cd/entity/Gemini 3· home entities Gemini 3
grep -l @gemini 3 /news/*.json | wc -l → 11

Gemini 3

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// recent coverage 11 mentions

17:17
2026-06-25
letsdatascience.com
artificial-intelligence

German Court Finds Google Liable for AI Summaries

A German court ruled Google directly liable for false claims in AI-generated search summaries, granting an injunction to two publishers whose AI Overviews falsely linked them to scams. The court rejec…

13:00
2026-06-18
dev.to
large-language-models

Ninety-one percent accurate is not what it sounds like

An analysis by Oumi of Google's AI Overviews found that while accuracy improved from 85% on Gemini 2 to 91% on Gemini 3 on the SimpleQA benchmark, the rate of ungrounded claims among correct answers i…

15:22
2026-05-28
developers.googleblog.com
artificial-intelligence

How the community trained Gemma to "Think" with Tunix and TPUs

Google hosted a Kaggle hackathon challenging developers to train non-reasoning Gemma-2-2B and Gemma-3-1B models into general reasoning models using Tunix and Kaggle TPUs. Over 11,000 entrants and 300+…

02:55
2026-05-27
dev.to
ai-agents

Revisiting Benchmarking- Building a Rust A2A Agent

A developer built and benchmarked A2A protocol agents across Python, Go, Rust, and JavaScript, using the Antigravity CLI as an MCP client. The project measured the time each language spent running an …

07:20
2026-05-25
mayberay.bearblog.dev
ai-agents

I Ditched Google ADK for LangGraph

A developer abandoned Google's Agent Development Kit (ADK) in favor of LangGraph for building AI agents, citing the ADK's dense documentation, lack of clear looping examples, and excessive telemetry d…

18:52
2026-05-23
dev.to
artificial-intelligence

Gemma 4 Runs on a Raspberry Pi. Let That Sink In.

The article announces that Google DeepMind's Gemma 4 E2B model, released on April 2, 2026, can run on a Raspberry Pi 5 with 8 GB of RAM using only 1.5 GB of memory at INT4 quantization. This capabilit…

01:30
2026-05-19
simonwillison.net
large-language-models

The last six months in LLMs in five minutes

Key developments in large language models (LLMs) from November 2025 to May 2026, highlighting a critical inflection point where coding agents became reliably effective for daily use. During this perio…

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