根據其聯合創始人Travis Good的說法，一種新的人工智能區塊鏈具有Andreseen Horowitz的背景，“最終被設計為比特幣的替代品”。

牽強的主張源於良好的預後不變的現實：比特幣的加密機制是“真正陳舊的”，並且可以在五年內完全過時，為背後的礦工造就了業務難題。

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.

根據其聯合創始人Travis Good的說法，與Andreessen Horowitz的背景相關的新型人工智能區塊鍊是“最終被設計為比特幣的替代品”。

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.

牽強的主張源於良好的預後不變的現實：比特幣的加密機制是“真正陳舊的”，並且可以在五年內完全過時，為背後的礦工造就了業務難題。

"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會議上說：“您已經有一些人投入了數十億美元的哈希力量來確保ASIC的網絡。” “問題就像，他們都去哪兒了？”

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.

他的回答是環境，這是一個在AI領域具有深厚能力的區塊鏈 - 正如Good所說，“未來經濟”可能會成為“對Openai的分散競爭對手”。他說，該網絡採用工作證明機制，對比特幣礦工的吸引力熟悉，這使其很容易轉換。

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

古德說：“這是工作網絡的有用證明，我們認為這在加密貨幣中做得不好。”

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.

許多加密項目都試圖將兩個嗡嗡的技術趨勢融合在一起，因為認為區塊鍊和分散的眾包可以比單數私人公司更好地推動AI促進人類交付。

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，最資金的最大資金之一。但是好的聲稱市場領導者非常缺乏，因為它實際上並未在區塊鏈上運行AI模型，儘管它最初是“成為全球計算機”。他的替代性環境將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.

比特幣礦工 - 更不用說用戶 - 實際上都會擁抱一個新的新網絡，這可能取決於環境的經濟成功。 Good尋求環境可以公開地快速，便宜和批判性地提供超級智能AI，以便用戶獲得他們付費的答案。

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

儘管環境的安全押韻與比特幣的押韻，但網絡本身像Solana一樣運行。

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從A16Z的加密加速器計劃以及Delphi Digital籌集了720萬美元的種子資金，Delphi Digital是VC世界上最飢餓的Crypto-AI交叉技術資金之一。

"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的風險投資夥伴Alex Golding說：“ Crypto中的每個人目前都在使用集中的AI為應用程序提供動力，為前端提供動力。”他認為這是一個很大的問題，因為它剝奪了用戶了解訓練模型的內容，並使他們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.

礦工（他們的獎勵機制的核心）的“驗證推論”充當了出處事實檢查者，確保了通過環境的答案源於人們使用的模型。

"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.

好的警告說：“如果您沒有驗證推論，就一定會變得堅固耐用，”又一次的警告說：“民族國家演員將毒害您的模特，只是做有趣的事情，就像我們與Lazarus看到的那樣，”朝鮮的黑客。