Categories: FAANG

Frontier risk and preparedness

To support the safety of highly-capable AI systems, we are developing our approach to catastrophic risk preparedness, including building a Preparedness team and launching a challenge.
AI Generated Robotic Content

Recent Posts

Statistical Methods for Evaluating LLM Performance

The large language model (LLM) has become a cornerstone of many AI applications.

7 hours ago

Getting started with computer use in Amazon Bedrock Agents

Computer use is a breakthrough capability from Anthropic that allows foundation models (FMs) to visually…

8 hours ago

OpenAI’s strategic gambit: The Agents SDK and why it changes everything for enterprise AI

OpenAI's new API and Agents SDK consolidate a previously fragmented complex ecosystem into a unified,…

8 hours ago

Under Trump, AI Scientists Are Told to Remove ‘Ideological Bias’ From Powerful Models

A directive from the National Institute of Standards and Technology eliminates mention of “AI safety”…

8 hours ago

Exploring Prediction Targets in Masked Pre-Training for Speech Foundation Models

Speech foundation models, such as HuBERT and its variants, are pre-trained on large amounts of…

1 day ago

How GoDaddy built a category generation system at scale with batch inference for Amazon Bedrock

This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team…

1 day ago