a16z CSX 领投,一文读懂引入 PoL 共识的 Solana 分叉链 Ambient | CryptoSeed

链捕手Published on 2025-04-18Last updated on 2025-04-18

作者:Fairy,ChainCatcher

编辑:TB,ChainCatcher

 

在区块链和人工智能技术不断发展的今天,如何将这两者有效结合,已成为许多创新项目的目标之一。Ambient 正是在这一背景下应运而生,致力于将去中心化的区块链架构与超大规模AI推理相结合,探索一种新的智能经济模式。

作为 Solana 的完整分叉,Ambient 保留了 Solana 的高速和高效,并通过引入Logits 证明(PoL)机制,创造了一个全新的区块链生态系统。

Ambient是什么?

Ambient 是一条 Layer-1 区块链,它将 Solana SVM 兼容性与新颖的工作量证明机制融合在一起,提供超大规模的验证推理。Ambient项目的核心理念是将AI推理和区块链深度融合,创造一个去中心化的AI经济体。

与传统的权益证明(PoS)系统不同,Ambient 采用类似于比特币的激励机制,并为每个参与网络推理、微调或训练的节点提供可预测的利润。这种方式避免了对企业级GPU的依赖,通过基于交易和通胀的补偿方式,确保了矿工的可持续盈利。无论是矿工还是用户,都可以获得与其贡献相匹配的奖励,而平台的价值则随着网络的增长而不断提升。

Ambient的特点:

  • 高效的推理与安全性:提供完全验证的推理,开销低于1%,同时确保在庞大智能模型(600B+参数)及其微调版本上的高安全性。
  • 卓越的训练性能:训练性能比现有方法提高10倍,提升了AI模型的训练效率。
  • 矿工利用率高:通过在单一模型上进行优化,提升了矿工的利用率,增强了推理和验证过程的效率。
  • 非阻塞工作量证明共识:采用非阻塞的工作量证明机制,确保网络核心活动(推理、微调、训练)中的经济竞争,同时保持高TPS,避免了传统区块链的性能瓶颈。

Ambient团队背景及发展现状

除了创始人背景外,Ambient 暂未披露其他成员的信息。Ambient 的首席执行官兼创始人 Travis Good 拥有多样的学术背景,他的学术历程涵盖了政府学、经济学、计算机科学和机器学习四个领域。Travis 领导风格注重执行力和务实精神,他在推动技术创新时,始终坚持实际操作并关注可执行的解决方案。此外,Travis 在推特上非常活跃,经常分享自己对技术、创新以及行业趋势的独特见解。

4月1日,Ambient 完成 720 万美元种子轮融资,a16z CSX、Delphi Digital 以及Amber Group领投。Big Brain Holdings、Superscrypt、Proof Group、Rubik Ventures、Aethir Foundation、Edessa Capital 等参投。Ambient 计划在第二季度/第三季度推出测试网。

Logits 证明共识机制

“Logits 证明”算法利用了一个关键事实:logits (可以理解为逻辑单元)既是独特的指纹,又能通过模型生成过程中产生的哈希值有效地捕捉模型在特定时刻的“思维”状态(即模型‘流式’输出时)。在这一机制下,logits 证明的哈希值是每个输出 token 之前每组 logits 哈希值的哈希列表。简而言之,对于每个 token n,直到最终 token t,logits 证明的哈希值就是:

Hash(Hash(n) … Hash(t))

而logits 进度标记证明的哈希值则是生成 x 个 token 后的 logits 哈希,其中 x 位于 n 和 t 之间(包括 n 和 t),即:

Hash(n) … Hash(x) … Hash(t)

基于这一原理,可以构建一个验证机制:首先,矿工生成文本;接着,验证者在文本中随机选择一个词,并请求矿工提供该点的“思维状态”(即对应的 logits 进度标记证明哈希)。然后,验证者在相同的模型和上下文中对该词执行一次推理,生成自己的“思维状态”。如果两者的“思维状态”(通过哈希值表示)一致,验证则成功。

这种工作量证明机制与比特币的设计原则相一致:挖矿(在此例中,通过 4000 个 token 的推理反复执行模型)代价高昂,但验证过程却非常廉价(只需 1 个 token 的推理)。这一机制不仅提高了效率,还确保了验证的安全性和可靠性。

(本文只介绍早期项目,不作为投资建议。)

 

 

 

 

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