Research Explainers 9 min read Free

Agent Reliability Is a Runtime Problem

A preprint argues that agent reliability is governed by the runtime harness around the model: execution, tools, context, state, lifecycle policy, and evaluation. The framework gives teams a way to reason about reliability beyond benchmark scores.
AI 6 min read Free

AI Moves the Bottleneck Back to the Physical World

Abhay Venkatesh's AI economy report argues that frontier AI may concentrate around scarce compute, capital, energy, and lab capacity.
Research Explainers 8 min read Free

AI Automates Workflows, Not Tasks

A paper argues that AI automation depends less on isolated task exposure and more on whether AI-capable steps sit next to each other in a workflow. The workflow graph becomes the right unit for estimating exposure, redesign, and value.
Research Explainers 8 min read Free

Do Not Make the LLM the Enterprise Runtime

A paper argues that enterprise AI should use language models as bounded interfaces while knowledge, rules, and repeatable computation live in explicit systems. The design keeps outputs auditable, deterministic where needed, and easier to govern.
Research Explainers 7 min read Free

Agents Should Compile Workflows, Not Replay Them

A paper argues that repeated agent workflows should be compiled into reusable MCP blueprints instead of re-reasoned from scratch every time. Compilation reduces repeated inference while preserving validation, portability, and a path back to source intent.
Research Explainers 8 min read Free

Fast Decoding Does Not Make an Agent

Diffusion language models promise faster generation, but a paper shows why speed does not yet translate into reliable planning, tool use, or agent behavior. The gap comes from weak sequential control, state management, and verification under iterative work.
Digest 5 min read Free

Daily Digest - 2026-05-28

1. [AINews] Anthropic raises $965B Series H, releases Opus 4.8 and Dynamic Workflows/ultracode — AINews Why read: Anthropic is operating at a scale that...
Research Explainers 9 min read Free

Self-Improvement Needs a P&L

AlphaFund's whitepaper reframes recursive self-improvement as a measurable capital-allocation loop: create more edge than you lose, then reinvest the gains. The framework turns improvement into an investment decision governed by measurable returns and downside.

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