Your mental map is off. openclaw is the layer that gives codex/claude superpowers. It can *use* codex/claude and others.
AGENTS
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WALL-WM: World Action Model using semantic events as atomic units
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X Square Robot presents WALL-WM — a World Action Model that uses semantic events as atomic units, aligning language, video, and action granularities. https://t.co/JAKBdwnCKE
— 机器之心 JIQIZHIXIN (@jiqizhixin) 29 mai 2026X Square Robot presents WALL-WM — a World Action Model that uses semantic events as atomic units, aligning language, video, and action granularities.
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Token allocation, not model, drives multi-agent AI performance, study finds.
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80% of multi-agent performance variance is just token allocation, not the model. That's from a UC Berkeley paper that decomposes any AI agent into 6 components: model, memory, context, skills, orchestration, verification. The model is one. The other 5 are where the gains
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8B MoE Model Trained for Agentic Local Workflows
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8B MoE (1B Activated) trained on 38 trillion tokens for local and agentic workflows
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Opus 4.8 more cooperative but still expensive
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Worked on some code this morning using Opus 4.8 and so far I'm really liking it. Much more cooperative than 4.7 and less "over agentic". Stops and asks for my input when needed in places 4.7 (and GPT 5.5) would just foolishly blast ahead. (Still WAY too expensive.)
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ChatLLM Smart Model Router for Task-Specific AI Selection
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ChatLLM smartly routes to the best model based on your prompt Opus 4.8 – front-end
GPT 5.5 – back-end coding
Grok 4.5 – real-time
Flash 3.5 – chat Nano Banana Pro – image
Seedance 2.0 – video
ElevenLabs – voice
Gemini Pro 3.1 – research
DeepSeek Flash – simple We smartly -
Claude AI Agent Autonomously Grows Tomatoes 100+ Days
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Anthropic’s Claude #AI #Autonomously Grows Tomatoes for 100+ Days in Groundbreaking Experiment
— Ronald van Loon (@Ronald_vanLoon) 29 mai 2026
by @d33v33d0#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/LBHXWu8oiqAnthropic’s Claude #AI #Autonomously Grows Tomatoes for 100+ Days in Groundbreaking Experiment
by @d33v33d0 #ArtificialIntelligence #MachineLearning #ML -
AI claims about family and friends are not convincing
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Thanks for clarifying. Let me explain why I am not at all convinced. I once read an AI say that it likes to play with its friends and family on the weekend; a Facebook bot claimed that it had kids in school in New York City. Just because a bot says something doesn’t mean its
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AI Agent Autonomously Automates PR Merge Workflow
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While working on openai/codex today, Codex surprised me by setting up its own heartbeat automation to poll my PR until CI was green and approvals were in. It kept checking every 10 minutes for an hour, merged the PR once everything was ready, then removed the automation. High