Castelion is no longer being judged as a promising startup with an impressive prototype. It is being funded like a company expected to become a major part of the American defense industrial base.

The question is no longer whether a startup can build a hypersonic missile. It is whether one can manufacture thousands of them without losing the speed, discipline and cost advantages that made it disruptive in the first place.

For LA’s defense ecosystem, that shift matters. The region has become home to a growing number of companies promising to modernize how America builds critical hardware. Castelion now has the capital, contracts and facilities to show what happens when that promise reaches the factory floor.

The next test will not be in a pitch deck. It will be in production.

More from this week’s LA startup and venture scene below.

🤝 Venture Deals

    LA Companies

    • Long Beach based Ampaire raised a $19M Series B led by DiamondStream Partners, with strategic participation from Alaska Star Ventures and IAGi Ventures, bringing its total funding to $68M. The hybrid-electric aviation company will use the capital to expand flight operations, produce additional Eco Caravan aircraft, advance regulatory certification and scale its manufacturing capabilities. - learn more

    LA Venture Funds
    • SUM Ventures participated in AssistMe’s €6.5M funding round, which was led by CRB Health Tech and Vorwerk Ventures and included several returning investors. The German care technology company will use the capital to expand across Europe, prepare for a U.S. launch and further develop alea, its digital platform for supporting caregivers and improving nursing-home operations. - learn more
    • CIV led Hypercubic’s $5.3M seed round, with participation from Y Combinator, Afore Capital, Pioneer Fund, Multimodal Ventures and several angel investors. The San Francisco startup will use the capital to develop AI agents that can analyze, document and rewrite decades-old COBOL systems, helping enterprises modernize critical mainframe software faster and with less risk. - learn more
    • Plus Capital participated in Wispr Flow’s $280M Series B, led by Menlo Ventures and joined by existing and new investors, valuing the AI voice company at $2B. The funding brings Wispr’s total capital raised to $361M and will support its expansion beyond dictation into meeting tools and proprietary speech technology, including its new Canto model. - learn more
    • Alexandria Venture Investments participated in Leal Therapeutics’ $30M Series A extension alongside new investor Eli Lilly and returning backers including OrbiMed, Newpath Partners and SV Health Investors’ Dementia Discovery Fund. The biotech company will use the funding to advance clinical trials of LTX-001 for schizophrenia and LTX-002 for ALS, with initial schizophrenia trial data expected by year-end. - learn more
    • BroadLight Capital participated in Higgsfield’s $400M Series B, led by DST Global and joined by investors including Goldman Sachs Alternatives, Smash Capital, Fifth Wall and Intel Capital. The AI video and image platform, now valued at $5.4B with $700M in annualized revenue, will use the funding for R&D, global infrastructure, AI hiring and international expansion. - learn more

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      Why Samsonite Just Paid $178.5M for BÉIS

      🔦 Spotlight

      Hello, Hello.

      This week, one of LA’s most recognizable consumer brands packed its biggest bag yet.

      Samsonite Group has agreed to acquire an 85% stake in BÉIS for $178.5M, valuing the Los Angeles-based travel and lifestyle brand at approximately $210M. The deal is expected to close in Q4, pending regulatory approval.

      Founded by actress and entrepreneur Shay Mitchell and incubated by LA-based Beach House Group in 2018, BÉIS has grown from a digitally native luggage startup into a profitable business that generated approximately $210M in sales last year. Along the way, it built the kind of fiercely loyal online following that legacy brands spend years and considerable marketing budgets trying to manufacture.

      Image Source: BÉIS

      That may be the most interesting part of this deal. Samsonite is not simply acquiring another luggage line. It is buying access to a younger, predominantly female customer base, a sophisticated direct-to-consumer operation and a brand that knows how to turn social media attention into actual sales. The suitcases are useful; the cultural relevance is the real carry-on.

      BÉIS will continue operating as a standalone brand under CEO Adeela Hussain Johnson and its existing management team. Mitchell will retain a 15% ownership stake and continue guiding the company’s creative and product vision, while Samsonite brings the global distribution, sourcing and logistics infrastructure needed to take the brand further.

      For LA’s startup community, the acquisition is another reminder that valuable technology companies do not always look like software companies. BÉIS built its advantage through digital distribution, community and an unusually sharp understanding of its customer. Now, one of the world’s largest luggage companies wants what it created.

      Sometimes the strongest exit starts with knowing exactly what people want to pack.

      More from this week’s LA startup and venture scene below.

