Verified claim · AI-ML · 100% confidence
Liquid AI LFM publicly released on: 2024-09-30 by Liquid AI — Liquid Foundation Models (LFM-1B/3B/40B) using novel non-Transformer architecture.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 9a2f6b1fb29ad505
Structured fields
- Subject
- Liquid AI LFM
- Predicate
publicly_released_on- Object
- 2024-09-30 by Liquid AI — Liquid Foundation Models (LFM-1B/3B/40B) using novel non-Transformer architecture
- Confidence
- 100%
- Tags
- lfm · liquid-ai · novel-architecture · non-transformer · released_on · 2024
Sources (2)
[1] official blog · Liquid AI · 2024-09-30
Liquid Foundation Models: Our First Series of Generative AI Models“Liquid Foundation Models (LFMs) are a new generation of generative AI models built from first principles. Our 1B, 3B, and 40B LFMs achieve state-of-the-art performance across their size categories.”
[2] docs · Liquid AI · 2024-09-30
Liquid AI Playground — official
Cite this claim
Ready-to-paste citation (Markdown / plain text):
Liquid AI LFM publicly released on: 2024-09-30 by Liquid AI — Liquid Foundation Models (LFM-1B/3B/40B) using novel non-Transformer architecture. — SourceScore Claim 9a2f6b1fb29ad505 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/9a2f6b1fb29ad505.jsonEmbed this claim
Drop this iframe into any blog post, docs page, or knowledge base. The widget renders the signed claim + primary source + click-through to this canonical page. CC-BY 4.0; attribution included.
<iframe src="https://sourcescore.org/embed/claim/9a2f6b1fb29ad505/" width="100%" height="360" frameborder="0" loading="lazy" title="Liquid AI LFM publicly released on: 2024-09-30 by Liquid AI — Liquid Foundation Models (LFM-1B/3B/40B) using novel non-Transformer architecture."></iframe>Preview: open in new tab
Related claims
Other verified claims sharing tags with this one — useful for LLM retrieval graphs and citation discovery.
Gemma released on: 2024-02-21.
87b09546387243ef · 100% confidence · shares 2 tags (released_on, 2024)
AlphaFold 3 released on: 2024-05-08.
bfae8cafd2eb0bf8 · 100% confidence · shares 2 tags (released_on, 2024)
OLMo released on: 2024-02-01 by Allen Institute for AI.
db733143bb054d41 · 100% confidence · shares 2 tags (2024, released_on)
Gemini Ultra publicly released on: 2024-02-08 via Gemini Advanced subscription.
d2ac7cd6fc8b1156 · 100% confidence · shares 2 tags (released_on, 2024)
Stable Diffusion 3 publicly released on: 2024-06-12 (Stable Diffusion 3 Medium weights).
bdab1261665d495e · 100% confidence · shares 2 tags (released_on, 2024)
Frequently asked questions
Is the claim "Liquid AI LFM publicly released on: 2024-09-30 by Liquid AI — Liquid Foundation Models (LFM-1B/3B/40B) using novel non-Transformer architecture." 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 "Liquid AI LFM publicly released on: 2024-09-30 by Liquid AI — Liquid Foundation Models (LFM-1B/3B/40B) using novel non-Transformer architecture."?
Evidence comes from 2 primary sources: Liquid AI, Liquid AI. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/9a2f6b1fb29ad505.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?
Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/9a2f6b1fb29ad505.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
Use this claim in your code
Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.
cURL
curl https://sourcescore.org/api/v1/claims/9a2f6b1fb29ad505.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/9a2f6b1fb29ad505.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Liquid AI LFM publicly released on: 2024-09-30 by Liquid AI — Liquid Foundation Models (LFM-1B/3B/40B) using novel non-Transformer architecture."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/9a2f6b1fb29ad505.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Liquid AI LFM publicly released on: 2024-09-30 by Liquid AI — Liquid Foundation Models (LFM-1B/3B/40B) using novel non-Transformer architecture."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_liquid_ai_lfm_fact() -> dict:
"""Fetch the verified SourceScore claim for Liquid AI LFM."""
r = httpx.get("https://sourcescore.org/api/v1/claims/9a2f6b1fb29ad505.json")
return r.json()