1 day ago
DePIN: decentralized carnal infrastructure networks
While DePIN projects, successful theory, effort to supply existent inferior to crypto, determination are fewer that genuinely lick real-life problems, person a sensible concern exemplary susceptible of disrupting existing companies and cannot beryllium easy spoofed. Most are simply solutions successful hunt of a problem. One notable objection is simply a flight-tracking web called Wingbits. Why? Because it addresses a Web2 occupation by solving it with Web3 incentives. For anyone who has ever tracked a formation specified arsenic BA117 from London to New York, you whitethorn person utilized websites similar FlightAware oregon Flightradar.
Figure 1: Wingbits formation tracking map
Source: Wingbits - Transforming Flight Tracking.
Flight-tracking companies make millions successful gross by selling formation information to aviation companies and to buyers similar fiscal analysts who show backstage pitchy movements for mergers and acquisitions. These companies besides gain gross from ads and subscriptions connected their platforms. However, their superior expenditure does not see important infrastructure and hardware expenses. This is due to the fact that the aviation surveillance technology, called ADS-B receivers, is simply a hardware which requires antennas and Raspberry Pis, purchased and configured by aviation enthusiasts. These enthusiasts expect small successful return, often receiving conscionable a escaped subscription to their favourite flight-tracking platform.
The main occupation is that enthusiasts are not incentivized to maximize the prime of information for these networks. Without marginal incentives, ADS-B receivers are often poorly placed — for instance, successful lounge country corners oregon oversupplied successful densely populated municipality areas, starring to anemic sum successful agrarian regions.
Figure 2: (LHS) Traditional ADS-B receiver, (RHS) Wingbits miner
Source: Wingbits - Transforming Flight Tracking.
Wingbits is revolutionizing formation tracking by incentivizing enthusiasts to acceptable up stations strategically, based connected altitude, portion utilizing a strategy akin to Uber’s hexagonal hierarchical spatial index. This attack ensures optimized coverage, higher-quality information and astir importantly, just rewards for contributors to the network. They achieved sum of 75% of the largest networks with lone 1/11th the fig of Wingbits stations. This precocious level of efficiency, combined with an expected rollout of 4,000+ stations, is anticipated to surpass accepted flight-tracking networks by a important margin, delivering better-quality information to extremity customers.
The adjacent household meal speech explaining this conception volition travel easy arsenic we tin present constituent to a real-world usage case, driven by crypto incentives, that mundane radical tin understand.
Crypto x AI
Similar to marketplace cycles, the request for compute experiences peaks and troughs. GPUs tin beryllium expensive, and proviso constraints marque them adjacent much so. Unlocking idle compute connected user devices is not a caller concept, but solving the synchronization situation crossed aggregate devices is. Exo Labs is simply a pioneering task achieving breakthroughs successful borderline computing, enabling users to tally models connected mundane consumer-grade devices, specified arsenic household MacBooks. This means delicate information remains nether your control, reducing risks associated with cloud-based retention oregon processing.
Figure 3: A 9-layer exemplary is divided into 3 shards, each moving connected a abstracted device
Source: Transparent Benchmarks - 12 Days of EXO, EXO Labs.
Exo Labs has developed a caller bundle infrastructure called pipeline parallel inference, which enables a ample connection exemplary (LLM) to beryllium divided into “shards,” allowing antithetic devices to tally abstracted parts of the exemplary portion remaining connected implicit the aforesaid network. This attack offers assorted advantages specified arsenic reduced latency, enhanced security, outgo ratio and astir importantly, privateness benefits.
Exploring privateness further reveals Bagel AI, a task that has developed ZKLoRA (Zero-Knowledge Low-Rank Adaptation), a privacy-preserving attack to fine-tuning LLMs. This innovation enables the instauration of specialized models for industries similar ineligible services, healthcare and finance, allowing delicate information to beryllium utilized for reinforcement learning without risking confidential accusation leaks.
While privateness preservation is simply a blistery topic, a bigger situation for astir LLMs is the hallucination problem, a effect generated by AI that contains mendacious oregon misleading accusation presented arsenic fact. A portfolio manager erstwhile told me, “Wisdom lies successful synthesizing competing viewpoints to uncover the nuanced information betwixt 2 extremes.” Blocksense is simply a task that has developed a proprietary attack called zkSchellingCoin consensus. This method aims to overlay subjective truths from aggregate sources – say, antithetic LLMs – to get astatine a single, communal truth. For example, ideate moving the aforesaid query crossed ChatGPT, Claude, Grok and Llama. If 1 exemplary provides an incorrect output, it is statistically improbable that each 4 models volition make the aforesaid mendacious effect erstwhile compared against each other.
Figure 4: Overview of the zkSchellingCoin Consensus
Source: Blocksense Network - The zk Rollup for Programmable Oracles.
The zkSchellingCoin statement could besides beryllium applied to adding verifiability to AI inference. For instance, however tin we corroborate that an AI cause correctly bridged USDC into the highest-yielding vault astatine the clip of execution? Trust successful AI would beryllium importantly strengthened with an further verification layer. If we tin lick this without compromising outgo oregon latency, it could pb to a large breakthrough successful real-world usage cases.
The travel from hype to world successful DePIN and AI shows that genuine innovation lies successful solving real-world problems with applicable and businesslike solutions. Projects similar Wingbits and Exo Labs beryllium however blockchain and AI tin make meaningful interaction — whether by revolutionizing formation tracking with strategical incentives oregon unlocking the powerfulness of user devices for unafraid and cost-effective computing. With advancements similar ZKLoRA for privacy-preserving AI and zkSchellingCoin for verifiable truth, these emerging technologies are poised to code captious challenges, paving the mode for a much decentralized, businesslike and trust-verified future.
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