teddit.net/r/singularity/s/R… [Translated from EN to English]
→ View original post on X — @kimmonismus, 2026-04-11 14:50 UTC
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teddit.net/r/singularity/s/R… [Translated from EN to English]
→ View original post on X — @kimmonismus, 2026-04-11 14:50 UTC

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DUPLEX: Agentic Dual-System Planning via LLM-Driven Information Extraction Hua et al.: arxiv.org/abs/2603.23909 #ArtificialIntelligence #NeuroSymbolic #SymbolicAI [Translated from EN to English]
→ View original post on X — @ceobillionaire, 2026-04-11 14:12 UTC

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DUPLEX: Agentic Dual-System Planning via LLM-Driven Information Extraction Hua et al.: arxiv.org/abs/2603.23909 #ArtificialIntelligence #NeuroSymbolic #SymbolicAI [Translated from EN to English]
→ View original post on X — @ceobillionaire, 2026-04-11 14:09 UTC

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Snowflake manager explains the 'Spider-Man' theory of AI agent data access https://
go.theregister.com/feed/www.there
gister.com/2026/04/10/ai_agents_spider_man_snowflake/?utm_source=dlvr.it&utm_medium=twitter
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AI agents suck at backend.
— Akshay 🚀 (@akshay_pachaar) 11 avril 2026
They ship beautiful frontends in seconds, but completely fall apart the moment you ask for a database, auth, or storage.
InsForge is an open-source solution, built natively for AI coding agents and editors. It exposes backend primitives like… pic.twitter.com/S5YvYSUkAH
AI agents suck at backend. They ship beautiful frontends in seconds, but completely fall apart the moment you ask for a database, auth, or storage. InsForge is an open-source solution, built natively for AI coding agents and editors. It exposes backend primitives like databases, auth, storage, and functions through a semantic layer that agents can understand, reason about, and operate end-to-end. It works with any agent you already use, whether that is Cursor, Claude Code, Codex, OpenClaw, or Hermes. 100% open source. GitHub repo: github.com/InsForge/InsForge (don't forget to star 🌟)
→ View original post on X — @akshay_pachaar, 2026-04-11 12:40 UTC

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Agentic AI patterns ≠ features. They’re operating models. ReAct → execution CodeAct → engineering Self-reflection → accuracy Multi-agent → complexity Agentic RAG → knowledge Pick based on decision risk, not hype.
→ View original post on X — @ingliguori, 2026-04-11 12:17 UTC
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Previous automation replaced physical labor. AI agents target knowledge workers instead. Partner content with Siemens.
— Lucian Fogoros (@fogoros) 11 avril 2026
The TAM for agent disruption is bigger than all other industries combined.
Completely different scale of economic impact. #sie_us #HM26. pic.twitter.com/NBdq8Yicnm
Previous automation replaced physical labor. AI agents target knowledge workers instead. Partner content with Siemens. The TAM for agent disruption is bigger than all other industries combined.
Completely different scale of economic impact. #sie_us #HM26.

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AI agents that can read files, install packages, and call APIs need more than intelligence.
— Satya Mallick (@LearnOpenCV) 11 avril 2026
They need boundaries.
NVIDIA's play:
OpenShell → secure sandbox runtime for AI agents
Nemo Claw → plugs Open Claw into that sandbox
Already supports Claude Code, Codex, OpenCode
The… pic.twitter.com/y9KLGFNisV
AI agents that can read files, install packages, and call APIs need more than intelligence. They need boundaries. NVIDIA's play: OpenShell → secure sandbox runtime for AI agents Nemo Claw → plugs Open Claw into that sandbox Already supports Claude Code, Codex, OpenCode The agentic AI infra story nobody's covering ↓ #AgenticAI #NVIDIA #OpenShell #NemoClaw #AIAgents #AISafety #OpenClaw #AIEngineering
→ View original post on X — @learnopencv, 2026-04-11 10:33 UTC
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Breakthrough: My new CryWolf agent generates AI scares at a higher rate than ever before! Be very afraid!
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Don’t be fooled. He worked 24×7, including in his sleep.