Jared Kaplan
All peopleJared Kaplan, full AI read
Jared Kaplan, Co-founder & Chief Science Officer, Anthropic (United States), ranks #267/500 on the Power & Influence Index (50.1). Greatest lever: AI power (82.0, Leading). Entrenchment 72/100; net worth $1bn.
Dimension read
| Dimension | Value | Standing | What a high vs low value means, and where Jared Kaplan sits |
|---|---|---|---|
| PII Power & Influence (PII) | 50.1 | Moderate · #267/635 | Mid-pack. High would mean near the apex of civilizational influence; low would mean lower relative influence within this elite set. ▲ high: near the apex of civilizational influence · ▼ low: lower relative influence within this elite set |
| Economic power Economic power | 52.0 | Developing · #415/635 | Low here, limited economic control. ▲ high: controls vast wealth and companies · ▼ low: limited economic control |
| Political power Political power | 25.0 | Lagging · #575/635 | Low here, little formal political power. ▲ high: commands states, law or policy · ▼ low: little formal political power |
| AI power AI power | 82.0 | Leading · #26/635 | High here, shapes or controls the trajectory of AI. ▲ high: shapes or controls the trajectory of AI · ▼ low: limited sway over AI's direction |
| Platform reach Platform reach | 48.0 | Moderate · #367/635 | Mid-pack. High would mean commands a vast audience or network; low would mean limited direct reach. ▲ high: commands a vast audience or network · ▼ low: limited direct reach |
| Institutional control Institutional control | 65.0 | Moderate · #366/635 | Mid-pack. High would mean controls pivotal institutions and capital; low would mean limited institutional control. ▲ high: controls pivotal institutions and capital · ▼ low: limited institutional control |
| Entrenchment / tenure Entrenchment / tenure | 72.0 | Strong · #163/635 | High here, power is locked in (indefinite or controlling stake). ▲ high: power is locked in (indefinite or controlling stake) · ▼ low: power is contingent, term-limited or contestable |
Strengths
- AI power (82.0, Leading), shapes or controls the trajectory of AI.
- Entrenchment / tenure (72.0, Strong), power is locked in (indefinite or controlling stake).
Risk factors
- Significant but balanced influence with no single dominant lever.
AI worldview
Ideas & positions
Jared Kaplan is a leading figure in the field of AI research, particularly known for his work on scaling laws and the development of large language models. He co-founded Anthropic with the goal of creating AI systems that are aligned with human values and can be used to solve complex problems. Kaplan has emphasized the importance of transparency and collaboration in AI research, advocating for a balance between open-source models and proprietary systems. He has also been vocal about the need for robust safety measures and ethical guidelines in the development and deployment of AI technologies. Kaplan's research and public statements suggest a cautious optimism about the potential of AI, while acknowledging the significant challenges and risks associated with its rapid advancement.
What shapes the view
Kaplan's views on AI are shaped by his background in theoretical physics and his experience in both academia and industry. His work at Stanford and Microsoft Research, followed by his co-founding of Anthropic, reflects a commitment to advancing the scientific understanding of AI while ensuring that it is developed responsibly. Kaplan's emphasis on alignment and safety is influenced by his belief in the importance of interdisciplinary collaboration and the need for a nuanced approach to regulation and governance of AI technologies.
The AI-powered future they see
Kaplan envisions a future where AI plays a crucial role in addressing global challenges such as climate change, healthcare, and scientific discovery. He predicts that the development of more advanced and aligned AI systems will lead to significant improvements in these areas, provided that the necessary safety and ethical frameworks are in place. Kaplan also warns about the potential for AI to exacerbate existing inequalities and calls for proactive measures to ensure that the benefits of AI are widely shared.