Cool. https://
amzn.to/4rhKcIG (Birthday wish list)
SYSTEMS
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User expresses strong dislike for tmux and its interface
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Yuan3.0 Ultra introduces Layer-Adaptive Expert Pruning for large models
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How do you train a trillion-parameter AI model while dramatically improving efficiency? http://
YuanLab.ai @YuanAI_Lab presents Yuan3.0 Ultra to tackle exactly that. They introduced Layer-Adaptive Expert Pruning (LAEP) for pre-training — a system that monitors how much -
AGI Jobs v0 (v2): A Superintelligent AI Labor Marketplace
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AGI Jobs v0 (v2): A Superintelligent AI Labor Marketplace of Unprecedented Power Article : https://
linkedin.com/pulse/agi-jobs
-v0-v2-superintelligent-ai-labor-marketplace-power-boucher-kla2e/
… #AGIALPHA #AIAgents #Superintelligence -
LightRetriever promises LLM-level search with 1000x faster queries
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What if you could get LLM-level search accuracy with 1000x faster query speeds? CAS and Langboat Technology present LightRetriever to do just that. The architecture keeps a powerful LLM for heavy document processing offline but replaces slow real-time query encoding with a
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Moving Legacy SCE to GxP-Validated Platform at Rev26
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Tim Williams, Statistical Solutions Lead, @UCB_news
, is joining us at #Rev26 in Philadelphia this May. His talk will share what it actually takes to move from a legacy SCE to a GxP-validated platform, technical debt, scope, and all. Seats are limited: https://
domino.buzz/4b0ILZ4 -
MLOps Stack and AI Agents: Critical System Design Considerations
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Very much succinct write up on each tech stack! 1) MLOps: very much important to note done tools you are gonna use and their tradeoffs. system design is critical to know where you are gonna fit AI or not. everything is AI first now a days. 2) Agents: Most of the critical tool
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How to Monitor AI Agent Outputs: Best Practices
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How do you monitor agents outputs? What do you recommend?
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Agentic AI Periodic Table: From LLM to Autonomous Systems
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Agentic AI now has its own “Periodic Table” From: LLM, RAG, RL
to PLAN, MAS, LTM
to SAFE, HUMAN oversight
to HR, MKT, LEGAL use cases
Autonomous AI = memory + planning + tools + safety + collaboration.
It’s a system, not a prompt.
Credit: Prem Natarajan
#AgenticAI #AIStack -
Agentic AI: From Generation to Autonomous Orchestrated Systems
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Agentic AI = layered intelligence.
AI/ML → Deep Learning → GenAI → AI Agents → Agentic AI.
From: • Data → Decisions
to
• Content → Tasks
to
• Autonomous, governed systems.
The future isn’t just generation.
It’s orchestration + memory + planning + safety.
That’s the real -
Shadow Testing Candidate Models: Addressing Side Effects in AI Deployment
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Shadow testing is underrated. Though even shadow testing has a blind spot. If your candidate model has side effects (like triggering downstream API calls or writes), you can't truly "shadow" it without extra isolation. Learned this the hard way.