Verified claim · AI-ML · 100% confidence
Inception Labs Mercury publicly released on: 2025-02-26 by Inception Labs — first commercial diffusion LLM (dLLM), Mercury Coder Small + Mini.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 25e17b81487f4bf7
Structured fields
- Subject
- Inception Labs Mercury
- Predicate
publicly_released_on- Object
- 2025-02-26 by Inception Labs — first commercial diffusion LLM (dLLM), Mercury Coder Small + Mini
- Confidence
- 100%
- Tags
- mercury · inception-labs · diffusion-llm · novel-architecture · released_on · 2025
Sources (2)
[1] official blog · Inception Labs · 2025-02-26
Announcing Mercury — the first commercial diffusion LLM“Mercury is the first commercial-scale diffusion large language model (dLLM), producing tokens via iterative denoising rather than autoregressive generation — 10× faster than comparable autoregressive models.”
[2] docs · Inception Labs · 2025-02-26
Mercury Coder — official chat playground
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Inception Labs Mercury publicly released on: 2025-02-26 by Inception Labs — first commercial diffusion LLM (dLLM), Mercury Coder Small + Mini. — SourceScore Claim 25e17b81487f4bf7 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/25e17b81487f4bf7.jsonEmbed this claim
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Frequently asked questions
Is the claim "Inception Labs Mercury publicly released on: 2025-02-26 by Inception Labs — first commercial diffusion LLM (dLLM), Mercury Coder Small + Mini." 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 "Inception Labs Mercury publicly released on: 2025-02-26 by Inception Labs — first commercial diffusion LLM (dLLM), Mercury Coder Small + Mini."?
Evidence comes from 2 primary sources: Inception Labs, Inception Labs. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/25e17b81487f4bf7.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/25e17b81487f4bf7.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/25e17b81487f4bf7.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/25e17b81487f4bf7.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Inception Labs Mercury publicly released on: 2025-02-26 by Inception Labs — first commercial diffusion LLM (dLLM), Mercury Coder Small + Mini."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/25e17b81487f4bf7.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Inception Labs Mercury publicly released on: 2025-02-26 by Inception Labs — first commercial diffusion LLM (dLLM), Mercury Coder Small + Mini."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_inception_labs_mercury_fact() -> dict:
"""Fetch the verified SourceScore claim for Inception Labs Mercury."""
r = httpx.get("https://sourcescore.org/api/v1/claims/25e17b81487f4bf7.json")
return r.json()