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Runway ML

Runway ML

Artificial intelligence companywww.runwayml.com

Search complete. 188 mentions across 68 episodes found for "Runway ML".

Oct 29, 2026

LeahHOST
10:38
Third, the competitive landscape is widening.
LeahHOST
10:41
Runway's Solaris, which generates dynamic interface worlds frame by frame, alongside Meta's interactive world simulation framework built for wearable AI hardware, proves this is becoming a multi-lab race.
LeahHOST
10:56
Every major AI lab is now constructing some version of a synthetic environment that reacts dynamically to human or agent input.
LeahHOST
11:06
The platform that successfully pushes stable simulation consistency beyond the two-minute mark at production fidelity, will effectively establish the technical standard that enterprise vendors must adopt.
Aydin SenkutGUEST
45:24
then it was seed and A.
Aydin SenkutGUEST
45:25
And we still do majority seed and A, but there are other situations where like good examples of like SubaBase and Runway, we did like what looked like a growth round, but it's really like was a seed or early A.
Aydin SenkutGUEST
45:35
Like they had hardly any traction.
Aydin SenkutGUEST
45:37
It was a crazy valuation, which is another hot topic I know.
PhilipHOST
2:35
Plus, time waits for no man, and so while Anthropic were cooking...
PhilipHOST
2:39
Hey Jen and Runway were also in the kitchen, stirring up AIs you can Zoom chat with and create movie scenes alongside.
PhilipHOST
2:49
Most of this stuff, of course, has only been out a day or at most two, but here are my first impressions.
PhilipHOST
2:56
And the first TLDR I'll give is Don't Sleep on the new Claude 3.5 Sonnet.

24 MINS LATER

PhilipHOST
26:51
Whether that's misalignment or massively amusing on your perspective.
PhilipHOST
26:56
But it must be said that Claude isn't the only thing that was dropped yesterday.
PhilipHOST
27:00
Here's Act 1 from Runway ML.
PhilipHOST
27:04
While this particular development and the other two I'm about to show you might not completely blow off your socks, they do point to the unrelenting improvement in AI-generated entertainment that's coming.
PhilipHOST
12:08
As we've seen with BrainLM and O1 the full capabilities of transformers are still being discovered and they represent a three-quarters market share.
PhilipHOST
12:17
Next highlight is a quick one on copyright and we all know probably that OpenAI transcribed millions of hours of YouTube videos to power its whisper model.
PhilipHOST
12:27
Did you know that RunwayML and Nvidia also mass scraped YouTube? But I thought some of you might be interested in the fact that people are trying to create business models now, like Calliope Networks, so that creators can sell their YouTube videos to be scraped, basically get paid for what's already happening for free.
PhilipHOST
12:43
I know there are plenty of YouTube creators who wouldn't mind a tiny slice of that $100 billion in revenue that OpenAI are projecting.
PhilipHOST
12:51
However, we probably should bear in mind Mark Zuckerberg's words, which are that creators and publishers overestimate the value of their work for training AI.
PhilipHOST
20:10
If even OpenAI don't know how much further scaling can go, how can we know? I'm gonna end though on a lighter note because not everything in AI is about text-based benchmarks and reasoning.
PhilipHOST
20:22
According to the well-known co-founder and CEO of Runway, OpenAI is planning to finally release Sora in around two weeks.
PhilipHOST
20:31
Sora is of course that incredible video generation model first described back in February.
PhilipHOST
20:37
So even if you're one of those, unlike me, who believes that reasoning progress will ground to a whole, that doesn't mean progress in other modalities will too.
PhilipHOST
21:09
you never know when OpenAI or Google are gonna drop a model that massively changes and affects your business.
PhilipHOST
21:15
It's not just Sora whacking Pika Labs, Runway ML, and maybe Midjourney.
PhilipHOST
21:20
If you make the chips that OpenAI uses, they want to make them instead.
PhilipHOST
21:24
I'm gonna be doing a separate video about all of that.
AminHOST
12:25
And finally, App Studio.
AminHOST
12:27
This is Runway's no-code builder for custom image and video apps.
AminHOST
12:31
You don't need to write a single line of code to launch a functional media app.
LeahHOST
12:34
So as we wrap up today's deep dive, I want to circle back to a concept from earlier to leave you with something to chew on.
Erik BernhardssonGUEST
23:49
yeah we have some incredibly cool customers like cognition is using us a large scale for uh both for inference and sandboxes to do a lot of reinforcement learning on modal these sandboxes for all the rollouts uh we have customers like ramp using us for background agents for the internal coding agent that they actually launched as a It's a standalone product today that they're selling.
Erik BernhardssonGUEST
24:08
We have customers like Suno and Runway that uses regenerative video and audio.
Erik BernhardssonGUEST
24:12
Dekagon is another customer that uses us for a lot of customer support stuff, voice and text.
Erik BernhardssonGUEST
24:17
DoorDash uses us for a bunch of internal applications, mostly LMs, but also all kinds of other stuff.
HackerNoon AINARRATOR
1:08
Models do disappear, and not always for bad reasons.
HackerNoon AINARRATOR
1:12
In August 2024, Runway removed its stable Diffusion 1.5 repository from Hugging Face.
HackerNoon AINARRATOR
1:19
The most widely used open image model of its time lost its official home, and the community carried on from Mirrors.
HackerNoon AINARRATOR
1:25
In September 2026, Hugging Face disabled a modified GLM5.3 repository that was labeled as built for offensive cyber work, citing its content policy.
Erik BernhardssonGUEST
0:11
Yeah, so we build, the easiest way to put it is we build AI infrastructure.
Erik BernhardssonGUEST
0:15
So we offer a bunch of compute, a compute platform and a storage platform that enables a lot of customers like Decagon and Suno and Runway and Cognition and many others.
Erik BernhardssonGUEST
0:27
to essentially build AI applications.
Erik BernhardssonGUEST
0:29
So what that means in practice is a lot of inference, a lot of sandboxes, sometimes training and fine-tuning, sometimes batch jobs and other things.

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