GenAI

GenAI

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Agents 2.0: From Shallow Loops to Deep Agents
Agents 2.0: From Shallow Loops to Deep Agents
An overview of the architectural shift from Shallow Agents (Agent 1.0) to Deep Agents (Agent 2.0) and how to build complex AI agents that can handle multi-step tasks over extended periods.
·philschmid.de·
Agents 2.0: From Shallow Loops to Deep Agents
YouMind-OpenLab/awesome-gpt-image-2: 🚀 Curated GPT Image 2 prompt library — OpenAI's next-gen image model with pixel-perfect text rendering, cross-image consistency, and commercial-grade illustration. 16 languages. Free & open source.
YouMind-OpenLab/awesome-gpt-image-2: 🚀 Curated GPT Image 2 prompt library — OpenAI's next-gen image model with pixel-perfect text rendering, cross-image consistency, and commercial-grade illustration. 16 languages. Free & open source.
🚀 Curated GPT Image 2 prompt library — OpenAI's next-gen image model with pixel-perfect text rendering, cross-image consistency, and commercial-grade illustration. 16 languages. Free & open...
·github.com·
YouMind-OpenLab/awesome-gpt-image-2: 🚀 Curated GPT Image 2 prompt library — OpenAI's next-gen image model with pixel-perfect text rendering, cross-image consistency, and commercial-grade illustration. 16 languages. Free & open source.
How to grep video
How to grep video
Notes on context engineering and agent harnesses for video libraries: designing the structured representations to make media legible to LLMs. Since we started joining meetings from our computers, video has become the default way that organizations capture what happens at work. We’re at the point now where recording things
·blog.cloudglue.dev·
How to grep video
Knowledge Graphs for AI
Knowledge Graphs for AI
Bridging the gap between organisational data, implicit organisational reasoning, and AI reasoning with Knowledge Graphs purpose-built for AI.
·open.substack.com·
Knowledge Graphs for AI
Structured Test-Time Scaling: From Multi-Agent Systems to General Inference Architectures
Structured Test-Time Scaling: From Multi-Agent Systems to General Inference Architectures
A unified theoretical framework for structured test-time scaling, showing how topology compression, scope isolation, and decoupled verification—a three-layer structural decoupling—bypass the linear collapse of long-horizon reasoning across multi-agent systems, recursive architectures, and coding agents.
·xinmingtu.cn·
Structured Test-Time Scaling: From Multi-Agent Systems to General Inference Architectures
What goes into the system prompt vs. what goes into an Agent Skill?
What goes into the system prompt vs. what goes into an Agent Skill?
Agent’s system prompt is for identity, constraints, and persistent context. • What the agent is and what it should always or never do • How it should generally approach problems (reasoning style) • Persistent
·x.com·
What goes into the system prompt vs. what goes into an Agent Skill?
Harness, Memory, Context Fragments, & the Bitter Lesson
Harness, Memory, Context Fragments, & the Bitter Lesson
this is a work in progress mental dump on interesting intersections between how we use and design a harness, implications for memory being accumulated over long timescales, and the search bitter lesson we can’t escape this
·x.com·
Harness, Memory, Context Fragments, & the Bitter Lesson