# Network Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Network", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Idle Macs Can Also Make Money? An Overview of Eigen Labs' Decentralized AI Inference Network Darkbloom

AI inference is becoming a crucial layer of internet infrastructure, yet it remains largely dependent on costly, capacity-limited centralized systems with potential security risks. Meanwhile, millions of powerful computers sit idle globally. Eigen Labs' Darkbloom network aims to utilize this idle capacity by enabling distributed AI inference on Mac computers, specifically those with Apple Silicon chips. Darkbloom's architecture consists of three components: users who send inference requests, a coordinator (operated by Eigen Labs) that routes these requests, and providers (Mac owners) whose machines run the models and return outputs without being able to see the request content. The system prioritizes privacy through a hardened provider process, software integrity checks, and hardware-supported attestation based on Apple's security architecture to ensure verifiable privacy. Economically, Darkbloom differs from traditional models. It leverages existing hardware, with marginal costs primarily driven by electricity, allowing it to offer pricing roughly 50% lower than major API aggregators. Providers keep 100% of the inference revenue, and the project does not rely on token subsidies; earnings come solely from real AI inference demand. However, early-stage earnings are modest, with top providers currently earning under $6 per day, influenced by factors like hardware specs, uptime, and network demand. The network currently supports models like Google's Gemma 4 and OpenAI's GPT-OSS via OpenRouter. To participate as a provider, users need an Apple Silicon Mac running macOS 14 or later, must install the Darkbloom provider software, and keep the machine online with a stable internet connection.

marsbit06/22 07:16

Idle Macs Can Also Make Money? An Overview of Eigen Labs' Decentralized AI Inference Network Darkbloom

marsbit06/22 07:16

Token Packages Are Here, Are Telecom Operators in a Hurry?

Major Chinese telecom operators are launching token-based AI computing packages, sparking public debate and highlighting a strategic shift amid slowing traditional revenue growth. In May, Shanghai Telecom introduced token plans (e.g., 9.9 RMB for 10 million tokens), quickly followed by nationwide offerings from China Telecom, China Mobile, and China Unicom. While priced higher than major AI firms like DeepSeek, these packages allow users to access multiple AI models via API using their phone bills, similar to purchasing universal mobile data. The move reflects operators' anxiety as traditional voice, SMS, and data services stagnate. With revenue growth hitting multi-year lows in 2025, AI and computing power represent a critical new frontier. However, current C端 offerings, such as AI photo editing or virtual pets, are seen as non-essential and highlight operators' role as "pipes" or integrators rather than creators of compelling AI products. Beyond consumer packages, operators aim to become key infrastructure players in China’s national computing power network. They position themselves as the "power grid" delivering AI算力, leveraging their vast network of base stations to ensure low-latency, reliable coverage, especially for applications like autonomous driving. This infrastructure role, coupled with unified national调度, could make算力 a ubiquitous utility, driving new consumption scenarios even if mass adoption of token packages remains uncertain.

marsbit05/22 10:15

Token Packages Are Here, Are Telecom Operators in a Hurry?

marsbit05/22 10:15

A Century Before Swift and Blockchain, China Built Its Own Cross-Border Financial Network

A century before Swift and blockchain, China's cross-border financial miracle: The Qiaopi Network. Driven by the phrase "a promise is greater than life," the Qiaopi (overseas Chinese remittance letter) system was a remarkable, entirely private financial network. Operating for over a hundred years until 1979, it facilitated billions in remittances, at one point constituting over 50% of China's foreign exchange during WWII—all without central banks, official clearing, or government backing. It began with "Shuike" (water guests), couriers who carried cash and letters personally between Southeast Asia and Chinese villages like Chaozhou. Their operation was peer-to-peer, identity-verified through kinship, and had a near-zero default rate, as trust was their sole collateral. This evolved into "Piju" (remittance houses), creating an institutional network. They ingeniously used currencies like the Hong Kong Dollar for settlement and practiced netting clearance, offsetting remittance flows against trade payments to minimize physical cash movement. Its resilience shone in wartime. When Japanese forces cut off main routes, the network forged an underground "Dongxing Remittance Path" through Vietnam. It used coded messages ("a bag of rice" for a sum of silver) to evade interception, reliably delivering funds critical for survival and even clandestine support for the war effort. Unlike Swift (built on state cooperation) or blockchain (relying on cryptography), Qiaopi was founded on clan,乡土 (native place), and human trust—a cultural consensus where违约 meant social death. Modern finance compensates for this lost trust with complex collateral and regulation. The Qiaopi network, powered only by sailing ships, familiar accents, and profound integrity, achieved a feat of decentralized, cross-border finance that remains unparalleled—a poignant story of信用 (trust/credit) in its purest form.

marsbit05/15 04:04

A Century Before Swift and Blockchain, China Built Its Own Cross-Border Financial Network

marsbit05/15 04:04

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