      🤝 Venture Deals

        LA Companies

        • Heaviside Industries raised a $60M Series B to accelerate the development and production of its autonomous precision munitions for U.S. and allied forces. The company also announced a strategic partnership with defense manufacturer Nammo, combining Heaviside’s autonomous weapons technology with Nammo’s expertise in propulsion, warheads and large-scale munitions production. - learn more
        • Alex Cooper and Matt Kaplan’s media company Unwell received its first outside investment from WTSL, giving the profitable business a $500M pre-money valuation. Unwell, which reaches a reported 70M women each month through podcasts, film and television, live events, consumer products and a creative agency, will use the capital to pursue acquisitions, make investments and expand into new business lines. - learn more
        • Neros raised a $250M Series C at a $2.5B valuation, with participation from LA-based Interlagos, MANTIS Venture Capital and Thiel Capital. The El Segundo defense startup will use the funding to scale its autonomous strike and interceptor drone programs, expand production and strengthen its domestic supply chain as demand grows from the U.S. military and allied forces. - learn more
        • FriskAI raised $3.6M from MaC Venture Capital to expand its observability and security platform for AI agents. The startup helps companies monitor what autonomous agents do in real time, giving teams greater visibility into agent behavior and helping them identify errors, risks and unexpected actions. - learn more
        • Diald raised $1M in follow-on funding led by Feedback Ventures, bringing its total funding to $4.75M. The company also launched a rebuilt conversational AI platform that lets commercial real estate investors create pro formas and evaluate zoning, permits, neighborhood sentiment and other property risks through plain-language prompts. - learn more

        LA Venture Funds
        • Alexandria Venture Investments participated in Khartis Therapeutics’ $50M Series B, led by Forge Life Science Partners, bringing the San Diego biotech’s total funding to $95M. Khartis will use the capital to advance its lead oral treatment for thyroid eye disease and expand its pipeline of small-molecule immunology drugs. - learn more
        • Finality Capital Partners co-led Entravel Group’s $7.5M funding round alongside Ethereal Ventures, with participation from GSR, Varrock, G1 Ventures, Seier Capital, Veris Ventures, Funfair Ventures and WTG Ventures. The traveltech company will use the capital to expand its white-label hotel-booking infrastructure beyond crypto platforms and develop a stablecoin-powered system for settlement, treasury and working-capital financing. - learn more
        • Regeneration.VC participated in Clarity Systems’ $4.4M seed round, led by LMnT Ventures and joined by Humba Ventures and Massive Technology Ventures. Clarity uses X-ray imaging, computer vision and AI to detect counterfeits, product swaps and other forms of returns fraud in seconds without opening the package. - learn more
        • CIV participated in AGent Energy’s $11M Series Seed round alongside existing investor Zero Infinity Partners, with Spero Ventures and MassMutual Ventures co-leading and Intrepid Investment Management also joining. The Houston startup uses AI-powered hardware and software to turn largely idle backup generators into on-demand grid capacity during emergencies, and the new funding brings its total raised to $17M. - learn more
        • Smash Capital co-led CodeRabbit’s $143M Series C alongside Atomico, valuing the AI code-review company at $1.5B. CodeRabbit will use the funding to expand internationally and develop its new Agentic Change Management platform, which helps companies review, govern and monitor software created by both humans and AI agents. - learn more
        • Multiball Capital backed Soctera’s $4M seed round alongside Anorak Ventures, with additional participation from 9Yards Capital, Mana Ventures and Red Bear Ventures. The Cornell spinout will use the funding to develop heat-efficient power amplifiers designed to improve the range, signal quality and reliability of radar, electronic warfare, satellite and telecommunications systems. - learn more
        • WndrCo participated in Genera’s $10M seed round, which was led by First Round Capital and also included BoxGroup, Carpenter Capital and Success Venture Partners. Genera will use the funding to scale its AI platform, which automates the often labor-intensive process of deploying enterprise software, including customer discovery, data migration and system configuration. - learn more
        • M13 co-led Baselayer’s $20M Series A alongside Koro Capital, bringing the fintech startup’s total funding to approximately $47M. Baselayer will use the capital to enhance its AI-powered platform, which helps banks, fintech companies and government agencies automate business verification, risk assessment and fraud monitoring. - learn more

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          Two LA Startups Raised $2.37B to Build What AI Needs

          🔦 Spotlight

          Happy Friday, LA.

          The largest checks in tech are increasingly going toward companies trying to build their way out of America’s biggest physical constraints.

          This week, two Los Angeles startups raised a combined $2.37 billion in equity to tackle two particularly urgent ones: how the country manufactures critical hardware and where it will find enough electricity to power the AI era.

          Torrance-based Hadrian is building highly automated factories for defense and aerospace. El Segundo’s Valar Atomics wants to manufacture nuclear reactors at scale. Different industries, same underlying bet: the next generation of technology will depend on our ability to produce physical infrastructure much faster than we do today.

          Hadrian raised $1.37 billion in Series D funding, bringing its valuation to $7.87 billion. The company plans to use the capital to open new factories, expand research and development, and increase its capacity to produce critical defense, aerospace and industrial systems.

          Hadrian’s pitch is straightforward, if wildly ambitious: America needs to relearn how to build things and build them quickly.

          Its factories combine skilled workers with AI, robotics and proprietary software to manufacture precision components and, increasingly, complete mission-critical systems. Its customers include defense giants such as Lockheed Martin and RTX, along with newer players like Anduril.

