Jiaming Song
Former Chief Scientist, Luma AI. On 1 show, 1 appearance. The Shows tab opens the full record on each.
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Jiaming Song is an artificial intelligence researcher best known as a co-creator of Denoising Diffusion Implicit Models (DDIM). He previously led foundation model research as Chief Scientist at Luma AI, directing work on systems including the Dream Machine video model.
1shows
1appearances
16statements
3resolved
2supported
0contradicted
67%fully supported
Everything Jiaming Song said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Song: Compute Scale Replaces Years of Explicit Graphics and Physics Engineering
“What's really surprising to me is how a large scale of compute is Mostly all you need to capture a lot of the, like, intricate effects that people spend years to develop in, like, graphics and, you know, physics simulation community”
Song: Dream Machine Learned Physical Simulation and Lighting Without 3D Priors
“But what's really surprising about Dream Machine is that we almost did nothing with regards to these NERF datasets or have zero, three D priors into how the model works. But the model just by itself learns to kind of uncover these interesting physical aspects …”
Song: Dream Machine Spontaneously Generates Consistent Cinematic Cuts Without Prompting
“Even though we haven't really asked the model to do anything about it, the model is able to reason about the second shot being a cut of the first shot that happens to have the same things in the first shot. So this is curse definitely some kind of a non-trivia…”
Song: Strict Physics Simulation Cannot Solve Fictional or Artistic Video Generation
“If we were trying to reason about the world via the traditional kind of physics techniques, it is very difficult to kind of reason about things inside a totally fictional world. So I think this is something that more happens like inside our dreams rather than …”
Song: Video AI Models Learn Psychological Causality Beyond Basic Physics
“And this is possibly caused by this eye being very unnaturally looking, and this is some kind of a cause and effect that is, like, even harder to reason, like, strictly in the physics, but more delving into how just human psychology works. So I think the causa…”
Song: AI Video Models Will Evolve Into 4D Multi-Angle World Simulators
“I don't think it's a much of a stretch to say maybe we can get from like videos to four D. So that's being able to do world simulators meaning, meaning that you might be able to simulate multiple angles at the same time.”
Song: 3D AI Models Face Severe Data Scalability Bottleneck Compared to 2D
“Three D data has this scalability issue, and you If you compare that with like images, everyone can, you know, use their cell phone to take a photo or, you know, take a video. Whereas if you try to do the same with three D is very difficult. You either have to…”
Song: 2D Image Models Cannot Reason About Camera Physics or Motion
“The limitations of images was that it wasn't able to reason about how You know, the camera works in the world because it only has like a relatively independent shots of different objects.”
Song: Video Models Unexpectedly Learn 3D Spatial Reasoning From Raw Video
“It turns out from these type of videos, we are able to show that a video model is able to reason about three D quite well, which in some sense is unexpected before in, in the community.”
Song: Dream Machine Video Outputs Enable Consistent 3D Scene Reconstruction
“For example, in this case, what we do is we literally took one of the videos from the last side and we put this video into our three D reconstruction pipeline. And it turns out that it is able to reconstruct a three D scene at this direction quite reasonably w…”
Song: Dream Machine Surpasses Multi-View Image Models in Detail and Resolution
“So I think that tells me that Dream Machine is definitely able to reason about better than any of the models that we've, you know, worked with before, and this is very much unlike, like, even the models that you try to obtain by fine-tuning on the, you know, l…”
Song: NeRF and Gaussian Splatting Suffer Major Real-World Capture Limitations
“When you try to develop, like, deploy these techniques in, in, in the wild, there are many issues that comes with this imperfect capture, like, capturing system that comes along. Like, people, when they're trying to capture an object, will oftentimes not captu…”
Song: Dream Machine Synthesizes 3D-Consistent Video From Single NeRF Frames
“We put the first frame of an image into Dream Machine, and then Dream Machine will give us the output as a video. So as you can see here, like, the three-d consistency of the generated video looks quite amazing”
Song: Dream Machine Simulates Complex Metallic Reflections From a Single Photo
“With Dream Machine, we just took another coffee machine that we have in the office, and then just do image to video, and we can actually see a lot of the light reflections On top of the metal surface of the coffee machine being simulated by the model.”
Song: Dream Machine Reasons About Artistic and Non-Physical Video Scenes
“So I think the other interesting thing that we showed a slightly earlier, but also want to kind of reemphasize here is how dream machine is able to reason about the non-physical world as well. Even in cases where it's in entirely a scene of art, it is able to,…”
Song: Current Text-to-Video AI Models Are Only at a Version Zero Stage
“Currently. No, we are only at a very, very you know, basic stage at, you know, being able to like generate videos from text and images at this stage. I will say this is more like a, as you said, research preview or version zero of the model.”
One line per show, most statements first. The link opens Jiaming's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 a16zLEDGER | Former Chief Scientist, Luma AI | 1 | 16 | 67% 2/3 | full record on the a16z Podcast → |