AI地雷比特幣可以更快嗎？ 2025年AI驅動比特幣採礦的現實

本文闡明了2025年AI驅動的比特幣採礦的現實，將事實與小說區分開來，並詳細介紹了人工智能如何以意想不到的方式重塑採礦業。

In 2025, there’s a lot of hype around artificial intelligence, leading to the question: Can AI mine Bitcoin faster?

在2025年，人工智能周圍有很多炒作，導致了一個問題：AI礦山比特幣可以更快嗎？

While AI can’t speed up Bitcoin mining itself, it can make the process more innovative, efficient, and better timed, which is becoming increasingly valuable as mining gets more competitive.

儘管AI無法加快比特幣開采的速度，但它可以使過程更具創新性，高效且定時性，隨著採礦的競爭性越來越高，這一過程變得越來越有價值。

This article clarifies the realities of AI-powered Bitcoin mining in 2025, distinguishing fact from fiction and detailing how artificial intelligence is reshaping the mining industry in unexpected ways.

本文闡明了2025年AI驅動的比特幣採礦的現實，將事實與小說區分開來，並詳細介紹了人工智能如何以意想不到的方式重塑採礦業。

How Is Artificial Intelligence Used in Bitcoin Mining?

比特幣採礦中如何使用人工智能？

According to Marathon Digital CEO Fred Thiel, modern mining facilities, starting around 2024, are using AI to decide when to mine, how much to mine, and how to manage power use.

根據馬拉松數字首席執行官弗雷德·泰爾（Fred Thiel）的說法，從2024年左右開始的現代採礦設施正在使用AI決定何時開採，挖掘多少以及如何管理電力使用。

“We have A.I. systems that are looking at the price of energy and the difficulty of the chain to determine optimal output levels. We can modulate the hashrate up or down, and we're also making dynamic decisions about allocating power based on the relative cost of different energy sources.

“我們有AI系統正在查看能源價格和鏈條確定最佳輸出水平的難度。我們可以根據不同能源的相對成本來調整或向下調整哈希酸鹽，並且我們還做出了有關分配功率的動態決策。

So if a renewable energy certificate drops below a certain threshold, we'll switch over to that energy source. And if the price of natural gas futures goes up sharply, we'll decrease hashrate to avoid incurring high operating costs.

因此，如果可再生能源證書降至一定閾值以下，我們將切換到該能源。而且，如果天然氣期貨的價格急劇上漲，我們將降低哈希龍，以避免產生高昂的運營成本。

We're essentially creating a system where the mining operation is constantly adapting to market conditions in order to maximize profitability and sustainability.”

我們從本質上創建了一個系統，在該系統中，採礦業務不斷適應市場條件，以最大程度地提高盈利能力和可持續性。 ”

Here’s how this plays out in practice:

這是在實踐中的表現：

This setup is what Thiel describes as responsive mining, where the AI isn't doing the mining but makes the whole system more intelligent and adaptable.

這種設置是Thiel所說的響應式採礦，AI不做採礦，但使整個系統更加聰明和適應性。

The Role of Machine Learning In Bitcoin Mining Efficiency

機器學習在比特幣採礦效率中的作用

While AI can't help solve hashes, machine learning (ML) can improve everything else around the Bitcoin mining process.

雖然AI忍不住解決哈希，但機器學習（ML）可以改善比特幣採礦過程的其他所有內容。

These tools don't increase hash speed, but they reduce downtime, avoid losses, and improve margins which matters just as much.

這些工具不會提高哈希速度，但是減少了停機時間，避免損失並提高利潤率，這也同樣重要。

In 2023, researchers at Stanford explored using ML to predict and prevent blockchain downtime. They found that combining data on hashrate, transactions, and network activity enabled algorithms to anticipate downtime with high accuracy.

2023年，斯坦福大學的研究人員使用ML探索了預測和防止區塊鏈停機時間。他們發現，將有關哈希酸鹽，交易和網絡活動的數據結合起來，使算法能夠以很高的精度預測停機時間。

This matters because chain downtime is a loss for all miners, and anything reducing that is useful.

這很重要，因為鏈停機時間對所有礦工來說都是損失，並且任何減少有用的東西。

In 2025, ML is also being used to optimize cooling in large-scale mining facilities, minimizing energy use and reducing maintenance on ASICs.

在2025年，ML還用於優化大規模採礦設施中的冷卻，最大程度地減少能源使用並減少對ASIC的維護。

These techniques are largely focused on reducing operating costs and maximizing uptime, which are constant concerns for miners, especially as the industry becomes more competitive.

