AI地雷比特币可以更快吗？ 2025年AI驱动比特币采矿的现实

本文阐明了2025年AI驱动的比特币采矿的现实，将事实与小说区分开来，并详细介绍了人工智能如何以意想不到的方式重塑采矿业。

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

在2025年，人工智能周围有很多炒作，导致了一个问题：AI矿山比特币可以更快吗？

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.

尽管AI无法加快比特币开采的速度，但它可以使过程更具创新性，高效且定时性，随着采矿的竞争性越来越高，这一过程变得越来越有价值。

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.

本文阐明了2025年AI驱动的比特币采矿的现实，将事实与小说区分开来，并详细介绍了人工智能如何以意想不到的方式重塑采矿业。

How Is Artificial Intelligence Used in Bitcoin Mining?

比特币采矿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.

根据马拉松数字首席执行官弗雷德·泰尔（Fred Thiel）的说法，从2024年左右开始的现代采矿设施正在使用AI决定何时开采，挖掘多少以及如何管理电力使用。

“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.

“我们有AI系统正在查看能源价格和链条确定最佳输出水平的难度。我们可以根据不同能源的相对成本来调整或向下调整哈希酸盐，并且我们还做出了有关分配功率的动态决策。

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，如果可再生能源证书降至一定阈值以下，我们将切换到该能源。而且，如果天然气期货的价格急剧上涨，我们将降低哈希龙，以避免产生高昂的运营成本。

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

我们从本质上创建了一个系统，在该系统中，采矿业务不断适应市场条件，以最大程度地提高盈利能力和可持续性。”

Here’s how this plays out in practice:

这是在实践中的表现：

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.

这种设置是Thiel所说的响应式采矿，AI不做采矿，但使整个系统更加聪明和适应性。

The Role of Machine Learning In Bitcoin Mining Efficiency

机器学习在比特币采矿效率中的作用

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

虽然AI忍不住解决哈希，但机器学习（ML）可以改善比特币采矿过程的其他所有内容。

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

这些工具不会提高哈希速度，但是减少了停机时间，避免损失并提高利润率，这也同样重要。

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，斯坦福大学的研究人员使用ML探索了预测和防止区块链停机时间。他们发现，将有关哈希酸盐，交易和网络活动的数据结合起来，使算法能够以很高的精度预测停机时间。

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

这很重要，因为链停机时间对所有矿工来说都是损失，并且任何减少有用的东西。

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还用于优化大规模采矿设施中的冷却，最大程度地减少能源使用并减少对ASIC的维护。

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.

这些技术主要集中在降低运营成本和最大化正常运行时间上，这对矿工而言一直是不断关注的问题，尤其是随着行业变得更加竞争力。

Common Misconception: Can AI Mine Bitcoin Faster Than ASICs?

常见的误解：AI矿山比特币比ASIC更快吗？

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算法是比特币开采的中心，无法通过AI绕过或加速。 ASIC及其专用硬件的幅度仍然比任何软件算法的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并没有取代ASIC，而是通过确定最佳采矿时间，产出水平和电力分配来增强采矿过程的智能。它将采矿转变为响应能源成本，硬件状态和实时网格条件的动态过程。

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，加密货币采矿中AI的叙述着重于优化执行，而不是改变基本采矿过程。它的作用是整合和协同作用，而不是动荡。

Key Takeaways

关键要点

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

在2025年，人工智能周围有很多炒作，导致了一个问题：AI矿山比特币可以更快吗？

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.

尽管AI无法加快比特币开采的速度，但它可以使过程更具创新性，高效且定时性，随着采矿的竞争性越来越高，这一过程变得越来越有价值。

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.

本文阐明了2025年AI驱动的比特币采矿的现实，将事实与小说区分开来，并详细介绍了人工智能如何以意想不到的方式重塑采矿业。

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

AI驱动的比特币采矿：AI真的可以更快地挖掘比特币吗？

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.

根据马拉松数字首席执行官弗雷德·泰尔（Fred Thiel）的说法，现代采矿设施正在使用人工智能决定何时开采，挖掘多少以及如何管理电力使用。

Here’s how it works in practice:

这是它在实践中的工作方式：

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将这种设置称为AI不做采矿的一种响应式采矿形式，但使整个系统更加聪明和适应性。

The Role of Machine Learning in Bitcoin Mining Efficiency

机器学习在比特币采矿效率中的作用

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

虽然AI忍不住解决哈希，但机器学习（ML）可以改善比特币采矿过程的其他所有内容。

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

这些工具不会提高哈希速度，但是减少了停机时间，避免损失并提高利润率，这也同样重要。

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，斯坦福大学的研究人员使用ML探索了预测和防止区块链停机时间。他们发现，将有关哈希酸盐，交易和网络活动的数据结合起来，使算法能够以很高的精度预测停机时间。

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

这很重要，因为链停机时间对所有矿工来说都是损失，并且任何减少有用的东西。

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

在2025年，ML还用于优化大型采矿设施中的冷却，