Generative AI

2039 articles found

Google Launches Gemini 3.5 Live Translate, Delivering Real-Time Speech Translation Across 70+ Languages

Google Launches Gemini 3.5 Live Translate, Delivering Real-Time Speech Translation Across 70+ Languages

Jun 10, 2026
Google

Google launches Gemini 3.5 Live Translate, a groundbreaking AI model delivering near real-time speech-to-speech translation across 70+ languages while preserving speakers' natural voice characteristics, now available to developers, enterprise users, and the public via Google Translate on Android and iOS.

Open-Source AI Search Agent Harness-1 Outperforms GPT-5.4 on Recall Benchmarks Despite Training on Fraction of Rival Data

Open-Source AI Search Agent Harness-1 Outperforms GPT-5.4 on Recall Benchmarks Despite Training on Fraction of Rival Data

Jun 09, 2026
Venturebeat

Researchers from UIUC, UC Berkeley, and Chroma unveil Harness-1, a 20-billion parameter open-source AI search agent that outperforms GPT-5.4 on recall benchmarks while training on a fraction of rival data, achieving 73% recall by offloading memory management to a structured external environment.

Open-Source AI Beats GPT-5.4 as Microsoft, Apple, and OpenAI Make Major Moves in Rapidly Shifting AI Landscape

Open-Source AI Beats GPT-5.4 as Microsoft, Apple, and OpenAI Make Major Moves in Rapidly Shifting AI Landscape

Jun 09, 2026
The AI Report

A new open-source AI agent called Harness-1 outperforms GPT-5.4 with 73% accuracy using minimal training data, while Microsoft launches its own MAI model family, Apple offers free cloud AI access to indie developers, and OpenAI confidentially files for an IPO at a staggering $852 billion valuation.

Claude Matches Specialized Chemistry Tools on NMR Tasks, Shifting AI Focus From Models to Workflows

Claude Matches Specialized Chemistry Tools on NMR Tasks, Shifting AI Focus From Models to Workflows

Jun 09, 2026
K-Dense Web

Anthropic's Claude, with zero chemistry-specific training, now rivals dedicated tools like ChemDraw on NMR prediction tasks, proving AI model capability is no longer science's bottleneck — the real frontier is building the workflow infrastructure that connects frontier models to real data, enabling reproducible, auditable scientific research.

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