« La compassion n'est pas simplement une réaction, c'est un choix. »
Juge Frank Caprio
AGENTS
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Compassion as Choice: Ethics in AI Decision Making
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100+ Free Open Source AI Agents and RAG Tutorials
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Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
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100+ Free Step-by-Step AI Agents and RAG Systems Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
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Replace Employees with AI Agents Claude Subagent Templates
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You can literally replace your employees with AI Agents. Claude Subagent templates – 100% free and Opensource.
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Mem0: Open Source Memory Layer for AI Agents
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Build AI Agents with scalable long-term memory! Mem0 is a fully open source memory layer that provides AI agents with persistent, contextual memory. 100% Open Source
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Fully Autonomous Technology Demonstrates Early Stage Innovation
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This is fully autonomous, not teleoperated. We are still so early, holy moly pic.twitter.com/sWSlRhJnaN
— Chubby♨️ (@kimmonismus) 29 août 2025This is fully autonomous, not teleoperated. We are still so early, holy moly
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Microsoft, OpenAI, and Cohere Advance AI with New Models
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Top stories in AI today – Microsoft releases homegrown AI
– OpenAI’s gpt-realtime for voice agents
– Create an AI agent to handle email support
– Cohere’s SOTA enterprise translation model – 4 new AI tools, community workflows, and more Read more: https://
therundown.ai/p/microsofts-h
omegrown-ai-debut
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Chatbot Data Privacy: Default Stateless Architecture Prevents Training
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It's very easy to not train on data that people paste into chatbot – that's the default of how they work, they are stateless systems Training on that data requires deliberate engineering
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Microsoft rStar2-Agent Achieves State-of-the-Art Reasoning Performance
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Microsoft presents rStar2-Agent Agentic Reasoning Technical Report rStar2-Agent boosts a pre-trained 14B model to state of the art in only 510 RL steps within one week, achieving average pass@1 scores of 80.6% on AIME24 and 69.8% on AIME25, surpassing DeepSeek-R1 (671B) with
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Free Step-by-Step AI Agents and RAG Systems Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.