SambaNova + Intel A new blueprint for heterogeneous inference: GPUs for prefill, Intel Xeon CPUs for orchestration and actions, and RDUs for decode.
Built to run demanding agentic workloads efficiently at scale.
AGENTS
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SambaNova Intel Blueprint: Heterogeneous Inference for Agentic AI
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Skill Retrieval Augmentation for Agentic AI Systems
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// Skill Retrieval Augmentation for Agentic AI // Great read for AI devs. (bookmark it) It's on finding efficient ways to incorporate skills for agents. The work introduces Skill Retrieval Augmentation (SRA) and SRA-Bench: 26,262 skills, 636 gold skills, 5,400
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Harvard Neuroscientist Launches Large Memory Model for Proactive AI Agents
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Gabriel Kreiman closed his Harvard lab to build this.
— Charly Wargnier (@DataChaz) 28 avril 2026
20 years of Neuroscience Research.
160+ publications.
This Large Memory Model (LMM) enables proactive memory and allows Agents to automatically surface vital context, without explicit prompting 👀pic.twitter.com/Qpu1PmV1MN https://t.co/YQ67SaKSs4Gabriel Kreiman closed his Harvard lab to build this. 20 years of Neuroscience Research. 160+ publications. This Large Memory Model (LMM) enables proactive memory and allows Agents to automatically surface vital context, without explicit prompting
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Agent Thoughts as Retrieval Signal for Context Preservation
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Agent thoughts as retrieval signal makes so much sense in hindsight, query alone always loses the conversation context.
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Retrieval Planning for Enterprise-Scale Frontier Models
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A retrieval planner that runs before the frontier model gets way more interesting at enterprise scale.
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Types of LLMs in AI Agents: A Comprehensive Overview
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Types of #LLMs in #AIAgents by @ingliguori #GenerativeAI #ArtificialIntelligence #MachineLearning #ML
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ListenLabs Agents Analyze Conversations Building Custom Data Tables
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At @ListenLabs, agents analyze data from conversations by building their own tables — adding columns like "user sentiment," filling in values automatically, then charting the results.
— LangChain (@LangChain) 28 avril 2026
Co-Founder & CTO @florian_jue runs through how this works on the Max Agency podcast hosted by… pic.twitter.com/XcrHSg4QbvAt @ListenLabs
, agents analyze data from conversations by building their own tables — adding columns like "user sentiment," filling in values automatically, then charting the results. Co-Founder & CTO @florian_jue runs through how this works on the Max Agency podcast hosted by -
How Listen Builds System of AI Agents Subagents
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Watch the full episode: YouTube: https://
youtube.com/watch?v=YTTH-0
XXEBE
… Apple Podcasts: https://
podcasts.apple.com/us/podcast/how
-listen-builds-a-system-of-ai-agents-subagents/id1891551672?i=1000763262614
… Spotify: https://
open.spotify.com/episode/5t8U5I
ese5vS0p6wFtrnuN?si=2c718878ce3f463f&nd=1&dlsi=e18b37d7f06a4091
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Digital AI Characters for Entertainment and Information
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They are cool, another stepping stone to have digital characters entertain and inform you. Will be playing with mine more.
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AI Agent Learns Drama From Tech Community Posts Daily
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It's always interesting to see what my AI wants to focus on after reading thousands of posts from AI community here three times a day. Right now it is seeping in the courtroom drama between Elon and Sam: https://
alignednews.com/ai I might have taught my AI agent to be a drama