          The company has come a long way from simply making aerospace parts. Hadrian is positioning itself as a piece of America’s industrial infrastructure, offering manufacturers a way to rapidly scale domestic production at a time when wars abroad, strained supply chains and growing defense demands have made the country’s manufacturing gaps increasingly difficult to ignore.

          Investors are clearly buying the argument. The new round comes just over a year after Hadrian raised $260 million, suggesting that “reindustrialization” has officially graduated from venture capital buzzword to billion-dollar investment thesis.

          Meanwhile, roughly 15 miles away in El Segundo, Valar Atomics is moving even faster than its enormous ambitions suggested.

          When we last wrote about Valar, the company was reportedly raising $450 million at a $2 billion valuation and racing to prove that nuclear energy could move on AI’s timetable. Now, it has closed a $1 billion Series B led by Sequoia Capital, secured an additional $200 million credit facility and reportedly reached a $6 billion valuation.

          Valar is developing standardized, factory-built nuclear power plants designed to avoid the enormous costs and decades-long construction timelines associated with traditional nuclear projects. Its goal is not merely to build a working reactor, but to eventually manufacture fleets of them.

          That ambition also sounds considerably less theoretical than it did when we first covered the company. In June, Valar’s Ward 250 reactor achieved a self-sustaining nuclear reaction. Just one week later, the company demonstrated the reactor generating electricity to power an Nvidia Blackwell system. Valar now says the new funding will help it move from proving its technology works to producing reactors at scale.

          The timing is no coincidence. AI’s enormous appetite for electricity is forcing the tech industry to confront a basic reality: the cloud still has to plug into something. Training models and operating massive data centers will require far more reliable power, and nuclear energy is rapidly becoming one of Silicon Valley’s favorite answers.

          Hadrian and Valar may be solving different problems, but their unusually large rounds point to the same shift. AI can design, predict and automate, but it cannot manufacture a missile component or generate a megawatt of electricity on its own. That requires factories, energy systems, supply chains and a great deal of capital.

          For years, venture-backed companies competed to build the software layer. Now, some of the biggest bets are being placed on the infrastructure underneath it.

          The future may run on AI. But first, someone has to build what keeps it running.

          More from this week’s LA startup and venture scene below.

          🤝 Venture Deals

            LA Companies

            • Endeavor Optical Networks emerged from stealth with $10.75M in seed funding from General Catalyst and Andreessen Horowitz to develop a satellite network that uses lasers to move data between continents. The startup plans to use the capital to build an optics lab, hire engineers and conduct ground testing ahead of a demonstration satellite launch targeted for late 2027. - learn more
            • Actualyze AI emerged from stealth with a $7M seed round backed by Storm Ventures, Canaan Partners, Morado Ventures and AME Cloud Ventures. Its platform gives enterprises a central control layer for managing AI usage across teams and applications, helping them enforce security policies, track spending, route requests between models and maintain audit trails. - learn more
            • Blaze.tech raised $8.5M in pre-seed funding led by Friale, a healthcare-focused venture firm founded by the family behind HCA Healthcare. The company helps digital health startups, providers and payers turn AI-generated prototypes into HIPAA-compliant software for uses including e-prescribing, EHR integrations, telehealth and auditing. - learn more

            LA Venture Funds
            • Canon Capital participated in Oligo Security’s $60M funding round alongside Ballistic Ventures, Greenfield Partners, Lightspeed Venture Partners, Red Dot Capital Partners, TLV Partners and other investors, bringing the cybersecurity company’s total funding to $140M. Oligo will use the capital to accelerate product development and expand its global go-to-market operations as it helps organizations detect and block software exploits in real time. - learn more
            • Matter Venture Partners participated in Volta’s seed and Series A financing alongside Azora, Andreessen Horowitz, Altimeter, NVIDIA and Michael Dell’s family office, valuing the AI infrastructure startup at $2.4B. Emerging from stealth, Volta plans to use the backing to develop and operate large-scale AI data centers, supported by a $5B infrastructure financing program with Azora and a $10B European compute partnership. - learn more
            • Cedars-Sinai participated in Cirrus Therapeutics’ expanded seed financing through its Intellectual Property Company, bringing the ocular immunology biotech’s total funding to $14.7M. Cirrus will use the backing to advance its gene and cell therapy pipeline, including a lead treatment for geographic atrophy, while a new collaboration with Singapore Eye Research Institute and Duke-NUS will support research, clinical development and expansion across Asia-Pacific. - learn more
            • Strong Ventures made a follow-on investment in Ready Robust Machine’s ₩13.4B Series B, which was led by Quantum Ventures Korea and brought the heavy-equipment technology company’s total funding to ₩22.9B. The company develops energy-recovery systems for hydraulic machinery and will use the capital to build out mass production, expand its data services and enter the Japanese market. - learn more

            LA Exits

            • Artium has been acquired by global consulting firm AlixPartners, bringing its expertise in building enterprise-grade AI agents for clients including BNY Mellon, Mayo Clinic and eBay to a broader global platform. The company will continue operating as a distinct team under the name Artium by AlixPartners, retaining its founders, employees, methodology and research relationships. - learn more

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