Verified claim · AI-ML · 100% confidence
Apple Foundation Models publicly released on: 2024-06-10 by Apple — Apple Intelligence foundation models announced at WWDC 2024 (on-device + Private Cloud Compute).
Last verified 2026-05-16 · Methodology veritas-v0.1 · a51600b7fa174a8e
Structured fields
- Subject
- Apple Foundation Models
- Predicate
publicly_released_on- Object
- 2024-06-10 by Apple — Apple Intelligence foundation models announced at WWDC 2024 (on-device + Private Cloud Compute)
- Confidence
- 100%
- Tags
- apple-foundation-models · apple · on-device · private-cloud-compute · released_on · 2024
Sources (2)
[1] official blog · Apple Machine Learning Research · 2024-06-10
Introducing Apple's On-Device and Server Foundation Models“At WWDC 2024 we announced Apple Intelligence — a deeply integrated, personal intelligence system that puts powerful generative models at the core of iPhone, iPad, and Mac, built on Apple Foundation Models.”
[2] docs · Apple · 2024-06-10
Apple Intelligence — official product page
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Apple Foundation Models publicly released on: 2024-06-10 by Apple — Apple Intelligence foundation models announced at WWDC 2024 (on-device + Private Cloud Compute). — SourceScore Claim a51600b7fa174a8e (verified 2026-05-16). https://sourcescore.org/api/v1/claims/a51600b7fa174a8e.jsonEmbed this claim
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Frequently asked questions
Is the claim "Apple Foundation Models publicly released on: 2024-06-10 by Apple — Apple Intelligence foundation models announced at WWDC 2024 (on-device + Private Cloud Compute)." 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 "Apple Foundation Models publicly released on: 2024-06-10 by Apple — Apple Intelligence foundation models announced at WWDC 2024 (on-device + Private Cloud Compute)."?
Evidence comes from 2 primary sources: Apple Machine Learning Research, Apple. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/a51600b7fa174a8e.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/a51600b7fa174a8e.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.
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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/a51600b7fa174a8e.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/a51600b7fa174a8e.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Apple Foundation Models publicly released on: 2024-06-10 by Apple — Apple Intelligence foundation models announced at WWDC 2024 (on-device + Private Cloud Compute)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/a51600b7fa174a8e.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Apple Foundation Models publicly released on: 2024-06-10 by Apple — Apple Intelligence foundation models announced at WWDC 2024 (on-device + Private Cloud Compute)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_apple_foundation_models_fact() -> dict:
"""Fetch the verified SourceScore claim for Apple Foundation Models."""
r = httpx.get("https://sourcescore.org/api/v1/claims/a51600b7fa174a8e.json")
return r.json()