cd/entity/Gemini· home entities Gemini
grep -l @gemini /news/*.json | wc -l → 2832

Gemini

Gemini is Google's family of multimodal large language models, succeeding LaMDA and PaLM. Gemini 1.5 Pro features a 1-million-token context window and integration with Google Search and Workspace.

mentions 2832 type Organization page 28/142 feed RSS
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// recent coverage 2832 mentions

11:00
2026-08-04
cio.com
artificial-intelligence

The enterprise AI strategy that outlasts any single model

Anthropic's Claude has become the enterprise favorite, surpassing OpenAI, according to a Forbes report, and Elon Musk has notably changed his stance on the rival. The most successful organizations wil…

10:00
2026-08-04
theverge.com
artificial-intelligence

Can Reddit fend off a new wave of AI SEO spam?

Reddit has become the most-cited domain by AI tools ChatGPT, Perplexity, and Google's Gemini and AI Mode, according to data from Semrush, an SEO company owned by Adobe. Subreddit moderators are catchi…

07:17
2026-08-04
github.com
artificial-intelligence

The frontier of GPQA-Dumb models

Ninjahawk released bongochat, a 125.8-million-parameter language model trained end to end with nanochat on a single RTX 5070 (12GB) GPU in about 2.5 hours with no cloud spend, and it ranks #1 on the G…

22:35
2026-08-03
pangram.com
artificial-intelligence

Pangram – AI Detector

Pangram, an AI detection company founded in Brooklyn, NY in 2023 by AI researchers from Tesla and Google, has launched Pangram 4, its most advanced model, which detects AI-generated content with 99.98…

21:09
2026-08-03
byteiota.com
ai-agents

WebMCP in Chrome 149: Make Your Website Agent-Ready Now

Google's WebMCP browser standard, co-authored with Microsoft and available in Chrome 149 since May, lets websites expose machine-readable tools to AI agents, with early benchmarks showing 8 to 12 time…

21:00
2026-08-03
optimaflo.io
artificial-intelligence

Connecting an LLM to Your Data Is the 21% Solution

Anthropic measured that without skills, Claude's ability to answer analytics questions accurately didn't exceed 21% on their evals, but with a structured stack including governed datasets and semantic…

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