在2024年的SXSW（South by Southwest）活动上，OpenAI的消费产品副总裁彼得·邓明确表示，公司将继续提供ChatGPT的基础版本，并保证这一人工智能工具对用户的免费访问。邓先生强调，ChatGPT在解析莎士比亚戏剧的深意、为艺术家提供诚挚的反馈等方面，有着推动人类更深层次理解与表达的潜力，它能够“使我们变得更加人性化”。
邓先生透露，ChatGPT的免费服务将通过企业付费版本的收入进行补贴，确保广大用户能够不受限制地体验和利用这一创新技术。然而，当被问及艺术家是否应因其作品被用于训练OpenAI的神经网络和开发ChatGPT等工具而获得补偿时，邓先生并未给出直接答复，这引发了一些关于知识产权和创作者权益的讨论。
OpenAI的这一承诺表明了其在人工智能普惠性上的决心，同时也暗示了其商业模式正在探索如何平衡免费服务与可持续发展。随着ChatGPT等AI工具的广泛应用，如何公正地处理数据来源和创作者权益问题，将是未来行业需要面对的重要议题。
英语如下：
**News Title:** “OpenAI VP Confirms: ChatGPT Basic Version to Remain Free, Artist Compensation Issue Raises Concerns”
**Keywords:** OpenAI, ChatGPT, Free Usage
**News Content:**
### OpenAI Pledges to Keep ChatGPT Base Version Free, Fostering Human Connection
At the 2024 SXSW (South by Southwest) event, Peter Deng, OpenAI’s Vice President of Consumer Products, confirmed that the company will continue offering the base version of ChatGPT and ensure free access to the AI tool for users. Deng emphasized the potential of ChatGPT to deepen human understanding and expression, from deciphering Shakespeare’s plays to providing artists with genuine feedback, stating that it can “make us more human.”
Deng revealed that the free service of ChatGPT will be subsidized by revenue from enterprise-paid versions, ensuring that a broad user base can enjoy unrestricted access to the innovative technology. However, when questioned about compensating artists for their work used to train OpenAI’s neural networks and develop tools like ChatGPT, Deng did not provide a direct answer, sparking discussions around intellectual property and creators’ rights.
OpenAI’s commitment indicates its dedication to AI accessibility while suggesting that its business model is exploring how to balance free services with sustainable growth. As AI tools like ChatGPT become increasingly prevalent, addressing data sourcing and creators’ rights equitably will be a crucial issue for the industry to confront in the future.
【来源】https://www.inc.com/jennifer-conrad/openais-head-of-chatgpt-says-ai-will-make-humans-more-creative.html
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