Near Protocol 公布了构建世界上最大的开源人工智能模型的雄心勃勃的计划

1.4 万亿参数模型将比 Meta 当前的开源 Llama 模型大 3.5 倍。

Layer-1 blockchain Near Protocol (NEAR) has announced plans to build the world’s largest open-source artificial intelligence (AI) model during the opening day of its Redacted conference in Bangkok, Thailand.

Layer-1 区块链近协议 (NEAR) 在泰国曼谷举行的 Redacted 会议开幕当天宣布，计划建立世界上最大的开源人工智能 (AI) 模型。

The 1.4 trillion parameter model will be 3.5 times larger than Meta’s (META) current open-source Llama model. It will be created through competitive crowdsourced research and development (R&D) from thousands of contributors on the new Near AI Research hub.

1.4万亿参数模型将是Meta（META）当前开源Llama模型的3.5倍。它将通过新的近人工智能研究中心的数千名贡献者的竞争性众包研究和开发 (R&D) 来创建。

Participants will be able to join the training of a small 500 million parameter model starting on Nov. 10. Near’s AI models will grow in size and sophistication across seven models. Only the best contributors will make the leap to working on progressively more complex and larger models.

从 11 月 10 日开始，参与者将能够参加一个包含 5 亿参数的小型模型的训练。Near 的人工智能模型将在七个模型中不断扩大规模和复杂程度。只有最优秀的贡献者才能跨越式发展，致力于逐渐变得更加复杂和更大的模型。

The models will be monetized, and privacy will be preserved via the use of encrypted Trusted Execution Environments (TEE) to reward contributors and encourage constant updating as the technology progresses.

这些模型将被货币化，并且通过使用加密的可信执行环境（TEE）来保护隐私，以奖励贡献者并鼓励随着技术的进步不断更新。

The project will be funded with token sales, Near co-founder Illia Polosukhin told Cointelegraph at the Redacted conference in Bangkok.

Near 联合创始人 Illia Polosukhin 在曼谷举行的 Redacted 会议上告诉 Cointelegraph，该项目将通过代币销售获得资金。

“It costs about $160 million, so it’s a lot, obviously, but actually, in crypto, it is raiseable money,” he said. Near is one of the few crypto projects with the ability to realize such an ambitious undertaking: Polosukhin was one of the authors of the groundbreaking transformer research paper that led to ChatGPT, and co-founder Alex Skidanov worked at OpenAI in the lead-up to the era-defining model’s release in late 2022.

“它的成本约为 1.6 亿美元，显然这是一个很大的数字，但实际上，在加密货币领域，这是可以筹集的资金，”他说。 Near 是少数几个有能力实现如此雄心勃勃的事业的加密项目之一：Polosukhin 是导致 ChatGPT 的开创性变压器研究论文的作者之一，联合创始人 Alex Skidanov 在 OpenAI 的筹备工作中工作过。这款划时代的车型将于 2022 年底发布。

Skidanov, who now heads up Near AI, conceded that training a model of this size and complexity would be a massive undertaking with a big hurdle to overcome.

现任近人工智能负责人斯基丹诺夫承认，训练如此规模和复杂性的模型将是一项艰巨的任务，需要克服很大的障碍。

“To train a model of this size, you’d need tens of thousands of GPUs in one place, which wouldn’t be ideal. But to use a decentralized network of compute you’d need a new technology that doesn’t exist today because all the distributed training techniques we have require very fast interconnect,” he said.

“要训练这种规模的模型，您需要在一个地方放置数万个 GPU，这并不理想。但要使用去中心化的计算网络，你需要一种目前还不存在的新技术，因为我们拥有的所有分布式训练技术都需要非常快速的互连，”他说。

However, Skidanov added that emerging research from Deep Mind suggests it is possible.

然而，斯基达诺夫补充说，Deep Mind 的最新研究表明这是可能的。

“There is some emerging research from Deep Mind that shows you can actually do distributed training over slow interconnect with a technique called pipeline parallelism,” he said.

“Deep Mind 的一些新兴研究表明，您实际上可以使用一种称为管道并行性的技术通过慢速互连进行分布式训练，”他说。

Polosukhin said he hasn’t spoken with existing projects like the Artificial Superintelligence Alliance but would be happy to see if there are synergies.

波洛苏欣表示，他尚未与人工超级智能联盟等现有项目进行过交谈，但很高兴看到是否存在协同效应。

“Whatever happens, decentralized AI technology must win for all our sake. We had Edward Snowden as a guest speaker at the conference, and he painted a scary portrait of centralized AI turning the world into a giant surveillance state,” he said.

“无论发生什么，去中心化人工智能技术都必须为了我们所有人而获胜。我们请爱德华·斯诺登作为会议的演讲嘉宾，他描绘了一幅集中式人工智能将世界变成一个巨大监视状态的可怕肖像，”他说。

“This is probably the most important technology right now and probably in the future. And the reality is, if AI is controlled by one company, we effectively are going to do whatever that company says,” Snowden explained.

“这可能是现在最重要的技术，也可能是未来最重要的技术。现实是，如果人工智能由一家公司控制，我们实际上就会按照该公司所说的去做，”斯诺登解释道。