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Researchers found that models sometimes reason correctly in scratchpads while producing outputs inconsistent with that reasoning — raising questions about whether visible reasoning is the actual decision process.
— Directly relevant to your interest in AI safety tooling — the gap between stated and actual reasoning is the core problem you have been tracking.
The new in-process memory layer lets long-running agents maintain state across interruptions without Redis or a vector DB. Early benchmarks show 40% reduction in round-trip latency for multi-step pipelines.
— This lands exactly on the architecture problem you described — worth reading the migration guide before your next sprint.
The proportion of agent-infrastructure companies in the batch has doubled since S25. Most are targeting the orchestration and observability layer rather than foundation models.
— The segment you follow is now 7.5% of YC's intake — the market signal you were watching for is here.
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