Ghost Autonomy: $5 Million Raised From OpenAI Startup Fund

This funding round will accelerate ongoing research and development of LLM-based complex scene understanding required for urban autonomy. The new investment brings the companys total funding to $220 million.MLLMs represent a new self-driving software architecture capable of handling the long tail of rare and complex driving scenarios. Where existing single-task networks have been limited to their narrow scope and training, LLMs allow autonomous driving systems to reason about driving scenes holistically, utilizing broad-based world knowledge to navigate complex and unusual situations, even those never seen before.Ghosts platform enables leading automakers to bring artificial intelligence and advanced autonomous driving software into the next generation of vehicles, now expanding capabilities and use cases with MLLMs. And Ghost is actively testing these capabilities via its development fleet today and is partnering with automakers to jointly validate and integrate new large models into the autonomy stack.Multi-modal models have the potential to expand the applicability of LLMs to many new use cases including autonomy and automotive. Brad Lightcap, OpenAIs COO and manager of the OpenAI Startup FundSolving complex urban driving scenarios in a scalable way has long been the holy grail for this industry LLMs provide a breakthrough that will finally enable everyday consumer vehicles to reason about and navigate through the toughest scenarios.