這些技術主要集中在降低運營成本和最大化正常運行時間上，這對礦工而言一直是不斷關注的問題，尤其是隨著行業變得更加競爭力。

Common Misconception: Can AI Mine Bitcoin Faster Than ASICs?

常見的誤解：AI礦山比特幣比ASIC更快嗎？

No, the SHA-256 algorithm, central to Bitcoin mining, cannot be bypassed or accelerated by AI. ASICs, with their dedicated hardware, are still magnitudes faster than any software algorithm for SHA-256 hashing.

不，SHA-256算法是比特幣開采的中心，無法通過AI繞過或加速。 ASIC及其專用硬件的幅度仍然比任何軟件算法的SHA-256 HASHING都要快。

Rather than replacing ASICs, AI is enhancing the intelligence of the mining process by determining optimal mining times, output levels, and power allocation. It transforms mining into a dynamic process responsive to energy costs, hardware status, and real-time grid conditions.

AI並沒有取代ASIC，而是通過確定最佳採礦時間，產出水平和電力分配來增強採礦過程的智能。它將採礦轉變為響應能源成本，硬件狀態和實時網格條件的動態過程。

In 2025, the narrative around AI in cryptocurrency mining focuses on optimizing execution rather than altering the fundamental mining process. Its role is integration and synergy, not upheaval.

在2025年，加密貨幣採礦中AI的敘述著重於優化執行，而不是改變基本採礦過程。它的作用是整合和協同作用，而不是動盪。

Key Takeaways

關鍵要點

In 2025, there’s a lot of hype around artificial intelligence, leading to the question: Can AI mine Bitcoin faster?

在2025年，人工智能周圍有很多炒作，導致了一個問題：AI礦山比特幣可以更快嗎？

While AI can’t speed up Bitcoin mining itself, it can make the process more innovative, efficient, and better timed, which is becoming increasingly valuable as mining gets more competitive.

儘管AI無法加快比特幣開采的速度，但它可以使過程更具創新性，高效且定時性，隨著採礦的競爭性越來越高，這一過程變得越來越有價值。

This article clarifies the realities of AI-powered Bitcoin mining in 2025, distinguishing fact from fiction and detailing how artificial intelligence is reshaping the mining industry in unexpected ways.

本文闡明了2025年AI驅動的比特幣採礦的現實，將事實與小說區分開來，並詳細介紹了人工智能如何以意想不到的方式重塑採礦業。

AI-powered Bitcoin Mining: Can AI Really Mine Bitcoin Faster?

AI驅動的比特幣採礦：AI真的可以更快地挖掘比特幣嗎？

According to Marathon Digital CEO Fred Thiel, modern mining facilities are using AI to decide when to mine, how much to mine, and how to manage power use.

根據馬拉松數字首席執行官弗雷德·泰爾（Fred Thiel）的說法，現代採礦設施正在使用人工智能決定何時開採，挖掘多少以及如何管理電力使用。

Here’s how it works in practice:

這是它在實踐中的工作方式：

Thiel refers to this kind of setup as a form of responsive mining where AI doesn’t do the mining but makes the whole system more intelligent and adaptable.

Thiel將這種設置稱為AI不做採礦的一種響應式採礦形式，但使整個系統更加聰明和適應性。

The Role of Machine Learning in Bitcoin Mining Efficiency

機器學習在比特幣採礦效率中的作用

While AI can’t help solve hashes, machine learning (ML) can improve everything else around the Bitcoin mining process.

雖然AI忍不住解決哈希，但機器學習（ML）可以改善比特幣採礦過程的其他所有內容。

These tools don’t increase hash speed, but they reduce downtime, avoid losses, and improve margins which matters just as much.

這些工具不會提高哈希速度，但是減少了停機時間，避免損失並提高利潤率，這也同樣重要。

In 2023, researchers at Stanford explored using ML to predict and prevent blockchain downtime. They found that combining data on hashrate, transactions, and network activity enabled algorithms to anticipate downtime with high accuracy.

2023年，斯坦福大學的研究人員使用ML探索了預測和防止區塊鏈停機時間。他們發現，將有關哈希酸鹽，交易和網絡活動的數據結合起來，使算法能夠以很高的精度預測停機時間。

This matters because chain downtime is a loss for all miners, and anything reducing that is useful.

這很重要，因為鏈停機時間對所有礦工來說都是損失，並且任何減少有用的東西。

In 2025, ML is also being used to optimize cooling in large-scale mining facilities,

在2025年，ML還用於優化大型採礦設施中的冷卻，