# edition state ai (audio feeds) — RSS Amplifier Recent posts from the 1 feeds in the RSS Amplifier directory that cover edition state ai. Page: Feed: --- ## [Hierarchical Planning for Embodied Agents, Test-Driven Code Generation, and Memory-Efficient Diffusion Models](https://stateai.substack.com/p/hierarchical-planning-for-embodied) _2026-08-19 · State of AI · State of AI_ 15 papers on smarter robots, cheaper diffusion, and the compute costs nobody was counting ## [A Breakthrough in Cost, Multi-Agent Reasoning Under Uncertainty, and Hallucination Mitigation Through Nested Memory](https://stateai.substack.com/p/a-breakthrough-in-cost-multi-agent) _2026-08-13 · State of AI · State of AI_ Welcome to today’s edition of State of AI 👋 And a warm welcome to our 26 new subscribers since last edition! ## [Metis: LLM Memory Without the Cumbersome Retrieval Stack](https://stateai.substack.com/p/metis-llm-memory-without-the-cumbersome) _2026-08-10 · State of AI · State of AI_ What happens when memory lives in the weights instead of a vector DB ## [Graph-Based Agentic AI, Adaptive Speculative Decoding, and Physics-Based Digital Twins](https://stateai.substack.com/p/graph-based-agentic-ai-adaptive-speculative) _2026-08-06 · State of AI · State of AI_ This edition showcases a fascinating convergence of three major trends reshaping AI systems: the infrastructure and governance challenges of building reliable, auditable agentic workflows; the practical engineering required to make inference faster and more cost-efficient at scale; ## [Gradient Bottlenecks, Token Learning Dynamics, and Agentic Self-Evolution: Understanding LLM Training and Deployment](https://stateai.substack.com/p/gradient-bottlenecks-token-learning) _2026-07-13 · State of AI · State of AI_ Welcome to today‘s edition of State of AI 👋 ## [Recursive Evidence Replay for Long-Context Reasoning, Multi-Turn Red Teaming for Code Security, and Neuron-Aware LLM Optimization](https://stateai.substack.com/p/recursive-evidence-replay-for-long) _2026-07-06 · State of AI · State of AI_ Welcome to today‘s edition of State of AI 👋 ## [Benchmark Saturation, Self-Evolving Agents, and Trillion-Parameter Performance at 35B Scale](https://stateai.substack.com/p/benchmark-saturation-self-evolving) _2026-06-30 · State of AI · State of AI_ Welcome to today‘s edition of State of AI 👋 ## [Diffusion Models Meet Reasoning: Learning to Schedule, Search, and Synthesize](https://stateai.substack.com/p/diffusion-models-meet-reasoning-learning) _2026-06-23 · State of AI · State of AI_ This week brings advances in how we train and optimize AI systems across reasoning, robotics, and multimodal domains. We‘re seeing a shift toward learning when and how to use compute primitives, from scheduling token generation in diffusion models to adaptively invoking code in vision-language systems. ## [Audio Reasoning, Hallucination Mitigation, and Efficient Inference: From Chain-of-Thought Speech Models to INT8 Diffusion Transformers](https://stateai.substack.com/p/audio-reasoning-hallucination-mitigation) _2026-06-15 · State of AI · State of AI_ Welcome to today’s edition of State of AI 👋 ## [Point once, get highlights (Sponsored)](https://crawlproof.com/a/erUkYdEhE1KH) _2026-06-15 · **Sponsored**_ Get minutes worth watching from a whole game — point once ## [Hyperbolic Embeddings, Sparse Attention Kernels, and Diffusion-Based Retrieval: Three Breakthroughs in Scaling AI Systems](https://stateai.substack.com/p/hyperbolic-embeddings-sparse-attention) _2026-06-08 · State of AI · State of AI_ Welcome to today’s edition of State of AI 👋 This week brings a fascinating convergence: researchers are fundamentally rethinking how we represent knowledge in retrieval systems (moving from Euclidean to hyperbolic geometry), how we optimize inference efficiency (through programmable sparse attention and cross-layer routing), and how we augment language models with dynamic retrieval (leveraging…