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] 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] 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.jsonEmbed this claim
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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.
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Evidence comes from 2 primary sources: Google, Google. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/f8fb76bf3685dcae.json includes an HMAC-SHA256 signature for audit verification.
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.
How can I cite this SourceScore claim in my code or article?
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cURL
curl https://sourcescore.org/api/v1/claims/f8fb76bf3685dcae.jsonJavaScript / 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()