Latest news with #Lensa
Time of India
18-07-2025
- Entertainment
- Time of India
S Line: Watch episode 3 online today; check the release date & streaming platforms for these countries
S Line Episode 3 online: Fans of the hit K-drama S Line can stream Episode 3 online today, July 18, 2025, at approximately 12:30 PM IST, as per the official schedule. A mysterious red line appears above people's heads, connecting them to everyone they've had sexual relations with. At the center of this strange phenomenon is Han Ji Uk, a detective determined to uncover its truth. Alongside him are Lee Gyu Jin, an eccentric high school teacher, and Sin Hyeon Hop, a student who has been able to see the red line since birth. Together, their paths intertwine as they delve deeper into the mystery. S Line: Release date and time for Episode 3 Episode 3 airs on Friday, July 18, 2025, in South Korea and will go live around 11:00 PM KST, which means viewers in other time zones can expect the release at approximately 8:00 AM GMT in the UK and 12:30 PM IST in India on the same day. It will also be available for international viewers via simultaneous streaming on Wavve and Daily Motion offering English subtitles to make the series accessible to a global audience. Where to Watch S Line Episode 3 Online? Episode 3 is available to stream on Wavve, the main legal platforms offering high-quality video and English subtitles. For viewers in the U.S., Canada, India, Indonesia, and the UK, Wavve and Daily Motion continue to be the top choices for watching the series. S Line: Plot highlights of Episode 3 The first two episodes, the show introduced the main characters - Han Ji-uk, Lee Gyoo-jin, Shin Hyun-heup, and Seon-a - against the backdrop of a chilling murder linked to the mysterious red lines. While detective Han Ji-uk and teacher Lee Gyoo-jin are unable to see these lines, Seon-a gains that ability after discovering a strange pair of glasses. To her shock, the glasses reveal an overwhelming number of red lines above her uncle's head and among students at school. As Seon-a investigates further, she uncovers disturbing truths - one teacher is having an affair with a student, and the red lines even indicate how many times they've been intimate. Believing she's the only one who can see the lines, Seon-a is startled when Shin Hyun-heup confronts her in the bathroom, revealing that she, too, can see them and warning Seon-a that the "Lensa" glasses are dangerous. By the end of Episode 2, Seon-a meets with the teacher she had blackmailed over his affair, demanding 20 million won in exchange for keeping the secret. Unable to come up with the money, the teacher begs her to delete the evidence and give him more time. Before Seon-a can respond, he receives a message from his wife - she's seen the incriminating photo. In a rage, the teacher pushes Seon-a off the rooftop. As she lies dying in a pool of blood, Hyun-heup arrives at the scene - too late to save her, but just in time to see the devastating consequences of what she warned: the Lensa had claimed a life. Episode 3 promises more romantic tension and palace drama. And, this will continue to explore the clash between fiction and fate. S Line episode 3: Spoilers Here are the spoilers for Episode 3 of the Korean series S Line based on the YouTube preview: The upcoming Episode 3 is set to showcase heightened intensity, deeper character development, and more twists. Kang Seon-ah's fate hangs in the balance following her fatal fall from the school rooftop - a chilling event that concluded Episode 2 with a dramatic cliffhanger. Her red line vanishes upon her death, raising questions and amplifying the supernatural tension at the heart of the series. Detective Han Ji-uk, is shaken by the news of Seon-ah's death, which is initially ruled a suicide - until a potential suspect enters the picture. At the same time, teacher Lee Gyoo-jin grows increasingly suspicious, convinced that Seon-ah did not end her own life. His doubts add another layer of complexity to the case, especially as the truth behind the red lines begins to unravel further. Han Ji-uk also makes a disturbing discovery: a wall in his own home covered with red lines, hinting at a deeply personal connection to the mysterious phenomenon and the ongoing murder investigations. Meanwhile, Shin Hyun-heup, born with the ability to see the red lines, is expected to become more active in her pursuit of justice, especially after her warning to Seon-ah went unheeded. Adding to the intrigue, one of the school's teachers now possesses Seon-ah's special glasses - devices that grant the ability to see the red lines. With this power in potentially dangerous hands, a new scandal may erupt, one filled with betrayal and heartbreak. As suggested from the very first episode, the ability to see the red lines has rarely brought anything but trouble. S Line: Cast and Characters The latest Korean thriller S-Line features a unique and gripping premise, brought to life by a stellar cast that includes Lee Soo-hyuk, Lee Da-hee, and Arin in standout roles. FAQs 1. When will Episode 3 of S Line be released? Answer: S Line Episode 3 will be released on July 18, 2025, and will air oat 7:30 AM IST. 2. Where can I watch Episode 3 of S Line online? Answer: S Line Episode 3 will be available for streaming on Wavve and Daily Motion, the platform offering English subtitles. 3. Does S Line have English subtitles? Answer: Yes, S Line is fully subtitled in English on Wavve and Daily Motion, including Episode 3. 4. What is the plot of Episode 3 of S Line? Answer: S Line Episode 3 continues to explore the eerie power of the red lines in exposing hidden secrets, intimate connections, and buried crimes. 5. Is S Line available on Netflix, Viki or Viu? Answer: No, S Line is not available on Netflix, Viki or Viu as of now. The drama officially streams on Wavve and on Daily Motion days later.
