Everything Ashray Malhotra said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Malhotra: A significant number of future pixels will be generated, not recorded
“I believe most, okay, the most, but a significant number of pixels in the world in the future are going to be generated. And not actually recorded.”
Malhotra: Visual AI Models Still Await Their Revenue-Driven ChatGPT Moment
“I believe that the, you know, the chat GPT moment for the image, video, and three models is still to happen. You could make a claim that an image that is kind of happened, but no one's making billions of dollars in revenue on image models. The way people are m…”
Malhotra: Rephrase.ai's Synthetic Media Campaigns Never Failed, Unlike Competitors
“None of our campaigns went wrong, and I know many of our competitors have had that.”
Malhotra: Cadbury's AI Campaign Won India's First Cannes Titanium Lion
“I think India won its first ever cons like major cons awards in the, which are the equivalent of Oscars. Yeah. We won Titan lion.”
Malhotra: AI base technology is currently far ahead of the application layer
“It is a rare moment in history where your technology is so far ahead of the application layer that there is so much that we need to do here to catch up.”
Malhotra: Rephrase.ai Never Cloned Anyone Without Permission Beyond Early Demos
“And outside of a few demos like that, which we did in a very, very early days of our journey, we almost, like, as soon as the technology started to get good, we never cloned anyone without their permission.”
Malhotra: Consent is the key difference between hyper-real AI and deepfakes
“I think the largest difference that I think between both of them is that one is happening with consent and the other is happening without consent.”
Malhotra: AI Generated More Shah Rukh Khan Video Than His Film Career
“So in the Shah Rukh Khan campaign, just taking that one example, we created more minutes of video content of him than his entire film life put together. Right? In one month.”
Malhotra: Rephrase Built Five Shah Rukh Khan Avatars From Gibberish Footage
“So we ended up creating five different avatars of Shahrukh in five different parts of the studio and different lighting, different clothes, all of that. So Shahrukh actually had to speak like gibberish training content was 75 minutes because they needed 15 min…”
Malhotra: Most Celebrities Welcomed Synthetic Video to Connect With Fans
“There were like one or two celebs in the country who just, who absolutely denied using this technology purely because they wanted to like not be that accessible to their audience, which was, which we had actually expected to happen at a much, much larger scale…”
Malhotra: Engineering Parents Impose the IIT-to-IIM Path on Undirected Kids
“When you have engineering parents and you don't particularly have a strong direction, like that direction gets imposed on you, which is go to IIT, right, get a degree, then go to IIM, then get an MBA, and then get a job, right? Like that's a quintessential Ind…”
Malhotra: Earliest AI Video Synthesis Models Needed Over 20 Hours of Training Data
“The earliest models needed a lot of training data to be able to train. And Obama used to give a presidential speech every week. Which was put in public domain by the white house. So, and he gave that, I think for four to five years. So he basically had say, yo…”
Rephrase.ai reduced model training requirement to 30 minutes in 2020
“In the earliest days, we used to train on like many hours of footage of Obama. We then brought it down to something closer to 30 minutes that we saw. But again, we're talking about 20, 20.”
Rephrase.ai facial landmark detection failed on beards and glasses in 2020
“First was again, you needed to have lip Like points on your lips, et cetera. And like the landmark detector would fail if you had too many like beards and stuff and glasses.”
Malhotra: Heavy Facial VFX Causes Generative Video Algorithms to Fail
“Another thing that we realized was something that we had not planned for before is that our algorithm used to work on real world video shoots, but we realized that when you significantly do like VFX to the face it loses some of the harshness or like the real w…”