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Ghost Autonomy believes multimodal language models could be the key to solving the 'Holy Grail' of self-driving cars: full autonomy
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San Francisco-based Ghost Autonomy is developing software to potentially solve the thorniest problem in self-driving vehicles: navigating complex situations and unusual incidents. Its approach is to use multimodal large language models (LLMs) to achieve this ‘Holy Grail’ of self-driving cars.
“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,” the startup said in a press release.
Ghost Autonomy landed a coveted $5 million investment from the OpenAI Startup Fund, which OpenAI said is capped at $100 million and accessible only to a small number of AI startups “that can have a transformative effect.” The chosen few will get OpenAI technical support and Azure credits.
Ghost Autonomy said it will use the funds to accelerate ongoing research and development of LLM-based complex scene understanding.
OpenAI’s support comes after California ordered GM’s Cruise autonomous vehicle unit to remove its cars from state roads after regulators said they were “not safe” and that Cruise “misrepresented” the safety of its cars.
Stability AI has secured $50 million in debt financing in the form of a convertible note, with chipmaking giant Intel leading the investment, according to Bloomberg.
The startup, most known for commercializing popular image generation AI model Stable Diffusion, has had a turbulent few months. In June, it lost senior staff, including its head of research and COO. Other senior team members would later depart, including its head of human resources.
Bloomberg said that major backer Coatue Management took issue with Stability CEO Emad Mostaque's leadership, sending lawyers to board meetings and proposing the idea of a co-CEO for the company. Lightspeed Venture Partners' Gaurav Gupta also left his board observer role at Stability over differences in the direction of the company.
Stability AI is spending $8 million a month on computing costs and salaries while bringing in a fraction of the amount in revenue. In July, Stability told Bloomberg that is revenue forecast of $10 million had fallen as it focuses on R&D. But last week, the startup told the news outlet that revenue has risen 10-fold over the last year and is on track for even higher growth.
IBM’s venture arm has launched a new $500 million fund to invest in AI startups.
The Enterprise AI Venture Fund will see the company partner with “the next generation of great enterprise technology companies – in AI and beyond.”
IBM was among the backers of the popular open source AI platform Hugging Face in its $235 million series D round. The company also recently invested in the series A round of HiddenLayer, which is building software security tools. And IBM also snapped up Manta Software in late October, to integrate the data lineage platform into watsonX.
Newly emerging from stealth, Black Ore launched an AI platform for financial services and introduced its first product, Tax Autopilot, offering autonomous tax prep services for certified public accountants and accounting firms. It is based in Austin, Texas.
Latest funding: $60 million, seed round
Lead investors: a16z, Oak HC/FT
Funding plans: The company plans to use the funds to onboard new customers, grow its team and accelerate the development of additional AI products across financial services.
Estonian startup Fyma develops software designed to be universally compatible with IP cameras to deliver real-time analysis of video feeds.
Latest funding: $2.1 million
Lead investor: Quadri Ventures
Other investors: Second Century Ventures
Funding plans: Fyma plans to use the investment to move its primary headquarters to the U.K., upgrade its AI analysis product to support commercial real estate developers and fuel its go-to-market strategy.
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