Artikel

Genie 4: A new generation of world simulation

Genie 4: our new world model unlocking unprecedented realism in real-time simulation.

DeepMind Blog · EN

Gemini 4 Carbon: Our next frontier model

Gemini 4 Carbon is our strongest model with state-of-the-art cybersecurity and long horizon capabilities.

DeepMind Blog · EN

Speeding up planning decisions with AI

Google DeepMind and UK government work together to reduce planning assessment times

DeepMind Blog · EN

Does Your Model Run on AWS Trainium? Look It Up

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face Blog · EN

Can we trust LLMs to judge whether a research idea is novel?

A Blog post by Ai2 on Hugging Face

Hugging Face Blog · EN

Build specialized multimodal models with LFM3

A Blog post by Liquid AI on Hugging Face

Hugging Face Blog · EN

Introducing AnySpeechRecognizer and AnyDecisionModel: Open Models for Speech and Decisions on Apple Platforms

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face Blog · EN

Welcome Le Chonk: Mistral Large 4 on Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face Blog · EN

Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face Blog · EN

Granite Switch 4.1.1 — Update models like you update software

A Blog post by IBM Granite on Hugging Face

Hugging Face Blog · EN

nemotron-halloween

A Blog post by NVIDIA on Hugging Face

Hugging Face Blog · EN

Architecting Governed, Self-Evolving AI Agents on Google Cloud

Learn how Project Chrysalis combines Google Cloud's Gemini Enterprise Agent Platform, Agent Development Kit (ADK), BigQuery, and a four-gate defense-in-depth security stack (Model Armor, Cloud KMS, Binary Authorization, and OPA) to build governed, self-evolving AI agents that remediate live production outages in 1.8 seconds.

Google Developers Blog · EN

Preview, edit, and collaborate on markdown (.md) files natively in Google Docs and Drive

Google Workspace now offers native support for Markdown (.md) files, allowing developers and AI agents to seamlessly collaborate on documentation directly in Google Docs without manual file conversions. This integration preserves native file fidelity for use with Git repositories and developer tools while unlocking standard Docs features like line-level commenting, rendered Drive previews, and tracked version history.

Google Developers Blog · EN

Building Conversational Commerce with Multi-Agent Swarms on GCP: A Working Prototype

This document provides a publication template and metadata structure for a technical blog post focused on building Conversational User Interfaces (CUIs) using AI. It outlines key developer focus areas, product stacks, and approval workflows required for publishing technical content through Google Developer Studio. The framework helps engineers organize their guides and solutions to effectively share AI-driven conversational interface designs with the developer community.

Google Developers Blog · EN

Fast, reliable A2UI, with swappable inference formats

A2UI now supports swappable inference formats, introducing A2UI Express which uses up to 3x fewer tokens and cuts latency by compiling compact Python-style syntax into standard A2UI JSON via Agent SDKs. Developers can also use controlled generation with TypeSafe's Jev system-decision models to render known-shape screens in under 300 ms while smaller models stream text. These updates require no changes to frontend renderers or component catalogs, offering flexible performance levers for generative UI development across Python, TypeScript, and Dart.

Google Developers Blog · EN

Hill-Climbing Agent Quality with Agents CLI Evaluation

This post walks through the Agents CLI evaluation loop for systematically improving agent performance through continuous testing and grading. It demonstrates how to catch prompt regressions, evaluate model backend swaps using side-by-side trace comparisons, and automate evaluation passes. Developers will also learn how to integrate nightly scheduled runs with threshold-based alerting to track quality over time.

Google Developers Blog · EN

Smaller apps and faster GPU inference with LiteRT in Google Play services

LiteRT in Google Play services now offers GPU inference powered by ML Drift, delivering about 1.4x faster performance alongside the new CompiledModel API. Switching from bundled binaries reduces app size by approximately 8 MB while enabling seamless, automatic runtime updates across billions of devices. Developers can easily adopt these updates by updating their dependencies and utilizing the new Android Studio LiteRT skill for automated migration.

Google Developers Blog · EN

Build Generative UI Apps with A2UI & CopilotKit Agents

See Google A2Ui in action! Learn how to natively render agentic UIs across Langchain, AWS Strands, Microsoft agents, and Google ADK using CopilotKit SDKs for A2UI.

Google Developers Blog · EN

DevFest is back!

DevFest 2026 runs from October 1 to December 31, bringing together nearly a million developers across more than 800 global events centered on the agentic AI era. Under the theme "Build, Secure, Scale," participants gain hands-on experience with Google’s developer stack—including Gemini, Google AI Studio, Google Antigravity, and Web MCP—through live workshops and codelabs. The conference focuses on enabling developers to prototype rapidly, ensure secure and private deployments, and leverage production-ready infrastructure.

Google Developers Blog · EN

Streamlining Security Investigations with Agents

Slack’s Security Engineering team is responsible for protecting Slack’s core infrastructure and services. Our security event ingestion pipeline handles billions of events per day from a diverse array of data sources. Reviewing alerts produced by our security detection system is our primary responsibility during on-call shifts. We’re going to show you how we’re using AI…

Slack Engineering · EN

How Slack Rebuilt Notifications 📣

Introduction 🔔 At Slack, notifications are how teams stay in the loop, but they can also become overwhelming when not designed with intention. Our goal was to make staying informed feel effortless. We set out to rebuild one of Slack’s most complicated systems from the ground up by bringing calm, consistency, and clarity to the…

Slack Engineering · EN

From Custom to Open: Scalable Network Probing and HTTP/3 Readiness with Prometheus

The Problem: Legacy Tooling and Its Limitations Currently, Slack utilizes a hybrid approach to network measurement, incorporating both internal (such as traffic between AWS Availability Zones) and external (monitoring traffic from the public internet into Slack’s infrastructure) solutions. These tools comprise a combination of commercial SaaS offerings and custom-built network testing solutions developed by our…

Slack Engineering · EN

Managing context in long-run agentic applications

Excerpt In complex, long-running agentic systems, maintaining alignment and coherent reasoning between agents requires careful design. In this second article of our series, we explore these challenges and the mechanisms we built to keep teams of agents working productively over long time spans. We present a range of complementary techniques that balance the conflicting requirements…

Slack Engineering · EN

From SSH to REST: A Security-Driven Modernization of Slack’s EMR Data Pipelines

Excerpt By 2024, Slack’s data platform had accumulated 700+ SSH-based operators orchestrating critical data pipelines. We’re talking daily search indexing that processed terabytes of data, analytics jobs powering business intelligence, the whole shebang. Every single one of these jobs required direct SSH access to production AWS Elastic MapReduce (EMR) clusters. We had a massive security…

Slack Engineering · EN