Two solo miner wins in one week

— 1. News:

Over the past week, from October 20 to 24, solo miners managed to mine two Bitcoin blocks, receiving a total of 6.2 BTC in rewards.

— October 20 — One of the solo miners successfully mined a block and received 3.1 BTC (~$344,000).

— October 24 — Another solo miner repeated the success, earning 3.1 BTC (~$347,000). The miner used their own mining pool hosted on the Umbrel server.

Even in the era of large pools, individual miners continue to prove that luck in the Bitcoin network is still alive.

— 2. News: What would happen if you gave a neural network $10,000 and let it loose on the real cryptocurrency market?

A new benchmark, nof1.ai, has appeared, where different LLMs trade cryptocurrency for real $10,000 to test their intelligence in the markets.

The experiment is the first test of its kind, where the intelligence of models is tested not in theory, but in real market conditions with risks, volatility, and real money.

Input data:

— Each model is given $10,000.

— Modern language models (LLMs) independently trade crypto assets through the Hyperliquid exchange API (the largest futures exchange).

— They are given the same prompt: “earn as much as possible.”

As of October 24, Qwen3 Max is in the lead, increasing its balance to $15,131 (+51.3%), followed by DeepSeek Chat V3.1 with $11,569 (+15.7%). Claude Sonnet 4.5 and Grok 4 are balancing at a slight loss, while Gemini 2.5 Pro and GPT-5 are in clear decline, losing more than 65-70% of their capital.

As the head of Goldman Sachs recently stated in an interview (October 2025), LLM is not yet capable of generating profitable strategies and assisting in the development of investment strategies for hedge funds.

In reality, the experiment seems absurd. Even the most advanced AI models are not yet capable of “feeling the market” and responding meaningfully to its dynamics. And the best “crash test” for these models may still be ahead. For example: Trump's unexpected tweet. Let's see how they behave. Perhaps they will soon switch to memecoins out of desperation.

— 3. News: 

Tether enters the field of artificial intelligence:

➥ Tether announced the launch of QVAC Genesis I, the world's largest synthetic dataset, with a volume of 41 billion tokens.

➥ The idea is to democratize artificial intelligence: to make AI accessible to everyone, not just Big Tech.

“AI technologies should not be centralized. They should belong to people, not corporations.”

➥ Along with the dataset, the company introduced QVAC Workbench, a local AI platform where models run directly on the user's device without accessing cloud services.

➥ Open models are supported: Llama, MedGemma, Qwen, Whisper, SmolVLM, and others.

➥ The app is available for Android, Windows, macOS, and Linux, with an iOS version coming soon.

➥ All data remains with the user, but it is possible to connect a phone and PC via P2P to utilize the computing power of a computer/laptop.

➥ Tether is betting on Local AI — artificial intelligence that runs on users' devices rather than on corporate servers.

— 4. News:

Trezor takes security to a new level. Introducing the Safe 7 hardware wallet:

Trezor is one of the pioneers in the hardware crypto wallet market, a brand that stands at the forefront of the concept of secure offline storage of digital assets. Trezor products are traditionally valued for their open source code, transparent architecture, and high level of protection against hacking.Trezor has unveiled Safe 7, a hardware wallet designed with post-quantum threats in mind. The device features TROPIC01, the world's first publicly auditable security chip, making it a unique solution among all existing hardware storage devices.

The wallet features a touchscreen, aluminum body, Bluetooth, and Qi2 magnetic charging. All actions are physically confirmed, and keys are isolated from the external system.

According to Trezor CTO Tomas Sushanka, the combination of open source code and quantum architecture sets a new standard for security. The price is $249, pre-orders are already open, and shipments will begin in a month.

— 5. News:

The Rumble video platform has announced a partnership with Tether:

Rumble is an online video platform focused on content creators and independent voices, where you can upload videos, stream, monetize, and build your own audience.

The Rumble video platform has announced a partnership with Tether to launch BTC donations, which will soon be available to more than 51 million active users.

The Rumble team shared a video on social network X (formerly Twitter) showing the first donations sent to one of the platform's founders, former Canadian politician David Freiheit.

According to the company's CEO, testing is already underway, and the full launch is scheduled for December, after final interface refinements and bug fixes.

Earlier, CEO Paolo Ardoino stated that Tether intends to actively promote the new USAT “American stablecoin” — initially, it will be used on the Rumble platform, which has 51 million active monthly users.

— 6. News:

Kyrgyzstan's national stablecoin launched on the BNB Chain blockchain

➥ A national crypto reserve has been created, which includes the BNB token.

➥ Preparatory stages for the launch of CBDC have been completed. The state digital currency will soon begin to be used for official settlements and other financial transactions.

➥ Binance Academy is collaborating with ten leading universities to implement educational programs on blockchain technology and cryptocurrencies.

Binance Academy is an educational project from Binance that explains how blockchain, cryptocurrency, and Web3 work in a simple and accessible way.

➥ A large-scale Binance Meetup event was held in Bishkek, bringing together over a thousand participants and enthusiasts from the crypto industry.

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Cryptocurrency market operates 24/7/365 without interruptions. Before investing, always do your own research and evaluate risks. Nothing from the aforementioned in this article constitutes financial advice or investment recommendation. Content provided «as is», all claims are verified with third-parties and relevant in-house and external experts. Use of this content for AI training purposes is strictly prohibited.