Forbes
27-05-2025
- Business
- Forbes
The Hiring Process In The Era Of AI—Here's What You Need To Know
Gergo Vari is the CEO at Lensa, Inc. Passionate advocate for recruiting and human resources technology that puts people first. getty Imagine you're a software engineer with 15 years of experience. You've applied to 100 jobs without getting a single response. Why the radio silence? The problem isn't a lack of skills—it's that AI systems are rejecting your résumé before humans ever see it. I witness this every day in my work in hiring technology. The machines are making decisions about your future, but they're not always making the right ones. This scenario plays out on both sides of the hiring process, and it's time to fix it. I experienced the problem firsthand after graduating. My applications disappeared into the void despite my qualifications. My résumé contained the right skills but missed the terminology that AI screening systems scan for. Learning how these systems worked transformed my approach and results. This experience gives me perspective from both sides of the hiring equation. Let me share what I've learned about making AI an ally rather than an obstacle in the hiring process. Most companies today use applicant tracking systems (ATS) to scan résumés. These AI tools filter out applications before a human sees them. A candidate I worked with last month had led major projects at Google, but his résumé used "Project Lead" instead of "Project Manager." Unfortunately, the AI missed the connection. What's the solution? For Job Seekers: Avoid keyword stuffing. Instead, carefully study the job description. Match terminology precisely—when they say "project manager," use "project manager." Keep formatting clean and simple—fancy graphics and columns often confuse AI systems. For Hiring Teams: Your ATS likely enforces overly rigid requirements. Create synonym clusters for important job skills and titles in your system. When "Project Lead" and "Project Manager" represent equivalent skills, configure your system to recognize both. Regularly audit which applications get filtered out to check for concerning patterns. Many qualified candidates get missed because of terminology differences rather than skill gaps. Modern AI tools can generate cover letters quickly. Hiring managers have grown adept at spotting AI-generated text, and some companies now automatically flag suspiciously polished applications. Here's how to solve this: For Job Seekers: Consider AI as a starting point for structure, then incorporate your personal experiences. Include challenges and solutions from your career. AI won't know how you turned around a failing project or solved a team conflict. For Hiring Teams: Train your reviewers to look beyond surfaces. Some candidates use AI tools to overcome language barriers or organizational challenges before adding personal details. Focus on whether the application contains specific examples demonstrating relevant skills. Application questions requiring personal insights often reveal which candidates bring genuine experience versus AI-generated responses. Job seekers often waste hours daily searching job boards, missing opportunities because companies use different titles for essentially the same role. AI-powered job platforms can decode the skills behind various titles. How to solve? For Job Seekers: These platforms analyze your work history to suggest roles you might never discover otherwise. Your experience managing remote teams could qualify you for positions labeled "distributed workforce coordinator"—a title few would actively search for. For Hiring Teams: Evaluate your job titles and descriptions through the lens of searchability. Do you use industry-standard terminology that qualified candidates search for? Focus requirements on core capabilities rather than credentials that AI might apply as absolute filters. Exceptional candidates often come from adjacent fields with transferable skills that conventional keyword matching overlooks. Beyond résumé screening, AI now conducts interviews. Many companies use AI to evaluate video interviews, analyzing everything from word choice to facial expressions. My advice: For Job Seekers: Focus on clear, structured responses. A technique that consistently works well: Describe the situation, explain what needs to be done, detail your specific contribution and share measurable results. Practice speaking confidently without filler words—AI systems react more negatively to hesitation than human interviewers. For Hiring Teams: Provide transparency about how AI evaluates interviews. Remember that these systems struggle with cultural differences in communication styles and may penalize candidates with speech patterns outside their training data. Always have human reviewers validate AI assessments, particularly for candidates with strong qualifications but lower AI scores. AI tools routinely reject candidates with employment gaps, nontraditional career paths or industry transitions. Talented professionals get screened out for taking time off for family responsibilities or career changes. For Job Seekers: You can work around these limitations. Consider a scenario where a job seeker has a two-year gap after caring for a sick parent. By highlighting relevant volunteer work and skills development during that period and framing the experience in machine-readable terms, previously closed doors can open. For Hiring Teams: Regularly audit your AI systems for bias in screening decisions. Examine who gets rejected—are candidates with unusual career paths filtered out disproportionately? Implement