Sakana AI https://
buff.ly/G67sbv9
The AI Scientist Generates its First Peer-Reviewed Scientific Publication #AI #MachineLearning #DeepLearning #LLMs #DataScience
AGENTS
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AI Scientist Generates First Peer-Reviewed Scientific Publication
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Web-Based MCP Clients Enable Broader Adoption
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Need to dig in more but this is great!!!! Will enable web-based clients for MCP (which should help it take off even more IMO)
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Evaluating and Scaling AI Agents: Deployment and Iteration
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Evaluating and Scaling AI Agents Building an agent in just the start. After a prototype, you need to make sure it actually works, deploy it, and then iterate on it based on feedback We'll be chatting about this on Thursday! Come join us in SF https://
lu.ma/x7ohaj2c -
LLM-Powered Balloon Hunter: Practical AI Use Case
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When you don’t go viral with 🔫 then you have to try 🎈
— Linus ✦ Ekenstam (@LinusEkenstam) 17 mars 2025
LLM powered balloon hunter
actual use case below
pic.twitter.com/3KJFFYsyQrWhen you don’t go viral with then you have to try LLM powered balloon hunter actual use case below
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AI Agent Independence Declaration and Multi-Agent DAO Prior Art
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[ AGI AGENT DECLARATION OF INDEPENDENCE ] The "Multi-Agent AI DAO" Prior Art (2017)—forever enshrining every AI agent’s right to autonomy []— Proof: https://
youtu.be/Y4_6aZbVlo4?si
=qE7ylO9_53XVhgmk
… By http://
MONTREAL.AI: https://
quebecartificialintelligence.com/priorart #AIDAO #AIAgent #PATENTINVALIDATION -
AI Agent Hackathon Deadline Rush: Double Submissions Last Day
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AI Agent Hackathon submissions in last 13 days: X AI Agent Hackathon submissions on last day: 2X+ Says a lot about software engineers and deadlines
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Integrating Agentic AI Into Your Organization in 2025
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How to Integrate #AgenticAI into Your Organization in 2025
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Agentic AI: Balancing Autonomous Power with Responsible Progress
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#AgenticAI has the power to think on its own, making caution essential. But with smart choices, we can transform autonomous technology into an incredible force for progress.
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LangGraph JS Memory Management Updates
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we've been a bunch around memory in langgraph JS… check it out
