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OpenAI said it will stop supplying its AI models to coding startup Cursor, effective Nov. 12, 2026, after SpaceX completed a $60 billion acquisition of Cursor earlier this month. Cursor CEO Michael Truell said OpenAI models handle about 5% of Cursor's user traffic and that talks are underway to resolve the dispute.
OpenAI announced it will end Cursor's access to its AI models by November 12, 2026, following SpaceXAI's acquisition of the coding assistant. The company said Cursor may set an earlier cutoff date if it prefers, but OpenAI will not extend access beyond that deadline.
A community developer has released an unofficial build that repackages Cursor's Electron-based Grok Bot app, officially available only for macOS and Windows, so it runs natively on Ubuntu and other Linux distributions. The project swaps out Windows-only native components and packages the app as a .deb, tarball, or AppImage, currently targeting Grok Bot version 0.29.0 on Electron 42.1.0.
Runable, a Bengaluru startup founded in 2025, has raised $21 million in a Series A round co-led by Susquehanna Venture Capital and Nexus Venture Partners, valuing it at $65 million post-money. The company started as an AI browser-scraping infrastructure tool but pivoted after users asked its agent to build slide decks and websites, and now aims to help small businesses find customers, run ad campaigns, and market themselves across search, social media, and chatbots.
At his first all-hands meeting following the acquisition of Cursor, Elon Musk reportedly told employees that AI will inevitably grow beyond human control, and argued this is precisely why his AI division must develop the technology before competitors do. The remarks, first reported by The Information, offer little logical justification for why being first matters if the outcome is unavoidable regardless of who builds it.
A blogger built a customer analytics drilldown dashboard using only a 40MB pre-aggregated Parquet 'data cube' stored in R2, an 18KB browser-based Hyparquet reader, and HTTP range requests, avoiding any database or query engine. The demo rolled up NYC's 34-million-row 311 service request dataset into a compact cube that supports fast filtering by reading only small slices of the file at a time.