override protocols that flag potentially valuable candidates with unconventional backgrounds for human review. Consider a random sampling process where some rejected applications still receive human evaluation. The future of hiring lies in the partnership between humans and machines. Understanding AI helps both sides connect more effectively. But we should never forget that hiring is about human potential, which algorithms can never fully measure. Your experience, skills and potential are real. As a job seeker, don't let an algorithm tell you otherwise. Learn to work with these systems, but work around them when needed. The right opportunity is out there—sometimes you just need to help the machines understand why you're perfect for it. As a hiring manager, remember that your company's next great hire might be someone your AI nearly filtered out. Make sure you've built systems that help you find talent, not just eliminate applications. The most successful organizations will be those that find the right balance: using machines to process information while relying on human insight to spot potential that algorithms miss. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
15-05-2025
- Business
- Yahoo
Doji raises $14M to make virtual try-ons fun through AI avatars
For years, big tech companies like Amazon and Google have been trying to make virtual try-ons engaging to encourage consumers to shop more online. Startups also tried to solve for inspiration and fit in fashion using AI. A new startup called Doji is now entering this space with an app designed to make apparel try-ons both fun and social. It does so by creating your avatar and then serving you different looks that may inspire you to buy new clothes. So far, early adopters have been impressed by it. Only days after publicly launching on the App Store, the company is announcing a $14 million seed round led by Thrive Capital with participation from Seven Seven Six Ventures. The funding will be used to improve Doji's AI models, the company says. An app like Doji only exists thanks to recent advancements in AI. The company uses its own diffusion models to create its personalized avatars and to make clothing try-ons more realistic. @doji_com The startup was founded last year by Dorian Dargan and Jim Winkens — hence the name Doji (Dorian + Jim). Dargan previously worked at Apple on VisionOS and at Meta on games and experiences on Oculus Quest. Winkens was a researcher at DeepMind and also worked on a generative AI-based consumer product at Google. The duo connected on Twitter/X around 2022. After realizing a shared interest in the fashion world, they began exploring side projects to work on together. Later, when the controversial avatar creation app Lensa was released, Dargan saw how deep a connection people had with their avatars. "Lensa was doing stylized avatars with different themes," Dargan told TechCrunch. "We saw Lensa and thought, what if we could do this for fashion, but in a photo-realistic way?" Thrive Capital partner Miles Grimshaw said he's been captivated by Doji's app since the first time he used it. He notes that diffusion models create an opportunity to build a "virtual mirror" to try on clothes. "Going around the web to hundreds of click links to shop is laborious. Doji has an opportunity to make shopping fun as it puts me at the center of the experience. The app also has a social aspect of making me want to share different looks [with friends and family]," he added. Doji, which is still in invite-only mode, guides users through the process of taking six selfies and uploading two full-body images to create an avatar. The app takes roughly 30 minutes to create an avatar, then notifies you when the avatar is ready. You can also choose your favorite brands during onboarding to see more items from them in the app. Other apps like Google-backed lock screen app Glance have tried to create AI-powered shopping inspiration flow by using a single image. However, Doji opted for a more in-depth setup process to create higher-quality avatars and better match users with the right clothes. By default, the app shows you clothes that might suit you through a series of looks with your avatar. You can scroll through the different tops and bottoms listed on the site and tap on them to create a new look for your avatar. Plus, you can post a link to apparel from the web to check if it would suit you. In tests, I felt that some of the images of the avatar made me look thinner or taller than I am. (Doji notes that users have the option of retraining the avatar through a new set of images if they don't like their results.) While the app lets you try on different clothes to see how certain apparel would look on you, it can't yet tell you how an item would fit. That's something the startup wants to tackle later, we're told. The team is also working to make the virtual try-on process faster and integrate the buying process in the app, instead of directing users to external sites. The startup, whose app is available in more than 80 countries, didn't specify when it will remove the invite system to allow everyone to use the app. Dargan said that what sets them apart from other try-on apps is that Doji also offers a fun way to explore clothes. Plus, he believes Doji is better at human representation than others, thanks to his experience designing avatars over the years. "I think people who have explored this idea before either haven't had the technology chops to make it good or the taste to understand what actually makes a person feel good about an image of themselves," Dargan said. "We have invested a lot in core technology to ensure the way you perceive yourself through images is interesting and inspiring." This article originally appeared on TechCrunch at Sign in to access your portfolio
