Your mental map is off. openclaw is the layer that gives codex/claude superpowers. It can *use* codex/claude and others.
TOOLS
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Why not integrate? Anthropic banned you, use codex
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What’s stopping you from integrating it right now? (I see that Anthropic banned you, codex is the better performing harness/model tho so just use that)
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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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AI Tool Demonstrates Precise Object Color Change in Video Editing
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haven’t seen any video tool pull this off
— Nico (@nicos_ai) 29 mai 2026
i filmed a guy playing with a red ball and asked aleph 2.0 to make it green on @runwayml
only the ball changed color
his movement, the bounce and the background stayed exactly the same
this is where “regenerating everything” and… pic.twitter.com/4ZHHUtzdjbhaven’t seen any video tool pull this off i filmed a guy playing with a red ball and asked aleph 2.0 to make it green on @runwayml only the ball changed color
his movement, the bounce and the background stayed exactly the same this is where “regenerating everything” and -
Anthropic criticized for failing to lower API costs
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Has @AnthropicAI completely given up on making API usage reasonably-priced? Following the token-usage changes recently they announced various updates to *subscription* usage to make it more reasonable. But they've done NOTHING for API users. The cost is insane at this point.
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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 -
Visualization of all humans generated by Opus 4.8 in Claude Code
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How lucky are you to have been born when and where you are? Had Opus 4.8 in Claude Code whip up a new visualization of all humans who ever lived. In addition to being neat, it is an interesting test of combining research, code, design and stats for an AI. https://
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Step 3.7 Flash MoE Model with 256K Context Released
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Step 3.7 Flash is here ICYMI: 198B MoE with 11B active params, 256K context, native image + video support. Day 0 support is live on http://
build.nvidia.com with GPU-accelerated endpoints, deploy with NVIDIA NIM inference microservices, and fine-tune with the NVIDIA NeMo