— Pika (@pika_labs) 11 juin 2026
this AI skill can turn your video into any language with great lip sync.. Pika MCP make it so real x.com/pika_labs/stat…
AUTOMATION
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Stop doing things that don’t matter, use MCP to dub to Mandarin
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— Pika (@pika_labs) 11 juin 2026
Stop doing things that don't matter. Instead do things that resonates with yourself I love making communication easy, and tearing down barriers using technology Here I used Pika's MCP to quickly dub myself to mandarin, because I like this stuff Time for me to go global x.com/pika_labs/stat…
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AI integration into factory workflows unlocks new efficiencies and scale
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The integration of AI-driven insights directly into operational workflows, not just cost savings or uptime. Factories that seamlessly embed these capabilities can unlock new efficiencies and scale potential beyond the immediate metrics of cost and coverage.
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Rippling’s AI-native transformation across all products in 6 months
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How they shipped this in 6 months https://
langchain.com/blog/how-rippl
ing-went-ai-native-across-every-product-in-6-months-with-deep-agents-and-langsmith
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Deep Agents multi-agent system with reading agents
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@Rippling AI is a multi-agent system of Deep Agents. Under each supervisor agent, 3 specialized Deep Agents are placed below them. Reading agents: Query structured data across Rippling product domains + connected platforms -
Rippling’s AI-native transformation across products in 6 months
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How they shipped this in 6 months https://
langchain.com/blog/how-rippl
ing-went-ai-native-across-every-product-in-6-months-with-deep-agents-and-langsmith
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Seamless AI Integration Barrier: Modular Infrastructure for Warehouses
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The biggest adoption barrier today is often the seamless integration of AI systems with existing warehouse operations. Organizations must focus on creating a modular and adaptive infrastructure that can evolve as AI capabilities mature. Achieving this will unlock significant
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Deep AI, Questioning the Status Quo, Human Purpose
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Our CEO Jensen Huang on the opportunity ahead: use AI deeply, challenge the status quo, and stay focused on the human purpose behind the work.
— NVIDIA (@nvidia) 11 juin 2026
Every job has tasks. People give those tasks purpose, and AI can help turn that purpose into greater impact. pic.twitter.com/al0ghqrqvLOur CEO Jensen Huang on the coming opportunity: using deep AI, questioning the status quo, and staying focused on the human purpose behind the work. Every job has tasks. People give meaning to those tasks, and AI can help transform
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Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
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Toward Generalist Autonomous Research via Hypothesis-Tree Refinement pic.twitter.com/NHDKezxAoY
— AK (@_akhaliq) 11 juin 2026Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
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Duration of work sessions and cost comparison between Codex and Fable
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It really depends on the duration of your work sessions. I run loops on Codex on average for 5/10 hours. This would be incredibly expensive with Fable.