Founder @daletlabs , previously @runwayml @pika_labs @Google @WeizmannScience
New York, NY
Joined March 2016
- Tweets395
- Following137
- Followers3.2K
- Likes8.5K
Pinned Tweet
Introducing Generative Commerce.
@daletlabs – at New York, NY
We’ve built at @daletlabs a framework for automatic media generation based on user interactions.
We generate content -> you interact with it -> we generate new content based on these signals.
This allows us to close a personalization loop, with content literally made for you.
We call it Collaborative Generation.
Learn more and request early access:
daletlabs.com/?launch=202610… – at New York, NY
Impressive zero shot capabilities, congrats @j0nathanj and team!
At NeurIPS until Friday! Happy to chat about model personalization, human-AI interaction, and startups :)
Update: I’ve recently left Runway to start a new company!
GenAI transformed how we create, but not how we experience what’s created. It’s time to rethink how we interact with intelligence.
We’ve just closed a seed round with amazing top-tier investors. If you’re excited building what comes next, let’s chat.
Grateful for my time in Runway, learned so much from @agermanidis @c_valenzuelab and the entire team!
Omer Bar Tal retweeted
Conway's Law of AI: AI models and AI products are constrained to produce outputs that reflect the organizational structure, incentives, worldview and culture of the companies that build them.
That why when you see a new model or AI product you kind of immediately tell who built it.
Being able to produce something this cinematic end-to-end on a laptop for the price of an Uber ride is insane
Omer Bar Tal retweeted
Runway Aleph is a new way to edit, transform and generate video. Its ability to perform a wide range of generalized tasks means it can reimagine ordinary footage in endless new ways. Allowing you to turn images and videos you already have into anything you want.
See below for a quick breakdown on how Aleph can effortlessly remove the subject from these scenes, just by asking it to.
I think one of the most important parts of working on foundation models is conviction. Once you truly believe something should work, it usually does.
A great example is text-to-video: the biggest insight (credit to Sora) was that simply training video models properly at scale makes them work. The best part? We’re just as convinced about the next leap
I found an internal presentation from 2018 that could've been made yesterday. This was by far the hardest time to build Runway. No one really cared about or believed in what generative models could do for art and media. We were describing a future that didn't make sense to anyone yet. Still, that was perhaps one of the most interesting times, because you had to build this internal conviction to keep working steadily and painfully toward making it happen. And in that process, when no one is watching, you learn the most about how to do everything.
