· 2 min read

273 Co-Founder, Jillian Bommarito, Appears on BBC to Discuss Musk vs OpenAI Lawsuit

273 Ventures Chief Risk Officer on the BBC World Business Report

273 Ventures Chief Risk Officer on the BBC World Business Report

On February 29th, Elon Musk sued OpenAI and its CEO, Sam Altman, in California Superior Court in San Francisco, alleging that they deviated from the company’s original non-profit, open-source mission aimed at developing artificial intelligence for humanity’s benefit rather than for profit. This action marks an escalation in Musk’s previously expressed concerns, accusing OpenAI of prioritizing financial gains over public good, particularly after the release of GPT-4 as a product closely associated with Microsoft.

273 Ventures’ co-founder and Chief Risk Officer, Jillian Bommarito, CPA, CIPP/US/E, was asked by the BBC World Business Report to offer insights into the possible reasons behind Elon Musk’s lawsuit against OpenAI.

Jillian suggested three plasuible motives -

  • First, with the advent of Google Gemini’s 1.5 and rumors of an imminent GPT-5 release, Musk might be aiming to prevent OpenAI’s technologies, particularly GPT-5, from becoming exclusive to Microsoft.

  • Second, the lawsuit could be part of Musk’s strategy to secure funding for his own AI company, xAI, making financial reasons the primary motivation behind the move.

  • Third, it may be a traditional business dispute. Jillian notes OpenAI’s evolution from a completely open-source, non-profit entity to one that has become more closed over time. Compare the release of GPT-2 in 2019 to the release of GPT-4 in 2023; both the research and model weights of GPT-2 were made open but neither have been made public for GPT-4. This shift conflicts with the organization’s founding principles and could be at the heart of Musk’s legal challenge.

Musk vs OpenAI Lawsuit

To hear Jillian further explain plausible reasons last week’s lawsuit was filed, jump ahead to 1:30 of BBC World Business Report.

ABOUT 273 VENTURES

The 273 Ventures team has developed the Kelvin Legal Data OS to organize and connect data from various structured and unstructured sources, including documents like contracts and briefs, timekeeping entries, and laws and rules. Kelvin ships with automation for legal-specific use cases, like due diligence and regulatory monitoring, as well as connectors for common systems like Aderant and TeamConnect. Kelvin is LLM-agnostic, with support for practically all commercially available large language models, including GPT-4, Claude, and Llama 2. Kelvin is a modern purpose-built platform specifically designed for the legal industry, with an emphasis on compliance with information security standards and data protection laws. Kelvin can run on your own physical server or private cloud, on a developer’s laptop, or in any public or hybrid cloud environment.

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