Schema-first at ingestion time is the right framing. Most teams discover this after building the retrieval layer and wondering why structured queries return noise. The 10/10/10 constraint in Graphiti helps too. Forces you to model the 80% that matters rather than attempting
MACHINE LEARNING
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Long-Horizon Agents: Attention Scaling and Sleep Mechanisms
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// Language Models Need Sleep // Let your agents "sleep", folks. On a serious note, this is a fascinating paper on getting the most from long-horizon agents. Here is the problem with agents today: Attention scales badly with context length, so long-horizon agents keep paying a
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Text Diffusion and Elastic Reasoning from Nemotron Labs
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From the Lab: Text Diffusion and Elastic Reasoning | Nemotron Labs https://
x.com/i/broadcasts/1
dxYllaRLMLJX
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One-click VPO template for Qwen from openresearch.sh
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Check out the one-click template of VPO here! https://
openresearch.sh/templates/qwen
-vpo
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OpenResearch sneak peek: train VPO on ToolRL in one click
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Here’s an early sneak peak of OpenResearch, our brand new feature for reproducing and experimenting on top of papers
— alphaXiv (@askalphaxiv) 26 mai 2026
We put together a template so you can train VPO on ToolRL in one click on a single gpu
Vector Policy Optimization trains models to generate diverse answer sets… pic.twitter.com/MEaGQ1HIYMHere’s an early sneak peak of OpenResearch, our brand new feature for reproducing and experimenting on top of papers We put together a template so you can train VPO on ToolRL in one click on a single gpu Vector Policy Optimization trains models to generate diverse answer sets
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Concerns about infinite context windows and model memory
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Infinite context windows seem to present a very large problem to using AI. Today's models already leak too much old information into current responses, a distraction that is part of why they are cognitively exhausting to use I don't want to work with Borges's Funes the Memorious
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LangSmith Engine Accelerates Self-Optimizing AI Loops
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LangSmith Engine makes your self-optimizing loops spin faster and faster
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Reservoir Computing Enhances Soft Robotics Control
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Unlocking soft #Robotics control with #AI's cousin: Reservoir computing
by Alex Parrish @TechXplore_com Learn more: https://
bit.ly/4f3sTIO #Robots #Engineering #TechForGood #Innovation #Technology -
Why small conversational models differ from paid models
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Great question! A couple reasons:
1) they are not the same as paid models, they are small & built for fast conversation rather than real work
2) they are designed to be cheap to run, so they use minimal thinking and tool calls. Tool calls and thinking are big drivers of accuracy