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How AI agents work, think, and act autonomously. Turing Post covers multi-agent systems, agentic memory, and the evolving AI software stack — for practitioners.
AI 101
+1

16 min read
May 11, 2026
Hermes Agent vs OpenClaw compared: memory architecture, self-improving skills, scheduling, and safety. Which local AI agent fits your workflow?


AI 101
+3

11 min read
May 6, 2026
How vector databases are evolving for AI agents: agentic RAG with Qdrant, memory layers with Weaviate Engram, and Pinecone Nexus knowledge engine explained.

AI 101
+2

13 min read
Apr 8, 2026
How much intelligence can you extract from the hardware you already have? Gemma 4 has the answer

Concepts
+3

11 min read
Mar 4, 2026
Why vibe coding breaks at scale — and how spec-driven development (SDD) fixes it. Covers Kiro by AWS, GitHub Spec Kit, Tessl, and when to use each approach.


AI 101
+1

14 min read
Feb 18, 2026
OpenClaw personal AI agent explained: Gateway architecture, SOUL.md, HEARTBEAT.md & 6 lightweight alternatives for constrained hardware and simpler setups.


Concepts
+3

8 min read
Jan 14, 2026
Princeton’s new recipe for building better world models to support AI agents


Concepts
+4

10 min read
Aug 27, 2025
Explore how rethinking world model building patterns can turn our vision upside down and lead to a new Physical, Agentic, and Nested (PAN) system

AI 101
+1

10 min read
May 21, 2025
we discuss two fresh coding tools from Google DeepMind and OpenAI that reshape coding, making it more convenient and practical for real-world tasks optimization

AI 101
+2

9 min read
Mar 19, 2025
we discuss the timeline of Qwen models, focusing on their agentic capabilities and how they compete with other models, and also explore what is Qwen-Agent framework and how you can use it

Turing Post is an AI newsletter for engineers, researchers, founders, and technical managers who want to understand how machine learning and AI actually work.
Built on more than two decades in tech and seven years focused on AI, we track the research that matters, the systems being built, and the ideas shaping the field, from LLMs and AI agents to JEPA, world models, retrieval, inference, evaluation, AI infrastructure, and agentic workflows.
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