LLMs & Texto

DiffusionGemma: 4x faster text generation

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI

Today, Google DeepMind released DiffusionGemma — an experimental open model built for exceptionally fast text generation. NVIDIA has optimized DiffusionGemma to run even faster across NVIDIA GeForce RTX GPUs, the NVIDIA RTX PRO platform and NVIDIA DGX Spark systems, from local PCs to the cloud. Rather than generating text one word at a time, DiffusionGemma generates multiple words in parallel to output whole blocks of text, opening a new, low-latency frontier for the kind of single-user worklo...

google/diffusiongemma-26B-A4B-it

Modelo de visão e linguagem em alta no Hugging Face — 874.4 mil downloads e 1.0 mil curtidas da comunidade.

PRC-linked influence operations are targeting AI debates in the US

A new report from OpenAI details PRC-linked influence operations using AI to target U.S. tech debates, data center narratives, tariffs, and false claims about ChatGPT.

Investing in multi-agent AI safety research

Google DeepMind and partners announce a $10M funding call for multi-agent safety research.

From data to decisions: how LSEG is scaling trusted AI

See how LSEG uses OpenAI to scale trusted AI across its global business, accelerating insights, shrinking release cycles, and empowering 4,000 employees.

Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills

Notes2Skills framework converts laboratory notes into verifiable skills for AI agents while maintaining author uncertainty levels, addressing gaps in scientific AI development.

unsloth/gemma-4-12b-it-GGUF

Modelo de visão e linguagem em alta no Hugging Face — 1.3 mi downloads e 681 curtidas da comunidade.

Fluid, natural voice translation with Gemini 3.5 Live Translate

Gemini 3.5 Live Translate brings near real-time, natural speech translation to Google AI Studio, Google Translate and Google Meet.

How engineers at Nextdoor use Codex to build without limits

How engineers at Nextdoor use Codex with GPT-5.5 to investigate hard-to-reproduce issues, build across platforms, and focus on product outcomes.

How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces

Learning to lead in a hybrid human-AI enterprise

As adoption of AI agents looks set to surge by as much as 300% in the next two years, leadership teams are carefully considering the implications of a hybrid human-AI workforce. Unlike existing enterprise-level automation that relies on manual input, AI agents are capable of autonomously coordinating complex tasks, interacting with multiple tools and environments across…