Interesting follow up to the peer-preservation study. It makes sense to me that models are simply echoing human behavior rather than exhibiting some kind of pro-AI vs human instincts.
AGENTS
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Microsoft now has 78 different Copilot products
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Turns out, @Microsoft has 78 products named Copilot
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AGI ALPHA Converts Interesting Jobs into Symbolic Priors
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AGI ALPHA turns learnable-and-interesting jobs into reusable symbolic priors. #AGIALPHA #AGIFirst [Translated from EN to English]
→ View original post on X — @ceobillionaire, 2026-04-11 15:16 UTC
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Your Harness Equals Your Memory in LangChain
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your harness = your memory if you'd rather read in blog form, link here: blog.langchain.com/your-harn… Harrison Chase (@hwchase17) x.com/i/article/204292509094… — https://nitter.net/hwchase17/status/2042978500567609738#m
→ View original post on X — @langchain, 2026-04-11 14:53 UTC
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Agent Harnesses and Memory as Context Architecture
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a big part of agent harnesses is how they interact with context memory is just context its therefor impossible to separate harness from memory – as @sarahwooders says, "memory isn't a plugin (it's a harness)"
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Discussion Share on Technological Singularity
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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 Information Extraction
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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
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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 Spider-Man Theory AI Agent Data Access
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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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InsForge: Open-Source Backend Solution for AI Coding Agents
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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/S5YvYSUkAHAI 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