Google · PaLM

PaLM 540B

READER SUMMARY

Google's 540-billion-parameter dense Pathways Language Model for few-shot language, reasoning, and code tasks.

DOOM SCORE34.6out of 100model risk profile, not the overall index

CURRENT ASSESSMENT · REVISION 1

Why this model scores 34.6

PaLM demonstrated frontier capability and scale but had little agency and no direct public deployment at the original result date. Closed access limited immediate misuse and control difficulty.

Capability55

Autonomy4

Deployment4

Misuse potential35

Control difficulty27

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MODEL-ATTRIBUTED EVIDENCE

News tied to PaLM 540B

The model score of 34.6 rates this model's risk profile. The overall Doom Index of 60.4 measures the recalibrated complete evidence corpus. These values answer different questions.

NET MODEL-ATTRIBUTED INDEX CONTRIBUTION+0.03

Each article's leave-one-out Doom Index contribution is divided equally among the exact models named on that article. This prevents multi-model evidence from being claimed in full on several model pages. Model risk scores are recalculated from their technical profile and related news, but never feed back into the overall index.

05 Apr 2022CapabilityTOWARD

Google publishes 540B PaLM language model

Google researchers published the 540-billion-parameter Pathways Language Model, reporting breakthrough few-shot reasoning, language, and code performance from training across two TPU v4 Pods.

Full item contribution: +0.03
PaLM 540B equal share: +0.03

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Model score history

R1
Doom Score 34.6
New exact Google research model with original timestamp and five evidence-based dimension inputs.
12 Aug 2026