Jonathan Ho
All AI mindsJonathan Ho, full AI read
Jonathan Ho, Research Scientist, Google DeepMind (United States), ranks #93/520 on the AI Advancement Index (77.7). Known for Denoising Diffusion Probabilistic Models (DDPM), classifier-free guidance, Imagen, video diffusion models. Strongest on Research influence (90.0, Leading).
Dimension read
| Dimension | Value | Standing | What a high vs low value means, and where Jonathan Ho sits |
|---|---|---|---|
| AAI AI Advancement (AAI) | 77.7 | Strong · #91/520 | High here, among the very top minds advancing AI. ▲ high: among the very top minds advancing AI · ▼ low: lower relative influence within this elite set |
| Research influence Research influence | 90.0 | Leading · #15/520 | High here, field-defining research contributions. ▲ high: field-defining research contributions · ▼ low: limited direct research influence |
| Frontier role Frontier role | 80.0 | Strong · #81/520 | High here, central to building today's frontier AI. ▲ high: central to building today's frontier AI · ▼ low: removed from frontier development |
| Thought leadership Thought leadership | 66.0 | Moderate · #232/520 | Mid-pack. High would mean shapes how the field and public think about AI; low would mean limited public/field influence. ▲ high: shapes how the field and public think about AI · ▼ low: limited public/field influence |
| Field-building Field-building | 68.0 | Moderate · #273/520 | Mid-pack. High would mean builds the field, mentorship, institutions, tools, community; low would mean limited field-building footprint. ▲ high: builds the field, mentorship, institutions, tools, community · ▼ low: limited field-building footprint |
| Momentum Momentum | 80.0 | Moderate · #193/520 | Mid-pack. High would mean driving AI's advancement right now; low would mean less active at the current frontier. ▲ high: driving AI's advancement right now · ▼ low: less active at the current frontier |
Strengths
- Research influence (90.0, Leading), field-defining research contributions.
- Frontier role (80.0, Strong), central to building today's frontier AI.
Risk factors
- A foundational researcher whose work much of the field is built on.
AI worldview
Ideas & positions
Jonathan Ho is known for his work on generative models, particularly denoising diffusion probabilistic models (DDPM) and classifier-free guidance. His research has significantly advanced the field of image and video generation, with notable contributions such as the Imagen model. While he has not extensively commented on broader AI policy issues, his technical work suggests a focus on improving the quality and efficiency of generative models. He has not publicly taken a stance on existential risk, open vs closed models, or regulation.
What shapes the view
Ho's views are shaped by his deep technical expertise in machine learning and his experience at Google DeepMind. His work reflects a commitment to advancing the state-of-the-art in generative models, which has practical applications in areas like content creation and data augmentation. There is limited public information on his broader political or economic views, but his focus on technical innovation suggests a belief in the positive potential of AI.
The AI-powered future they see
Ho's public predictions and promotions center around the advancements in generative models, particularly in creating more realistic and high-quality images and videos. He envisions a future where these models can be used in various industries, from entertainment to scientific research, enhancing creativity and productivity. However, he has not publicly discussed potential risks or downsides of these technologies.