SourceScore

Verified claim · AI-ML · 100% confidence

NotebookLM publicly released on: 2023-07-12 by Google Labs — AI research assistant grounding responses in user-uploaded source material.

Last verified 2026-05-16 · Methodology veritas-v0.1 · f8fb76bf3685dcae

Structured fields

Subject
NotebookLM
Predicate
publicly_released_on
Object
2023-07-12 by Google Labs — AI research assistant grounding responses in user-uploaded source material
Confidence
100%
Tags
notebooklm · google · rag · research-assistant · released_on · 2023

Sources (2)

  1. [1] official blog · Google · 2023-07-12

    NotebookLM: How to try Google's experimental AI-first notebook
    NotebookLM is an experimental product designed to use the power and promise of language models paired with your existing content to gain critical insights, faster.
  2. [2] docs · Google · 2023-07-12

    NotebookLM — official product page

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NotebookLM publicly released on: 2023-07-12 by Google Labs — AI research assistant grounding responses in user-uploaded source material. — SourceScore Claim f8fb76bf3685dcae (verified 2026-05-16). https://sourcescore.org/api/v1/claims/f8fb76bf3685dcae.json

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Frequently asked questions

Is the claim "NotebookLM publicly released on: 2023-07-12 by Google Labs — AI research assistant grounding responses in user-uploaded source material." verified?

Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.

What is the evidence for "NotebookLM publicly released on: 2023-07-12 by Google Labs — AI research assistant grounding responses in user-uploaded source material."?

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When was this claim last verified by SourceScore?

Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.

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JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/f8fb76bf3685dcae.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "NotebookLM publicly released on: 2023-07-12 by Google Labs — AI research assistant grounding responses in user-uploaded source material."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/f8fb76bf3685dcae.json") envelope = r.json() print(envelope["claim"]["statement"]) # "NotebookLM publicly released on: 2023-07-12 by Google Labs — AI research assistant grounding responses in user-uploaded source material."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_notebooklm_fact() -> dict: """Fetch the verified SourceScore claim for NotebookLM.""" r = httpx.get("https://sourcescore.org/api/v1/claims/f8fb76bf3685dcae.json") return r.json()