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MSD / Research / RESEARCH EDITION
ReAct examines how language models can connect intermediate steps with actions in an environment. Tools provide new observations for further steps.
Jetzt eintauchen ↓RECHERCHESTAND 12.11.2026 · FAKTEN + EINORDNUNG + SZENARIENKI & Agenten
External research · MSD classification
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01 / EINORDNUNG
Benchmark successes do not replace authorization checks or reliable error handling in ERP.
Log every action with input data, tool response and release rule.
This derivation is an editorial recommendation from MSD. It is not a further result of the study cited.
Yao et al. · ReAct · Publikations-/Bezugsjahr 2022. Recherchiert am 12.11.2026.
Read primary source ↗External research, not an MSD customer reference. We will only publish our own experiments with their setup, date, measurements and documented failed attempts.
02 / LINKS
In a randomised trial with 16 experienced developers and 246 tasks, early-2025 AI tools increased completion time by 19%. Participants perceived their benefit much more favourably.
METR · Randomised trialMETR describes a follow-up experiment in February 2026. Evidence of faster work is difficult to interpret due to selection of participants and tasks as well as problems with time measurement.
METR · Methodenupdate 24.02.2026The Transformer paper presents an attention-based architecture for sequence processing. It is a methodological building block of later language and multimodal models.
Vaswani et al. · Attention Is All You Need