Chronological history of learning transferable visual models from natural language supervision. Key events, milestones, sentiment shifts, first appearances, and patent filings with full provenance.
Results synthesized from web crawls, academic citations (Semantic Scholar), patent filings (USPTO), corporate ownership records (SEC EDGAR, Companies House), software dependency graphs (npm, PyPI, crates.io), infrastructure records (DNS, TLS certificates, IP ranges), temporal archives (Wayback Machine), government datasets (Data.gov), and conversational sources (Hacker News, Reddit).