In case anyone wants to improve/change/use it:
AGENTS
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Open-Source Voice Agents Replace Proprietary Paid Platforms
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You can now run unlimited voice agents for $0.
— AlphaSignal AI (@AlphaSignalAI) 29 mai 2026
Building a voice agent today usually means renting one.
You pay per minute. You hand over call data.
You hope the closed platform you depend on does not change terms.
A team of YC alumni just shipped the open source way out.… pic.twitter.com/AiNBJWULbgYou can now run unlimited voice agents for $0. Building a voice agent today usually means renting one. You pay per minute. You hand over call data. You hope the closed platform you depend on does not change terms. A team of YC alumni just shipped the open source way out.
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Agentic layer enables autonomous fact-based optimization
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The agentic layer closes the loop entirely, pushing fact-based optimizations without waiting for human intervention.
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Four Layers of Industrial AI: From Prediction to Automation
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Industrial AI operates across four layers: predictive forecasts what's coming, prescriptive recommends actions, generative exposes insights in natural language, agentic pushes optimizations directly to control systems. #industrialai #manufacturing
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Proactive Agents: LLM Efficiency in Wake Triggers
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Do proactive agents really need an LLM to decide when to wake? The default proactive agent calls an LLM on every event just to decide whether to wake up. That is a lot of expensive inference spent on a yes or no. New research from Microsoft and Purdue asks whether the trigger
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Teaching Robots Complex Tasks Without Extensive Training
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Teaching #Robots to do complex tasks WITHOUT spending hours training them
— Ronald van Loon (@Ronald_vanLoon) 29 mai 2026
via @IlirAliu_
#Robotics #AI #ArtificialIntelligence #MachineLearning #MI #Tech pic.twitter.com/QsA3VhFyOITeaching #Robots to do complex tasks WITHOUT spending hours training them
via @IlirAliu_ #Robotics #AI #ArtificialIntelligence #MachineLearning #MI #Tech -
Claude Dynamic Workflows: Parallel Subagents for Task Automation
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Claude's new Dynamic Workflows is amazing!
— AlphaSignal AI (@AlphaSignalAI) 29 mai 2026
1. Set model to Opus 4.8
2. Reasoning effort to /ultracode
It can spawn hundreds of subagents working in parallel to take on massive tasks. https://t.co/xa3mA4ewqF pic.twitter.com/frh9lov5wfClaude's new Dynamic Workflows is amazing! 1. Set model to Opus 4.8
2. Reasoning effort to /ultracode It can spawn hundreds of subagents working in parallel to take on massive tasks. -
20-minute intro to Managed Deep Agents by Runkle and Moreira16
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.@sydneyrunkle + @VictorMoreira16 with a 20 minute intro to Managed Deep Agents.
— LangChain (@LangChain) 29 mai 2026
Watch the full Interrupt keynote: https://t.co/jDvoDG6wek pic.twitter.com/hcBAIcUHpL.
@sydneyrunkle + @VictorMoreira16 with a 20 minute intro to Managed Deep Agents. Watch the full Interrupt keynote: https://
youtu.be/LdQpoK2TzSo -
Organizations continue adopting agentic AI for coding despite token concerns
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The hand-wringing over token usage is real, but I don’t see any organization that has adopted AI retreating from use in coding or even considering it. We are a few months into agentic coding, and companies are trying to experiment with approaches to balance adoption & efficiency
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Shift from Opus to GPT 5.5 as best model for Clawdbot
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I was full on promoting Opus as best model for “Clawdbot”. Luckily that changed and GPT 5.5 is now the best model based on our internal benchmarks.