Google Expands Collaboration with Anthropic to Boost AI Safety
Google and Anthropic Partnership Expansion
Google recently unveiled an expanded partnership with Anthropic, with the mutual goal of striving for the highest standards of AI safety.
Longstanding Collaboration
- The collaboration between Google and Anthropic goes back to the establishment of Anthropic in 2021.
- The two companies have closely collaborated, with Anthropic building one of the largest Google Kubernetes Engine (GKE) clusters in the industry.
- Their collaboration is focused on developing AI responsibly and deploying it in a way that benefits society.
Technological Integration
Anthropic is utilizing a variety of Google’s cutting-edge technologies and services to advance its operations:
| Google Technology | Application at Anthropic |
|---|---|
| AlloyDB | Fully managed PostgreSQL-compatible database for handling transactional data with high performance. |
| BigQuery data warehouse | Used by Anthropic to analyse vast datasets and extract valuable insights for operations. |
| Cloud TPU v5e chips | Anthropic plans to leverage Google’s latest generation Cloud TPU v5e chips for AI inference to scale its powerful Claude large language model. |
Initiatives and Participations
- Both companies participated in the inaugural AI Safety Summit (AISS) at Bletchley Park.
- Collaborative efforts with the Frontier Model Forum and MLCommons focused on developing robust measures for AI safety.
Enhanced Security
As part of the expanded partnership, Anthropic is now utilizing Google Cloud’s security services to enhance security for organisations deploying Anthropic’s models.
Quotes
“Anthropic and Google Cloud share the same values when it comes to developing AI–it needs to be done in both a bold and responsible way.”
“This expanded partnership with Anthropic – built on years of working together – will bring AI to more people safely and securely,” commented Thomas Kurian, CEO of Google Cloud.
Future Prospects
Google and Anthropic’s expanded partnership promises to be a critical step in advancing AI safety standards and fostering responsible development.
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