Live
Bring state-of-the-art agentic skills to the edge with Gemma 4Supporting Google Account username change in your appDeveloper’s Guide to Building ADK Agents with SkillsADK Go 1.0 Arrives!Boost Training Goodput: How Continuous Checkpointing Optimizes Reliability in Orbax and Ma...Announcing ADK for Java 1.0.0: Building the Future of AI Agents in JavaClosing the knowledge gap with agent skillsJump to play: Building with Gemini & MediaPipeBuild a smart financial assistant with LlamaParse and Gemini 3.1Developer’s Guide to AI Agent ProtocolsAnnouncing the Colab MCP Server: Connect Any AI Agent to Google ColabPlan mode is now available in Gemini CLIIntroducing Finish Changes and Outlines, now available in Gemini Code Assist extensions on...Unleash Your Development Superpowers: Refining the Core Coding ExperienceIntroducing Wednesday Build HourWhat's new in TensorFlow 2.21You can't stream the energy: A developer's guide to Google Cloud Next '26 in VegasHow we built the Google I/O 2026 Save the Date experienceSupercharge your AI agents: The New ADK Integrations EcosystemOn-Device Function Calling in Google AI Edge GalleryTorchTPU: Running PyTorch Natively on TPUs at Google ScaleGet ready for Google I/O: Livestream schedule revealedNew enhancements for merchant initiated transactions with the Google Pay APIBuild Better AI Agents: 5 Developer Tips from the Agent Bake-OffBuilding with Gemini Embedding 2: Agentic multimodal RAG and beyondProduction-Ready AI Agents: 5 Lessons from Refactoring a MonolithSubagents have arrived in Gemini CLIBuild Long-running AI agents that pause, resume, and never lose context with ADKMaxText Expands Post-Training Capabilities: Introducing SFT and RL on Single-Host TPUsAgents CLI in Agent Platform: create to production in one CLIBring state-of-the-art agentic skills to the edge with Gemma 4Supporting Google Account username change in your appDeveloper’s Guide to Building ADK Agents with SkillsADK Go 1.0 Arrives!Boost Training Goodput: How Continuous Checkpointing Optimizes Reliability in Orbax and Ma...Announcing ADK for Java 1.0.0: Building the Future of AI Agents in JavaClosing the knowledge gap with agent skillsJump to play: Building with Gemini & MediaPipeBuild a smart financial assistant with LlamaParse and Gemini 3.1Developer’s Guide to AI Agent ProtocolsAnnouncing the Colab MCP Server: Connect Any AI Agent to Google ColabPlan mode is now available in Gemini CLIIntroducing Finish Changes and Outlines, now available in Gemini Code Assist extensions on...Unleash Your Development Superpowers: Refining the Core Coding ExperienceIntroducing Wednesday Build HourWhat's new in TensorFlow 2.21You can't stream the energy: A developer's guide to Google Cloud Next '26 in VegasHow we built the Google I/O 2026 Save the Date experienceSupercharge your AI agents: The New ADK Integrations EcosystemOn-Device Function Calling in Google AI Edge GalleryTorchTPU: Running PyTorch Natively on TPUs at Google ScaleGet ready for Google I/O: Livestream schedule revealedNew enhancements for merchant initiated transactions with the Google Pay APIBuild Better AI Agents: 5 Developer Tips from the Agent Bake-OffBuilding with Gemini Embedding 2: Agentic multimodal RAG and beyondProduction-Ready AI Agents: 5 Lessons from Refactoring a MonolithSubagents have arrived in Gemini CLIBuild Long-running AI agents that pause, resume, and never lose context with ADKMaxText Expands Post-Training Capabilities: Introducing SFT and RL on Single-Host TPUsAgents CLI in Agent Platform: create to production in one CLI

KI Force — Die deutsche KI-Wissensreferenz

18 Anbieter · 123+ Quellen · 45112+ Artikel

★ Aktuell Alle News →

Bring state-of-the-art agentic skills to the edge with Gemma 4

Google DeepMind has launched Gemma 4, a family of state-of-the-art open models designed to enable multi-step planning and autonomous agentic workflows directly on-device. The release includes the Google AI Edge Gallery for experimenting with "Agent Skills" and the LiteRT-LM libra...

Neueste Artikel Mehr ansehen →
• developers

ADK Go 1.0 Arrives!

The launch of Agent Development Kit (ADK) for Go 1.0 marks a significant shift from experimental AI scripts to productio...

▶ Tages-Digest — 14. Juni 2026 63 Artikel, 5 relevant
KI-Tagesüberblick 2026-06-14

### Highlights

1. US-Regierung erzwingt Abschaltung von Anthropic-Modellen — Die US-Regierung hat [Anthropic angewiesen, den weltweiten Zugang zu Fable 5 und Mythos 5 zu sperren](https://the-decoder.de/auf-anweisung-der-us-regierung-anthropic-sperrt-fable-5-und-mythos-5-weltweit/). Laut [Wall Street Journal](https://www.wsj.com/tech/ai/amazon-ceos-talks-with-u-s-officials-triggered-crackdown-on-anthropic-models-dcc90578) waren Gespräche zwischen Amazon-CEO und US-Behörden ausschlaggebend. Anthropic widerspricht öffentlich und nennt die identifizierten Schwachstellen geringfügig.

2. Claude Fable 5 setzt neue Bestmarke in Mathematik — [Anthropics Fable 5 erreicht 88% Genauigkeit](https://the-decoder.de/anthropic-setzt-mit-fable-5-neue-bestmarke-im-mathematik-benchmark-frontiermath/) auf der schwierigsten Stufe des FrontierMath-Benchmarks — ein massiver Sprung vom Vorgänger Opus 4.5 (unter 10%). OpenAIs GPT-5.5 kommt auf derselben Stufe auf etwa 75%.

3. Kimi K2.7 Code: Günstiges Open-Source-Coding-Modell — [Moonshot AI veröffentlicht Kimi K2.7 Code](https://the-decoder.de/kimi-k2-7-code-neues-offenes-modell-will-mit-kampfpreisen-gegen-openai-und-anthropic-punkten/) mit einer Billion Parametern. Das auf Programmierung spezialisierte Modell kostet 0,95 statt 5,00 Dollar pro Million Input-Token, liegt aber noch hinter GPT-5.5 und Claude Opus 4.8 in Coding-Benchmarks.

4. Microsoft trainiert KI-Agenten ohne Gewichtsänderung — [Microsoft-Forscher stellen SkillOpt vor](https://the-decoder.de/microsoft-forscher-trainieren-ki-agenten-wie-neuronale-netze-ohne-gewichte-zu-aendern/), eine Methode zum Training von KI-Agenten, die Handlungsanleitungen nach dem Vorbild neuronaler Netze optimiert, ohne deren Gewichte zu verändern.

### Forschung

- Claude als Chemiker — [Anthropic zeigt Forschung](https://www.anthropic.com/research/making-claude-a-chemist) zur Spezialisierung von Claude-Modellen auf chemische Fragestellungen.

### Business & Politik

Die Sperrung der Anthropic-Modelle markiert einen Wendepunkt in der US-KI-Regulierung. [Politico berichtet](https://www.politico.com/news/2026/06/13/inside-the-whirlwind-24-hours-that-led-the-white-house-to-slap-export-controls-on-anthropic-00961519) über die 24-Stunden-Abfolge, die zur Exportkontrolle führte. Die Entscheidung wird von Tech-Beobachtern als [potenziell epochal für die "KI-Rasse"](https://news.ycombinator.com/item?id=48519780) diskutiert.
▶ Top Playbooks Alle Playbooks →
Bereiche