Cardano Founder Hoskinson Just Released A Free Book On Zero-Knowledge

bitcoinist2026-03-30 tarihinde yayınlandı2026-03-30 tarihinde güncellendi

Özet

Cardano founder Charles Hoskinson has released a free, 357-page book titled "Proving Nothing: A Layered Guide to Zero-Knowledge Proof Systems" under a Creative Commons license. Designed as a non-technical introduction, the book uses a seven-layer framework to explain ZK systems, covering topics from cryptography and proof systems to private smart contracts and zkVMs. Hoskinson stated the project aims to address the low understanding of ZK technology and also serves as an introduction to Midnight, Cardano’s privacy-focused network. The book is intended to be a living document, with plans to update it as Midnight develops and new advancements emerge.

Cardano founder Charles Hoskinson has released a free book aimed at explaining zero-knowledge systems to a broader crypto audience, framing it as both an educational project and an on-ramp into Midnight, Cardano’s privacy-focused network. The linked GitHub repository shows the work is being published under a Creative Commons Attribution 4.0 license, while the latest public release is now titled Proving Nothing: A Layered Guide to Zero-Knowledge Proof Systems.

Cardano Founder Drops Free 337-Page ZK Book

In a March 27 livestream, Hoskinson said the project grew out of what he described as a “shockingly low level of understanding” around zero-knowledge proofs and ZK cryptography. “So I wrote a 337 page book over the last few months,” he said. He described it as a non-technical manual, though one that still contains a significant amount of technical material, built around a seven-layer framework for understanding how ZK systems are designed from setup and languages down to proof systems, cryptography, and the verification environment.

That structure is central to the pitch. The Cardano founder said the framework is meant to help readers “understand all ZK systems from that lens,” then move upward into adjacent privacy-enhancing technologies and, eventually, Midnight itself. The repository’s README makes the same case in more formal language, describing the book as a guide to “the entire zero-knowledge stack from the ground up” and arguing that ZK systems do not remove trust so much as decompose it into smaller, testable pieces.

The Midnight angle is not incidental. Hoskinson explicitly presented the book as “a good way of introducing Midnight to people,” and said one chapter is dedicated to the network, even if the broader work is designed as a general introduction to zero-knowledge.

He also said the book goes beyond the seven-layer model into private smart contracts, the Aleo-linked ZEXE model, Midnight’s Kachina system, zkVMs, STARK-to-SNARK pipelines, and the wider market landscape for privacy and proof systems.

That scope has already expanded since the version Hoskinson described on video. The GitHub release notes for v1.10, published on March 30, show the book was renamed from The Seven-Layer Magic Trick to Proving Nothing, and now ships in both EPUB and PDF formats. The file inventory in that release lists a 357-page dark-mode PDF, while the chapter notes show edits and additions across 14 chapters, including sections on zkVMs, market structure, eIDAS 2.0, rollups, and a more detailed Midnight case study.

Hoskinson also made clear that this is not a static publication. “This is the first edition, version 1.01,” he said in the livestream. “I’ll keep adding and changing and work on it throughout the weekends as more things come up and as more stuff in Midnight gets launched, I’ll add to this.” That matters because the book appears designed less as a one-off manifesto than as a living educational document tied to Midnight’s rollout and the broader commercialization of privacy tech.

At press time, Cardano traded at $0.2468.

Cardano hovers below key resistance, 1-monthly chart | Source: ADAUSDT on TradingView.com

Trend Kriptolar

İlgili Sorular

QWho is the author of the free book on zero-knowledge systems and what is the book's title?

AThe author is Charles Hoskinson, the founder of Cardano, and the book is titled 'Proving Nothing: A Layered Guide to Zero-Knowledge Proof Systems'.

QWhat was the primary motivation for Charles Hoskinson to write this book?

AHe was motivated by what he described as a 'shockingly low level of understanding' around zero-knowledge proofs and ZK cryptography, aiming to provide an educational resource for a broader audience.

QHow is the book structured to help readers understand zero-knowledge systems?

AThe book is built around a seven-layer framework that explains how ZK systems are designed, from setup and languages down to proof systems, cryptography, and the verification environment.

QWhat is the connection between this book and the Midnight network?

AThe book is framed as an educational on-ramp into Midnight, Cardano's privacy-focused network, with one chapter dedicated to it and the broader work designed to introduce people to the technology behind it.

QIs the book a static publication, and what is its current version and format?

ANo, it is a living document that will be updated. The current version at the time of the article is v1.10, and it is available in both EPUB and PDF formats.

İlgili Okumalar

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit59 dk önce

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit59 dk önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit1 saat önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit1 saat önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit1 saat önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit1 saat önce

İşlemler

Spot

Popüler Makaleler

ADA Nasıl Satın Alınır

HTX.com’a hoş geldiniz! Cardano (ADA) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında Cardano (ADA) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: Cardano (ADA) Varlıklarınızı SaklayınCardano (ADA) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: Cardano (ADA) Varlıklarınızla İşlem YapınHTX'in spot piyasasında Cardano (ADA) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

1.5k Toplam GörüntülenmeYayınlanma 2024.12.10Güncellenme 2026.06.02

ADA Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların ADA (ADA) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片