根据其联合创始人Travis Good的说法，一种新的人工智能区块链具有Andreseen Horowitz的背景，“最终被设计为比特币的替代品”。

牵强的主张源于良好的预后不变的现实：比特币的加密机制是“真正陈旧的”，并且可以在五年内完全过时，为背后的矿工造就了业务难题。

A new artificial intelligence-infused blockchain with Andreessen Horowitz's backing is "ultimately designed as a replacement for Bitcoin," according to its co-founder Travis Good.

根据其联合创始人Travis Good的说法，与Andreessen Horowitz的背景相关的新型人工智能区块链是“最终被设计为比特币的替代品”。

The far-fetched claim is rooted in what Good prognosticates as unvarnished reality: Bitcoin's encryption mechanisms are "getting really stale" and could be "completely obsolete within five years," creating a business conundrum for the miners behind it.

牵强的主张源于良好的预后不变的现实：比特币的加密机制是“真正陈旧的”，并且可以在五年内完全过时，为背后的矿工造就了业务难题。

"You've got people who've invested billions of dollars in hash power for securing a network in ASICs," he said at this year's ethDenver conference, where topics like Web3, the metaverse and the future of crypto were discussed. "And the question is like, where do they all go?"

他在今年的Ethdenver会议上说：“您已经有一些人投入了数十亿美元的哈希力量来确保ASIC的网络。” “问题就像，他们都去哪儿了？”

His answer is Ambient, a blockchain with deep capabilities in the AI space – the "future economy," as Good puts it – that could become a "decentralized competitor to OpenAI." The network operates on a proof-of-work mechanism with familiar appeal to bitcoin miners, he said, making it an easy switch.

他的回答是环境，这是一个在AI领域具有深厚能力的区块链 - 正如Good所说，“未来经济”可能会成为“对Openai的分散竞争对手”。他说，该网络采用工作证明机制，对比特币矿工的吸引力熟悉，这使其很容易转换。

"It's a useful proof of work network, which we don't think anyone has ever done well in crypto," Good said.

古德说：“这是工作网络的有用证明，我们认为这在加密货币中做得不好。”

Many crypto projects have attempted to fuse the two buzzy tech trends on the belief that blockchains and decentralized crowdsourcing can steer AI better toward delivering for humanity than singular, private corporations possibly could.

许多加密项目都试图将两个嗡嗡的技术趋势融合在一起，因为认为区块链和分散的众包可以比单数私人公司更好地推动AI促进人类交付。

One of the biggest and best-funded is Bittensor. But Good claims the market leader is woefully deficient because it doesn't actually run AI models on blockchain, despite its original intention to "be this global computer." His alternative, Ambient, cooks AI into its core.

Bittensor是最大，最资金的最大资金之一。但是好的声称市场领导者非常缺乏，因为它实际上并未在区块链上运行AI模型，尽管它最初是“成为全球计算机”。他的替代性环境将AI煮成其核心。

Whether Bitcoin miners – let alone users – would actually embrace a radically new and different network likely hinges on Ambient's economic success. Good seeks for Ambient to deliver super-intelligent AI fast, cheap, and critically, in the open, so that users get the answers they paid for.

比特币矿工 - 更不用说用户 - 实际上都会拥抱一个新的新网络，这可能取决于环境的经济成功。 Good寻求环境可以公开地快速，便宜和批判性地提供超级智能AI，以便用户获得他们付费的答案。

While Ambient's security rhymes with Bitcoin's, the network itself runs like Solana.

尽管环境的安全押韵与比特币的押韵，但网络本身像Solana一样运行。

Ambient raised $7.2 million in seed funding from a16z's crypto accelerator program as well as Delphi Digital, one of the VC world's hungriest funds for crypto-AI crossover tech.

Ambient从A16Z的加密加速器计划以及Delphi Digital筹集了720万美元的种子资金，Delphi Digital是VC世界上最饥饿的Crypto-AI交叉技术资金之一。

"Everyone in crypto is currently using centralized AI to power their apps, to power their frontend," said Alex Golding, a venture associate at Delphi. He thinks that's a big issue because it deprives users of understanding what the models are trained on and exposes them to getting hoodwinked with answers derived from inferior models.

Delphi的风险投资伙伴Alex Golding说：“ Crypto中的每个人目前都在使用集中的AI为应用程序提供动力，为前端提供动力。”他认为这是一个很大的问题，因为它剥夺了用户了解训练模型的内容，并使他们受到了次要模型的答案的蒙蔽。

"Verified inference" by miners (the heart of their rewards mechanism) acts as a provenance fact-checker, ensuring that answers spat out by Ambient originate from the model people paid to use.

矿工（他们的奖励机制的核心）的“验证推论”充当了出处事实检查者，确保了通过环境的答案源于人们使用的模型。

"If you don't have verified inference, you're guaranteed to get rugged," Good said, adding a hyperbolic warning: "Nation state actors are going to poison your model and just do fun stuff, like we saw with Lazarus," North Korea's hackers.

好的警告说：“如果您没有验证推论，就一定会变得坚固耐用，”又一次的警告说：“民族国家演员将毒害您的模特，只是做有趣的事情，就像我们与Lazarus看到的那样，”朝鲜的黑客。