SourceScore

Verified claim · AI-ML · 100% confidence

Sora (OpenAI video generation model) announced on: 2024-02-15.

Last verified 2026-05-16 · Methodology veritas-v0.1 · 5697b2a15693e6c0

Structured fields

Subject
Sora (OpenAI video generation model)
Predicate
announced_on
Object
2024-02-15
Confidence
100%
Tags
sora · openai · video-generation · 2024

Sources (1)

  1. [1] official blog · OpenAI · 2024-02-15

    Sora
    We're teaching AI to understand and simulate the physical world in motion, with the goal of training models that help people solve problems that require real-world interaction.

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Sora (OpenAI video generation model) announced on: 2024-02-15. — SourceScore Claim 5697b2a15693e6c0 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/5697b2a15693e6c0.json

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<iframe src="https://sourcescore.org/embed/claim/5697b2a15693e6c0/" width="100%" height="360" frameborder="0" loading="lazy" title="Sora (OpenAI video generation model) announced on: 2024-02-15."></iframe>

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JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/5697b2a15693e6c0.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "Sora (OpenAI video generation model) announced on: 2024-02-15."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/5697b2a15693e6c0.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Sora (OpenAI video generation model) announced on: 2024-02-15."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_sora_openai_video_generation_model_fact() -> dict: """Fetch the verified SourceScore claim for Sora (OpenAI video generation model).""" r = httpx.get("https://sourcescore.org/api/v1/claims/5697b2a15693e6c0.json") return r.json()