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Latest developments

Google Research Moves Federated Learning Into TEEs: Gboard Now Trains With Externally Verifiable Differential Privacy MarkTechPost · 2 weeks ago · 9

Google announces Gemini 3.5 Transcribe for AI-powered speech-to-text Ars Technica · 1 month ago · 9

Intelligent transcription with Gemini 3.5 Transcribe Google · 1 month ago · 37

Putting sign language AI into users’ hands Google DeepMind · 2 months ago · 6

Google debuts SL2T, an AI model that’s designed to understand sign language SiliconANGLE · 2 months ago · 39

Timeline

Month Quarter Year

2026

Google Research announced a TEE-based federated learning system that enables third parties to verify and audit differential privacy and training logic while limiting operator access Feature update

Google releases Gemini 3.5 Transcribe, a new speech-to-text model for live and non-streaming transcription Model release

Google DeepMind releases SL2T, a multilingual sign-language-to-text AI model for consumer devices Model release

Relationships

Products & technology

SL2T integrated with this tool · 2 sources
Integrated with Rambler · 1 source
Deploys English next-word prediction · 1 source
Google Research deploys this tool · 1 source

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TLDRocket 19 October 2026

Agentic AI is leaving the lab and heading straight into the messy parts of work—then running into the equally messy parts of security. Atlassian’s “Agentic Multiplayer Protocol” is built around attribution, showing agent contributions in document history so accountability stays with the user, not “the AI did it.” That governance impulse is echoed elsewhere as teams try to treat agents like managed services instead of novelty software: Pax8’s 8os lets IT partners govern multiple vendors’ agents with per-customer separation and hard usage caps, while Motive Technologies pushes fleet automation from passive alerts to autonomous actions, pitching faster ROI through fewer preventable operational problems. Even property management is getting the agent layer, with Vessla aiming to coordinate leasing and building operations while keeping human approval for judgment calls.

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