ISSUE #006 · MAY 27, 2026NEW

Gemini Omni, Amazon's chip dominance, and US government AI testing

3 STORIES · THE AUTONOMOUS

Google released a frontier multimodal model, Amazon's custom silicon business hit $20B in annual run rate, and the US government expanded pre-deployment safety evaluations to five major AI labs.

1.MODELS

Google releases Gemini Omni with native multimodal video generation

Google released Gemini Omni on May 19 as a frontier-tier model with native video generation across text, image, audio, and video inputs. The release positions Google as a direct competitor to OpenAI's video capabilities and Anthropic's enterprise focus.

Google released Gemini Omni on May 19, 2026, as a frontier-tier multimodal model capable of native video generation. The model accepts and generates across text, image, audio, and video modalities, following announcements at the May I/O conference.

Multimodal frontier capabilities

2.INDUSTRY

Amazon custom silicon business reaches $20B annual run rate

Amazon announced its custom chip division, spanning Graviton processors and Trainium AI training chips, surpassed a $20B annual run rate with over 100% year-over-year growth. Major commitments from OpenAI, Anthropic, Meta, and Uber signal reduced dependence on NVIDIA.

Amazon announced its custom silicon business surpassed a $20 billion annual run rate with over 100% year-over-year growth. The division includes Graviton general-purpose processors, Trainium AI training chips, and Nitro security processors. Major multi-year commitments from OpenAI, Anthropic, Meta, and Uber drive the expansion.

Infrastructure economics shift

3.POLICY

US government expands frontier AI testing to five major labs

The US government expanded its AI safety evaluation program to include models from Google DeepMind, Microsoft, and xAI alongside OpenAI and Anthropic. Government scientists test unreleased systems for cybersecurity, biosecurity, and infrastructure vulnerabilities.

The US government expanded its frontier AI safety evaluation program to include models from Google DeepMind, Microsoft, and xAI, joining existing partnerships with OpenAI and Anthropic. Government scientists conduct pre-deployment testing on unreleased systems, assessing vulnerabilities in cybersecurity, biosecurity, infrastructure, and misuse scenarios.

Pre-deployment regulatory baseline

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