meta ai widerspruch — AI News Today
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13 from your feeds5 from searchMeta nutzt öffentliche Beiträge fürs KI-Training
Meta nutzt öffentliche Inhalte volljähriger Nutzer auf Facebook und Instagram, um seine Künstliche Intelligenz Meta AI zu trainieren. Ein Widerspruch bis zum 26. Mai 2025 bewirkt, dass sämtliche ...
openclaw 2026.4.29
2026.4.29 Highlights Messaging and automation get active-run steering by default, visible-reply enforcement, spawned subagent routing metadata, and opt-in follow-up commitments for...

How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines
AI coding assistants are powerful but only as good as their understanding of your codebase. When we pointed AI agents at one of Meta’s large-scale data processing pipelines – spanning four...

Meta Adaptive Ranking Model: Bending the Inference Scaling Curve to Serve LLM-Scale Models for Ads
Meta continues to lead the industry in utilizing groundbreaking AI Recommendation Systems (RecSys) to deliver better experiences for people, and better results for advertisers. To reach the next...
Meta AI in WhatsApp: So schützt du deine Chats und Daten vor dem KI-Training
Mit einem Widerspruchsformular kannst du Meta die Nutzung bestimmter Daten für KI-Training untersagen. So behältst du die Kontrolle über deine Daten.
Kein blauer Kreis mehr in WhatsApp: Meta AI sieht plötzlich anders aus
Meta AI in WhatsApp lässt sich nicht vollständig ausschalten. Jetzt gibt es erstmals eine sichtbare Veränderung.
v2.1.91
What's changed Added MCP tool result persistence override via _meta["anthropic/maxResultSizeChars"] annotation (up to 500K), allowing larger results like DB schemas to pass through without truncation...
Meta-KI-Training mit Ihren Daten: So funktioniert der Widerspruch
Meta nutzt öffentliche Beiträge auf Facebook und Instagram, um seine KI zu schulen. Was Sie verhindern können, was dabei wichtig ist – und wie es mit WhatsApp aussieht.
openclaw 2026.5.2
Highlights External plugin installation, update, doctor repair, dependency reporting, and artifact metadata now cover the npm-first cutover, stale configured installs, missing package payloads, and...

Capacity Efficiency at Meta: How Unified AI Agents Optimize Performance at Hyperscale
We’re sharing insights into Meta’s Capacity Efficiency Program, where we’ve built an AI agent platform that helps automate finding and fixing performance issues throughout our infrastructure. By...

KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure
This is the second post in the Ranking Engineer Agent blog series exploring the autonomous AI capabilities accelerating Meta’s Ads Ranking innovation. The previous post introduced Ranking Engineer...
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