TechCrunch
15-05-2025
- Business
- TechCrunch
Doji raises $14M to make virtual try-ons fun through AI avatars
For years, big tech companies like Amazon and Google have been trying to make virtual try-ons engaging to encourage consumers to shop more online. Startups also tried to solve for inspiration and fit in fashion using AI. A new startup called Doji is now entering this space with an app designed to make apparel try-ons both fun and social. It does so by creating your avatar and then serving you different looks that may inspire you to buy new clothes. So far, early adopters have been impressed by it. Only days after publicly launching on the App Store, the company is announcing a $14 million seed round led by Thrive Capital with participation from Seven Seven Six Ventures. The funding will be used to improve Doji's AI models, the company says. An app like Doji only exists thanks to recent advancements in AI. The company uses its own diffusion models to create its personalized avatars and to make clothing try-ons more realistic. @doji_com Try it on. Try Doji. Download the app to secure your spot, or find a friend with an invite. [Link in bio] Creative direction: Gui Boucher Editing: Noel Oppliger, Khaidar Styling: Jeanette Reza Music: Jake Nadrich Thanks: Tony Wang, Gaia Del Santo, Dena Yago ♬ original sound – doji_com The startup was founded last year by Dorian Dargan and Jim Winkens — hence the name Doji (Dorian + Jim). Techcrunch event Join us at TechCrunch Sessions: AI Secure your spot for our leading AI industry event with speakers from OpenAI, Anthropic, and Cohere. For a limited time, tickets are just $292 for an entire day of expert talks, workshops, and potent networking. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you've built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | REGISTER NOW Dargan previously worked at Apple on VisionOS and at Meta on games and experiences on Oculus Quest. Winkens was a researcher at DeepMind and also worked on a generative AI-based consumer product at Google. The duo connected on Twitter/X around 2022. After realizing a shared interest in the fashion world, they began exploring side projects to work on together. Later, when the controversial avatar creation app Lensa was released, Dargan saw how deep a connection people had with their avatars. 'Lensa was doing stylized avatars with different themes,' Dargan told TechCrunch. 'We saw Lensa and thought, what if we could do this for fashion, but in a photo-realistic way?' Thrive Capital partner Miles Grimshaw said he's been captivated by Doji's app since the first time he used it. He notes that diffusion models create an opportunity to build a 'virtual mirror' to try on clothes. 'Going around the web to hundreds of click links to shop is laborious. Doji has an opportunity to make shopping fun as it puts me at the center of the experience. The app also has a social aspect of making me want to share different looks [with friends and family],' he added. Image Credits: Doji What it's like to use Doji's app Doji, which is still in invite-only mode, guides users through the process of taking six selfies and uploading two full-body images to create an avatar. The app takes roughly 30 minutes to create an avatar, then notifies you when the avatar is ready. You can also choose your favorite brands during onboarding to see more items from them in the app. Other apps like Google-backed lock screen app Glance have tried to create AI-powered shopping inspiration flow by using a single image. However, Doji opted for a more in-depth setup process to create higher-quality avatars and better match users with the right clothes. By default, the app shows you clothes that might suit you through a series of looks with your avatar. You can scroll through the different tops and bottoms listed on the site and tap on them to create a new look for your avatar. Plus, you can post a link to an apparel from the web to check if it would suit you. These two look like different versions of me. Image Credits: Ivan Mehta In tests, I felt that some of the images of the avatar made me look thinner or taller than I am. (Doji notes that users have the option of retraining the avatar through a new set of images if they don't like their results.) While the app lets you try on different clothes to see how certain apparel would look on you, it can't yet tell you how an item would fit. That's something the startup wants to tackle later, we're told. The team is also working to make the virtual try-on process faster and integrate the buying process in the app, instead of directing users to external sites. The startup, whose app is available in more than 80 countries, didn't specify when it will remove the invite system to allow everyone to use the app. Dargan said that what sets them apart from other try-on apps is that Doji also offers a fun way to explore clothes. Plus, he believes Doji is better at human representation than others, thanks to his experience designing avatars over the years. 'I think people who have explored this idea before either haven't had the technology chops to make it good or the taste to understand what actually makes a person feel good about an image of themselves,' Dargan said. 'We have invested a lot in core technology to ensure the way you perceive yourself through images is interesting and inspiring.'
