just playing around a bit with codex claude code and what not while being sick. i just found out, that computer use within codex is still not available in europe?? why the heck is europe lacking behind in every single aspect. god damn @eucommission . seriously.
AGENTS
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Building Agentic Systems with CrewAI and Amazon Bedrock
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Build Agentic System with CrewAI and Amazon Bedrock! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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Educational Guide to Designing and Implementing AI Agents
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AI Agents in Action: http://
amzn.to/44kbHsL v/ @ManningBooks Gain hands-on experience in these areas: Understand & implement AI agent behavior patterns Design & deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools -
AI Agents and World Models: Research on Predictive Planning
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Can AI agents see into the future before acting? A team from UIUC, THU, JHU, and Columbia tested exactly that. They gave agents generative world models—external simulators that could predict outcomes before taking action. The result? Most agents refuse to simulate (under 1%
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Implementing Pause-and-Reflect Strategy in AI Agent Prompts
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6. Add pause-and-reflect to agentic prompts. After each tool call, instruct: "reflect in tags. did this result answer what I needed? what's the next step?" This stops "optimistic chaining" where the model proceeds on results it never verified. (This is how the
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Scaling Senior Engineer Productivity with Claude Code and Multi-Agent Workflows
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Así escala de verdad un Senior Engineer con Claude Code.
— Nico (@nicos_ai) 9 mai 2026
La diferencia está en mover tu tiempo hacia lo que más importa:
→ mejores prompts, más planificación, más review, menos tecleo.
El workflow:
usa un plugin que divide cada tarea entre 5 agentes:
– uno hace brainstorming
-… pic.twitter.com/PkMxnKfmEJHere's how a Senior Engineer truly scales with Claude Code. The difference lies in shifting your time toward what matters most:
→ better prompts, more planning, more review, less typing. The workflow:
use a plugin that divides each task among 5 agents:
– one does brainstorming -
AI Capable of Independent Organizational Work is Coming Soon
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> Level 5 > Organizations
> AI that is capable of doing all of the work of an organization independently Soon -
Using LangSmith for Organizational AI Agent Collaboration
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one way to view langsmith is as a platform for the whole org to collaborate on building agents helps speed up that feedback loop between different personas
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Running local AI agents reveals hardware compute bottlenecks
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running agents on my laptop is the first time in a long time where i feel my computer is underpowered i could actually consume way more RAM and GPU if it was available
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MiniCPM-o 4.5 for omni-modal interactions
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MiniCPM-o 4.5 Towards Real-Time Full-Duplex Omni-Modal Interaction paper: https://
huggingface.co/papers/2604.27
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