Research Explainers 8 min read Free

Long Context Needs Recursion, Not Bigger Windows

Recursive Language Models argue that very long prompts should become an external environment the model can inspect, decompose, and recursively call itself over. Recursion converts context management from passive storage into an active reasoning process.
Research Explainers 7 min read Free

Agent Logs Should Be the System of Record

An agent architecture argues that the append-only event log should be the runtime's source of truth, not an observability layer bolted on afterward. That choice makes recovery, replay, observability, and policy enforcement part of one architecture.
Digest 5 min read Free

Daily Digest - 2026-05-27

1. Mastra Processors: The Guardrail Layer That Runs on Every Step — Matias Lapolla Why read: Why basic guardrails fail in agent loops and how to fix safety...
Research Explainers 12 min read Free

Synthetic Data Needs Recipes, Not Bigger Generators

FinePhrase shows that high-quality synthetic pretraining data comes from prompt recipes, mix-in strategy, output diversity, and data infrastructure, not simply larger generator models. The result is a repeatable engineering discipline for controlling quality, coverage, and cost.
Research Explainers 5 min read Free

The Harness Is the Reliability Layer

A survey argues that agent reliability depends as much on the execution harness as on the model and gives builders a vocabulary for the infrastructure surrounding agents. It organizes execution, context, state, tools, recovery, and evaluation into one reliability model.
Research Explainers 7 min read Free

Agents Need Reliability Tests After Day One

AgingBench argues that deployed agents can degrade as their memory state changes, so reliability needs lifespan testing rather than only day-one benchmarks. Its evaluation tests how accumulated state and environmental change affect performance over time.
AI 6 min read Free

The Infrastructure Correction: Why AI Is Rewiring the Software Stack

Redpoint's InfraRed report argues that AI value is shifting from thin application wrappers into infrastructure: post-training, inference, agents, security, sandboxes, observability, and compute.
Research Explainers 7 min read Free

Long-Context Models Need Time to Consolidate

Language Models Need Sleep argues that long-context systems may require offline consolidation time, not merely larger memory, to reason over context they can no longer attend to. The analogy motivates architectures that compress experience between active reasoning cycles.

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