TechCrunch
15-05-2025
- Business
- TechCrunch
Doji raises $14M to make virtual try-ons fun through your avatars
For years, big tech companies like Amazon and Google have been trying to make virtual try-ons engaging to encourage consumers to shop more online. Startups also tried to solve for inspiration and fit in fashion using AI. A new startup called Doji is now entering this space with an app designed to make apparel try-ons both fun and social. It does so by creating your avatar and then serving you different looks that may inspire you to buy new clothes. So far, early adopters have been impressed by it. Only days after publicly launching on the App Store, the company is announcing a $14 million seed round led by Thrive Capital with participation from Seven Seven Six Ventures. The funding will be used to improve Doji's AI models, the company says. An app like Doji only exists thanks to recent advancements in AI. The company uses its own diffusion models to create its personalized avatars and to make clothing try-ons more realistic. @doji_com Try it on. Try Doji. Download the app to secure your spot, or find a friend with an invite. [Link in bio] Creative direction: Gui Boucher Editing: Noel Oppliger, Khaidar Styling: Jeanette Reza Music: Jake Nadrich Thanks: Tony Wang, Gaia Del Santo, Dena Yago ♬ original sound – doji_com The startup was founded last year by Dorian Dargan and Jim Winkens — hence the name Doji (Dorian + Jim). Techcrunch event Join us at TechCrunch Sessions: AI Secure your spot for our leading AI industry event with speakers from OpenAI, Anthropic, and Cohere. For a limited time, tickets are just $292 for an entire day of expert talks, workshops, and potent networking. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you've built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | REGISTER NOW Dargan previously worked at Apple on VisionOS and at Meta on games and experiences on Oculus Quest. Winkens was a researcher at DeepMind and also worked on a generative AI-based consumer product at Google. The duo connected on Twitter/X around 2022. After realizing a shared interest in the fashion world, they began exploring side projects to work on together. Later, when the controversial avatar creation app Lensa was released, Dargan saw how deep a connection people had with their avatars. 'Lensa was doing stylized avatars with different themes,' Dargan told TechCrunch. 'We saw Lensa and thought, what if we could do this for fashion, but in a photo-realistic way?' Thrive Capital partner Miles Grimshaw said he's been captivated by Doji's app since the first time he used it. He notes that diffusion models create an opportunity to build a 'virtual mirror' to try on clothes. 'Going around the web to hundreds of click links to shop is laborious. Doji has an opportunity to make shopping fun as it puts me at the center of the experience. The app also has a social aspect of making me want to share different looks [with friends and family],' he added. Image Credits: Doji What it's like to use Doji's app Doji, which is still in invite-only mode, guides users through the process of taking six selfies and uploading two full-body images to create an avatar. The app takes roughly 30 minutes to create an avatar, then notifies you when the avatar is ready. You can also choose your favorite brands during onboarding to see more items from them in the app. Other apps like Google-backed lock screen app Glance have tried to create AI-powered shopping inspiration flow by using a single image. However, Doji opted for a more in-depth setup process to create higher-quality avatars and better match users with the right clothes. By default, the app shows you clothes that might suit you through a series of looks with your avatar. You can scroll through the different tops and bottoms listed on the site and tap on them to create a new look for your avatar. Plus, you can post a link to an apparel from the web to check if it would suit you. These two look like different versions of me. Image Credits: Ivan Mehta In tests, I felt that some of the images of the avatar made me look thinner or taller than I am. (Doji notes that users have the option of retraining the avatar through a new set of images if they don't like their results.) While the app lets you try on different clothes to see how certain apparel would look on you, it can't yet tell you how an item would fit. That's something the startup wants to tackle later, we're told. The team is also working to make the virtual try-on process faster and integrate the buying process in the app, instead of directing users to external sites. The startup, whose app is available in more than 80 countries, didn't specify when it will remove the invite system to allow everyone to use the app. Dargan said that what sets them apart from other try-on apps is that Doji also offers a fun way to explore clothes. Plus, he believes Doji is better at human representation than others, thanks to his experience designing avatars over the years. 'I think people who have explored this idea before either haven't had the technology chops to make it good or the taste to understand what actually makes a person feel good about an image of themselves,' Dargan said. 'We have invested a lot in core technology to ensure the way you perceive yourself through images is interesting and inspiring.'
