We’re making Codex more useful for your work by expanding plugins beyond individual tools. These plugins turn Codex into a specialist for a specific role with a single install, no coding required. Codex can access 62 popular apps and 110 skills for work across sales, data
AUTOMATION
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AI reads 40k small accounts to build news page
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It is true. Which is why I bug lists if about 40,000 small accounts. “AI Community” lists are ask people with fewer than 20,000 followers. AI Newsmakers and AI Influencers are big. https://
x.com/scobleizer/lis
ts
… Then I made an AI to read them all and build a news page of the best: -
Factory’s auto model selection outpaces OpenAI and Anthropic
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Factory now auto selects the right model for you…I don’t see how Anthropic or OpenAI can compete with this.
— Nathan Lands (@NathanLands) 2 juin 2026
Models will continue to be good at different things, with different cost profiles. And that will change more rapidly over time.
Now you don’t have to worry about that. https://t.co/ChWaOWnzv3Factory now auto selects the right model for you…I don’t see how Anthropic or OpenAI can compete with this. Models will continue to be good at different things, with different cost profiles. And that will change more rapidly over time. Now you don’t have to worry about that.
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Taiwan powers global AI factory buildout with accelerated computing and AI agents
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Taiwan isn’t just building AI infrastructure, it’s powering the world’s AI factory buildout. 👏
— NVIDIA (@nvidia) 2 juin 2026
From fabs to factory floors, leaders like TSMC, Foxconn, QCT, Pegatron, and Wistron are using accelerated computing, digital twins, and AI agents to transform how AI systems are… pic.twitter.com/E50uZG0t3lTaiwan isn’t just building AI infrastructure, it’s powering the world’s AI factory buildout. From fabs to factory floors, leaders like TSMC, Foxconn, QCT, Pegatron, and Wistron are using accelerated computing, digital twins, and AI agents to transform how AI systems are
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Edge machine learning adjusts production speed based on real-time quality
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Production lines now run machine learning on the edge to adjust speed based on quality in real time. When quality drops below threshold, the line automatically slows down. No cloud latency when optimizing bottleneck processes. #edgeai #smartfactory pic.twitter.com/QQqQl0Q6il
— Lucian Fogoros (@fogoros) 2 juin 2026Production lines now run machine learning on the edge to adjust speed based on quality in real time. When quality drops below threshold, the line automatically slows down. No cloud latency when optimizing bottleneck processes. #edgeai #smartfactory
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LangSmith Studio adds one-click Deploy button for agents
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🚀 Go from prototype to production in one click.
— LangChain (@LangChain) 2 juin 2026
We added a new Deploy button to LangSmith Studio, so you can deploy your agent directly to LangSmith Deployment. pic.twitter.com/TtdjR8LLsjGo from prototype to production in one click. We added a new Deploy button to LangSmith Studio, so you can deploy your agent directly to LangSmith Deployment.
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NemoClaw on DGX Spark: AI agent from unboxing in minutes
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From unboxing to AI agent in minutes. Getting an agent running used to mean sourcing a model, configuring an inference backend, installing a runtime, and wiring it all together. The new NemoClaw install path on DGX Spark replaces that with a single command. DGX Spark also
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AI agents’ delegation layers become dependencies and risk
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AI agents make work easier by adding layers of delegation. Awesome! Well…those layers become dependencies, and those dependencies become risk. Not awesome? My @InfoWorld column tackles some recent @mitchellh advice and finds it…mostly good, most of the time
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Codex on Mac Mini controlled via Codex Mobile
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Yep! Codex on my Mac Mini, mostly controlled via Codex Mobile
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Tokens as insane leverage: Codex on one machine example
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And this is just Codex, on one machine. Doesn’t even include my other machine, Claude, and Agent-S tokens. Tokens, when used correctly, are insane leverage.