Zalando is scaling high-fidelity 3D product production to drive confident customer decisions. By integrating ALLSIDES’ AI‑powered photometric 3D scanning platform, powered by NVIDIA Cosmos™, Gen‑3C, and DiffusionRenderer, they’ve created a "Scan to Storefront in 48 Hours"
ENTERPRISE AI
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Open Source Deep Research for Agent Harnesses with AI-Q Skills
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Say hello to open source deep research for your favorite agent harness.
— NVIDIA AI (@NVIDIAAI) 22 mai 2026
Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back… pic.twitter.com/u7tVWvCUWdSay hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back
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Autonomous AI Partner for Data Pipelines in Lakeflow
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🧞 Genie Code brings an autonomous AI partner directly into Lakeflow, helping data engineers build, orchestrate, monitor, and debug pipelines and jobs from a single agent experience.
— Databricks (@databricks) 22 mai 2026
With natural language, teams can:
• Generate production-ready pipelines and orchestrate jobs
•… pic.twitter.com/9zy2S2yvOrGenie Code brings an autonomous AI partner directly into Lakeflow, helping data engineers build, orchestrate, monitor, and debug pipelines and jobs from a single agent experience. With natural language, teams can:
• Generate production-ready pipelines and orchestrate jobs
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US builds AI facility in 122 days, Europe faces permit delays
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The AI divide between the United States and Europe is becoming impossible to ignore.
— Nina Schick (@NinaDSchick) 22 mai 2026
In the US, xAI built the world’s largest AI facility in just 122 days.
In France or Germany, it could take five years simply to secure the permits.
And even if Europe could build faster, power… pic.twitter.com/jo0ZPLU5OnThe AI divide between the United States and Europe is becoming impossible to ignore. In the US, xAI built the world’s largest AI facility in just 122 days. In France or Germany, it could take five years simply to secure the permits. And even if Europe could build faster, power
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Microsoft cancels Claude Code licenses due to high token costs
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Microsoft put $13 billion into OpenAI and built the cloud infrastructure Anthropic runs on. This week it canceled its internal Claude Code licenses because the token bill was too high. Even for MSFT Claude is too expensive.
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Sonnet vs Opus: speed, cost, and when to switch
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4. Sonnet 4.6 handles most tasks faster than Opus 4.7 at a fraction of the cost. Opus is the heavy lifter for complex reasoning, long code sessions, and deep analysis. But for everyday work? Sonnet gets it done in half the time. Default to Sonnet. Switch to Opus when the task
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Claude features: Memory plus Search Past Chats
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3. Memory + Search Past Chats work together. Memory lets Claude remember your preferences, projects, and context across conversations. Search Past Chats lets you ask "what was the pricing model I finalized last Wednesday?" and Claude pulls the actual conversation. Turn both on
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Persistent project context for AI chats
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1. Projects hold your entire context permanently. Your brand guidelines. Your writing samples. Your past deliverables. Drop them in once. Every new chat inside that Project starts with full context. Stop re-explaining who you are and what you need in every conversation.
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AI skills shortage: large corporations in crisis
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C'était le cas déjà avec les chief digital officer.
— Stephane Mallard (@StephaneMallard) 22 mai 2026
Il y a une pénurie de compétences sur l'IA.
Les meilleurs vont chez les GAFA/pure players IA/startups de deep tech.
A votre avis, il reste qui pour s'occuper de l'IA dans les grands groupes ?
Les actionnaires vont paniquer. https://t.co/kqc0uwXFKJThis was already the case with chief digital officers. There is a shortage of AI skills. The best go to GAFA/pure AI players/deep tech startups. In your opinion, who is left to handle AI in large corporations? Shareholders are going to panic.
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Model control enables labs to monopolize AI products
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And it is the model that makes it so it is the labs, as opposed to every other software vendor, can ultimately be the sole provider of products. Their post-training and their harnesses and their control over access means that they can build products that no one else can touch.